Linguistic and Legal Ontologies

Size: px
Start display at page:

Download "Linguistic and Legal Ontologies"

Transcription

1 Linguistic and Legal Ontologies Tommaso Agnoloni ITTIG-CNR Institute of Legal Information Theory and Techniques (CNR, Italy) LEX Summer School 2012 Sept. 13, 2012, Ravenna

2 Semantic resources - Thesauri: concepts and their lexicalizations (keywords, topics) - Linguistic knowledge (Lexicons Semantic networkslightweight ontologies) - Domain knowledge (Ontologies conceptual models)

3 Lexical resources knowledge representation about words that refer to objects semantic networks (lexical or lightweight ontologies): nets of concepts structured according to lexical, taxonomic and conceptual relations Focus is on terminology concept density Language dependent constraints over relations are based on POS (Part Of Speech) categories.

4 Conceptual resources Knowledge representation about objects of the world Formal ontologies: classes of entities described by formal (meta)properties and attributes add axioms and constraints to clarify the intended meaning of the terms gathered on the ontology agreed among the members of a community of interest axiomatic characterisation (allow reasoning) formal constraints density Language independent

5 Legal domain RESOURCES TASKS Legal sources Access / publication / transparency Comparison / Harmonization Drafting Interoperability / exchange Compliance / procedures Services Mulilingualism Multi Legal systems Legal Sources integration Legal language Legal knowledge

6 1 Thesauri LEX Summer School 2012 Sept. 13, 2012, Ravenna

7 traditional lexical resources structured vocabularies (e.g. taxonomies, directories, thesauri, classification schemas) are lists of terms organized in hierachies (BT/NT) and linked by generic RT (related term) relations No semantic constraints Information Retrieval oriented Focus is on documents tagging and classification Do not address linguistic aspects of terminology

8 KOS and SKOS (KOS) Knowledge Organization Systems (including controlled vocabularies, taxonomies, thesauri) exist and have been used since a long time, in particulary in libraries and then in digital libraries. More recently standards for their representation and exchange on the web have been introduced SKOS (Simple Knowledge Organization System) is a W3C recommendation providing a format fot the standard reperesentation of KOS in interoperable, distributed and linkable way The fundamental difference between SKOS and other representation formats is that it is based on the principles of the Semantic Web. Differently from other existing standards, SKOS have been designed from the very beginning to allow the creation of modular KOSs that can be reused and referred over the web (interconnected controlled vocabularies)

9 SKOS Semantic Web standards RDF and RDFS provide the infrastructure for the creation of a distributed network of data Based on RDF, SKOS inherits its power in terms of flexibility and distribution Since SKOS is represented in RDF, each concept has its unique identifier (its URI), that identifies it as a resource that can be univocally referred on the web and over which assertions can be stated

10 SKOS Data Model Sean Bechofer: SKOS Past, present, future

11 SKOS Concept in RDF <skos:concept rdf:about="http://www.ittig.cnr.it/dogi/descriptor#s1018"> <rdf:type rdf:resource="http://www.w3.org/2002/07/owl#namedindividual"/> <skos:preflabel xml:lang="it">responsabilità penale</skos:preflabel> <skos:altlabel xml:lang="it">...</skos:altlabel> <skos:preflabel xml:lang="en">criminal liability</skos:preflabel> <skos:broader rdf:resource="http://www.ittig.cnr.it/dogi#c0014"/> <skos:related rdf:resource="http://www.ittig.cnr.it/dogi/term#d4977"/> <!-- es. mapping to BNCF Nuovo Soggettario --> <skos:exactmatch rdf:resource="http://purl.org/bncf/tid/12679"/> </skos:concept> See: Monolingual and multilingual variants

12 Multilingual Thesaurus of the European Union

13 Thesaurus based cross language retrieval

14 Low level interoperability: ECRIS The computerised system ECRIS was established to achieve an efficient exchange of information on criminal convictions between EU countries.

15 IPSV Integrated Public Sector Vocabulary

16 enables all local authorities to record their public facing services against a comprehensive list of services, processes and interactions

17 Economic thesaurus

18 Crowd sourced resources Manual construction huge effort, costly Concepts, Definitions, Categories, Multilinguality: WIKIPEDIA, WIKTIONARY (crowdsourcing) Wide coverage Low formality DBPedia, mapping/linking, reuse

19 LAW on WIKIPEDIA

20 Formalization: DBPedia resource (RDF)

21 EDITING/BROWSING: VocBench VocBench is an opensource web-based, multilingual, collaborative vocabulary editing and workflow tool originally developed by FAO for AGROVOC agricultural thesaurus editing and manteinance (20 language, terms)

22 VocBench Data model / SKOS-xl SKOS-XL defines an extension for the Simple Knowledge Organization System, providing additional support for describing and linking lexical entities

23 References /1 SKOS Reference Documentation Sean Bechofer, SKOS past present and future, Heather Hedden, The Accidental Taxonomist, Medford, N.J. : Information Today, 2010 Eurovoc Conference: Mind The Lexical Gap (2010) Agrovoc VocBench: Greenberg, J., Losee, R., Pérez Agüera, J.R., Scherle, R., White, H., and Willis, C. (2011). HIVE: Helping Interdisciplinary Vocabulary Engineering. Bulletin of the American Society for Information Science and Technology, 37 (4):

24 2 Linguistic ontologies LEX Summer School 2012 Sept. 13, 2012, Ravenna

25 Lexical Resources CHALLENGE: Natural languages strongly characterized by AMBIGUITY and LEXICAL VARIABILITY AIM: find an adequate model taking into account such phenomena TASKS: Acquisition from texts of lexical meaning lexical similarity text categorization automatic disambiguation (WSD Word sense disambiguation) multilinguality NLP algorithms need data to operate: - big textual collections (corpora) multilingual parallel corpora - proper linguistic resources like lexicons and grammars

26 Lexical Ontologies A lexical knowledge base is a database representing lexical meaning to be accessed by systems for text analysis provide (explicit) knowledge background to machines to deal with natural language System of symbols representing concepts encoded by natural language expressions (lexical units, terms, etc.) Further: specify semantic classes grouping terms at semantic level car, van, truck dog, cat, horse Beach,spiaggia piano concert, rock concert VEHICLE ARTIFACT MAMMAL ANIMAL OBJECT BEACH LOCATION CONCERT EVENT ENTITY

27 Typologies of lexical ontologies Monolingual vs multilingual General purpose vs domain specific Type of content (Morpho)syntactic Semantic Terminological Mixed

28 Semantic computational lexicons Represent the meaning of a word Distinguish different senses of a word Represent similarity, relatedness etc. (e.g. bank, check, money are concepts related to finance)

29 WordNet Inspired by psycholinguistic theories of human lexical memory Born and developed for English at the cognitive science laboratory of Princeton University Lexical Semantic Resource Semantic Lexicon Maps words to meanings (senses) WordNet is organized around word meaning (not word forms as with traditional lexicons) Freely available As a DB, in formal structure, as API

30 WordNet Synsets - Wordnet partitions the lexicon in nouns, verbs, adjectives and adverbs each organized in sets of cognitively equivalent synonims or synsets nounsynset {vacation, holiday} verbsynset {close, shut} adjectivesynset {soiled, dirty} - each set of synonims represent a lexical concept and then a sense - each member of a synset encodes the same concept - every concept is associated with a particular PART OF SPEECH (noun, verb, adjective, adverb)

31 Synsets and Senses Synsets represent word meaning Words that occur in several synsets have a corresponding number of meanings (senses) Synsets do not explain a concept but merely exemplify that a concept exist

32 Concept meaning is explained by a gloss a specific concept can be referred using one or more lexical form lexical form: is the way used to represent a single word as a sequence of characters A term can represent several concepts (wordsenses): e.g diritto (right) and diritto (law)

33 The WordNet knowledge organization system Every WordSense is associated exactly to a single synset Every WordSense is referred to a single lexical form Every lexical form can belong to one ore more Wordsense and thus can be associated to one or more synsets (polysemy) Synset 1 N WordSen se N 1 LexicalFor m

34 Synset Hierarchy Synsets are organized in hierarchies generalization (hypernymy) specialization (hyponymy) Hierarchy Example

35 WordNet Relations Synsets are bound by semantic intra-lingual relations hyponymy hypernymy meronymy olonymy constituting a rich semantic network and by inter-lingual equivalence relations, set by an interlingual index (ILI)

36 Multilingual access: EuroWordNet - EWN developed a methodology to connect the semantic networks created for the different european languages; - ILI : Inter Lingual Index, each synset in a monolingual WN has at least one equivalence relation with an ILI record; - concepts ( synset of a monolingual WN ) connected to the same ILI record are considered equivalent concepts.

37 The Inter-Lingual Index

38 The EuroWordNet Architecture Domain ontology Top ontology 2nd order entity traffic air traffic road traffic III ride III move III III English WordNet conducir I II berijden III III betragen II ILI record (drive) II Inter Lingual Index Spanish WordNet III rijden I III mover dynamic drive III cabalga r location II guidare III Dutch WordNet cavalcar e III III muoversi Italian WordNe t

39 OntoWordNet: KOS translation in a standard OWL format Formal specification of WordNet through extension and axiomatization of its conceptual relations - Mark van Assem, Aldo Gangemi, Guus Schreiber

40 Linguistic resources in the legal domain LEGAL LANGUAGE: TERMS have precise meaning (e.g. legal definition) Still, terms can be polysemous and should therefore be assigned to more than one concept prescrizione (decorrenza dei termini, obbligo) IT:Diritto ES: Derecho to both EN:Right EN:Law LEGAL CONCEPT (language independent, legal system independent?) Its LEXICAL REPRESENTATION within a linguistic system Its LEXICAL REPRESENTATION in different linguistic systems

41 JurWordNet - a Semantic Network for the Legal Domain From a list of domain specific words: < Activity, civil action, proceeding, legal proceeding, judicial proceeding, criminal procedure, administrative procedure,civil law suit;> To a structured vocabulary: {Activity} {proceeding} Synset: a set of words that can be interchanged in a given context {judicial proceeding, legal proceeding} {criminal procedure} {civil law suit, civil action } {administrative procedure}

42 JurWordNet canone annuo canone di abbonamento JW s.n.4 Prestazione Ordinamento canonico in denaro s. n. 3 norma legge canone IW JW Senso n.1:catalogo dei santi canonizzati Senso n.2: composizione musicale a più voci

43

44 Word sense disambiguation: semantic polisemy the 4 senses of the Italian term ordine : a command given either in speech or writing by a person or body having the authority to do so {ordine}it, {Befehl_2}DE, {bevel,opdracth-2} NL{ordem_5}PT, {prikaz} CZ. arrangement of separate elements according to specific criteria, {ordine-2}it,{order_6} EN,{Ordnung} DE,{ordening} NL, {ordem_6} PT,{usporadami} CZ. a group of persons or things which form a separate/independent category, because they share a condition or some particular characteristics {ordine_3}it,{}en,{klasse}de, {klasse, soort} NL ordem_3}pt,{}cz. the political and social structure of a state{ordine_4}it, {system}en,{gesellschaftsordnung} DE,{maatshapellicjik systeem} NL,{ordem_4 } PT.

45 Word sense disambiguation: contextbased polysemy Lexical Definition - worker_1: a person who works at a specific occupation. has_hyper EU Directives Definitions: : worker_2: any person who, in the Member State concerned, is protected as an employee under national employment law and in accordance with national practice; has_hyper : worker_3: any person carrying out an occupation on board a vessel, including trainees and apprentices, but excluding port pilots and shore personnel carrying out work on board a vessel at the quayside; worker_4: any person employed by an employer, including trainees and apprentices but excluding domestic servants; : worker_5: any worker as defined in Article 3 (a) of Directive 89/391/EEC who habitually uses display screen equipment as a significant part of his normal work.

46 Ontology-based disambiguation: systematic polysemy between an institution, a function, and a physical object the entry President of the Republic can indicate a physical person, the constitutional body, or the holder of the state function. between a normative content and a physical entity the entry contract is a legal transaction (e.g. the content of a contract) is expressed by an information object (e.g. the linguistic encoding of the content of a contract) which is realized by a legal document (e.g. the physical object realizing the encoding of the contract)

47 Linking linguistic to formal ontologies linguistic ontologies support semantic annotation and improve conceptual and cross lingual retrieval even if: Multilingual mapping is language dependent Shallow semantic characterization (no distinctions between domain and linguistic relations) Similarities setting and senses distinctions are explicited but not justified In more complex applications, as: terminological consistency checking (e.g. In legislative drafting ), concept comparison knowledge sharing the lexical layer must be anchored to a deeper conceptualization

48 Disambiguation by external link to Core and Foundational Ontology Dolce Foundational (Upper) Ontology Entity Endurant physical object non-physical-object non-agentive-physical-object non-ag-social-object agentive-social-object Legal Core Ontology legal document legal description legally-constructed-institution Legal WordNet legal-evidence, legal proof municipality

49 The Lois multilingual database The LOIS (e-content ) database (33,000 concepts of private law domain in Italian, English, German, Czech, Portuguese and Dutch) built combining manual and semi-automatic methods and bottom-up and topdown concept extraction: manual translation of the Italian set of lexical concepts (JurWordNet) manual creation of new synsets by legal experts automatic extraction of explicitly defined concepts from legislative text by pattern extraction automatic extraction of lexical elements from text Disambiguation explicited by links to Core and Foundational Ontologies (Dolce+CLO)

50 Translating legal concepts Translating' legal concepts implies interpretation but: interpretation acts within a single legal system, translation acts from a source linguistic (and legal system) to a target linguistic and legal system 'Translating' legal concepts implies comparison among national juridical notions and institutes, but: In the European supra-national context, the legislative process has a creative, innovative role: Members States agree upon meaning assumptions which are not necessarily consistent with the national conceptualizations

51 Translating legal concepts An example: in Directive 99/44/EC English word: reasonably Italian (translation of Directive): ragionevolmente Italian (transposition law): con ordinaria diligenza (the latter is highly specialised, common to the terminology of the Italian legal literature and especially representing the correct fulfilment of the duties of the contractual parties: Art civil code) This is an evidence of extra-eu polysemy

52 conceptual misalignment Example: German Klar und verständlich 1) the print or the writing of the information must be clear and legible 2) the information must be intelligible by the consumer 3) the language of the information must be the national of consumer 1. print or writing Klar und verständlich Chiaro e Comprensibile 2. intelligibility 3. national language Clear and Understandable Need to distinguish between terms and meanings (concepts)

53 Multi-lingual Multi-LegalSystem Legal Taxonomy Syllabus The meaning(s) of legal terms cannot be separated from their relation to a legal system Legal terms can be translated, but Conceptual frames (= taxonomies) do not necessarily follow Methodology In-depth analysis of terms in different systems (including European Directives) Manual comparison based on legislation, jurisprudence, and doctrine Development of a resource for private law and an interface for resource update

54 Multi-lingual Multi-LegalSystem

55 Multi-lingual Multi-LegalSystem ontologies depend on the legal system!

56

57 Building lexical ontologies for law: methodological choices Definition or adoption of a Knowledge Organization System (KOS), e.g. WordNet. Concepts selection: bottom-up/ top-down manual/automatic Legal concept translation : how to set equivalence relations among legal concepts of different language (belonging to different legal systems)? Disambiguating several kinds of polisemy

58 Dalos (Drafting Legislation with Ontology-based Support) Dalos (eparticipation ) aims at providing the European Legislator with a semantic tool to support terminological harmonization and meaning coherence a modular architecture allows multiple views of the semantic components and a flexibile interfacing between lexical and formal ontological layers

59 Concept selection: the bottom-up approach of Dalos The DALOS lexicon is automatically extracted from EU texts (Directives and Judgments) on Consumer Law, using NLP tools (syntactic parsing, conceptual clustering, statistics, learning, etc.) Concepts selected by two NLP learning tools are merged and structured in a WordNet-like model A perfect equivalence relation holds among concepts automatically extracted from aligned fragments of multilingual parallel corpora (no need of a shared ILI) ontology alignment (Classification of concepts in a Domain Ontology)

60 Dalos (www.dalosproject.eu)

61 References /2 Carlo Strapparava, Semantica, book chapter in: "Instrumentum vocale: intelligenza artificiale e linguaggio", Bononia University Press, 2008 (in Italian) Fellbaum, C. (ed.) (1998). WordNet: An Electronic Lexical Database. MIT Press, Cambridge,Mass Gangemi, A., Guarino, N., Masolo, C., Oltramari, A., Schneider, L. (2002), Sweetening Ontologies with DOLCE. In: Proceedings of EKAW 2002 Peters W., Sagri M.T., Tiscornia D., (2007), The structuring of legal knowledge in LOIS, Artificial Intelligence andlaw, 15: Vossen, P., Peters, W. & Díez-Orzas, P. (1997). The Multilingual design of the EuroWordNet Database. In: Mahesh, K. (ed.), Ontologies and multilingual NLP, Proceedings of IJCAI-97 workshop L. Lesmo,, G. Boella, A. Mazzei, and P. Rossi. Multilingual conceptual dictionaries based on ontologies: Analytical tools and case studies. In Proc. of Conference Approaching the Multilanguage Complexity of European Law: Methodologies in Comparison, pages 1-14, Florence, November 2006 T. Agnoloni, L. Bacci, E. Francesconi, W. Peters, S. Montemagni and G. Venturi, A two-level knowledge approach to support multilingual legislative drafting, in J. Breuker, P. Casanovas, E. Francesconi, M. Klein (eds.), Legal Ontologies and Semantic Web, IOS Press, 2008

62 3 Ontologies - Legal ontologies LEX Summer School 2012 Sept. 13, 2012, Ravenna

63 Ontology (def.) An ontology is a formal specification of a shared conceptualization of a domain of interest formal: the ontology should be machine-readable shared: it is accepted by a group or community Further: it should be restricted to a given domain of interest and therefore model concepts and relations that are relevant to a particular task or application domain axiomatic characterisation (allow reasoning) formal constraints density Language independent

64 Typologies Purpose Interoperability (systems) / communication (humans) Systems engineering Generality Support knowledge acquisition Reasoning and problem solving Indexing and search Upper / Foundational / Top (e.g. Event) Core (central concepts) Domain (a vocabulary of a particular domain) Content Task (activity or process) Domain (vocabulary)

65 Upper-Core-Domain Breuker et al. 2005

66 Design approaches Top down Bottom up Reuse (e.g. informal knowledge, legacy) Standard vocabularies (dc, skos, foaf, FRBR,..) Patterns (typical solutions to recurrent modelling problems)

67 (some) Legal Ontologies Nuria Casellas Lex Summer School 2010 LKIF-Core Core Legal Ontology Ontology of Legal Cases Copyright ontology Best-user Ontology (BATNA): Minimal Model Economic Crimes Ontology: Free Legal Ontology (powers, persons, institutions)

68 CLO Core Legal Ontology The CLO provides the general categories of the legal domain that are in principle found in all the legal systems and sub domains, like: law, legal norm, regulation, legal agent, legal role [Gangemi et al. 2005] CLO depends on DOLCE+. The Norm Case pattern is a component within the CoreLegal (CLO) module: Legal cases conform to norms when actions, objects and values are classified by tasks, roles, and parameters respectively.. For example, an obligation for a role towards a task should correspond to a participation of an agent (object) in an action;

69 LKIF-Core Core ontology of basic legal concepts Importance Law Right Jurisdiction Permission Prohibition Rule Sanction Violation Power Duty Legal position Norm Obligation Permissive right Argument Abstractness deontic operator Law Norm Obligative right Permissive right Power Right Rule Time Anancastic rule Existential initiation Existential termination Potestative right Productive characterisation Absolute obligative right Legal Relevance Civil law Law Legal consequence Legislation Obligation Right Authoricy Deontic operator Duty Jurisdiction Legal fact Legal person Legal position Legal procedure Liability

70 LKIF-Core Core ontology of basic legal concepts 14 modules Top Basic action, expression, role Legal top, mereology, place, time, process Norm, legal-role, legal-action Vocabulary & Frames Modification, rules

71 A Legal Case OWL Ontology

72 Domain Ontology (DALOS)

73 Ontology-lexicon interfacement Ontology Lexicalisation Integrating ontologies (knowledge representation about objects) and lexicons (knowledge representation about words that refer to objects) Enriching ontologies with a lexical layer Conceptual characterization of concepts in semantic lexicons TASKS Q&A systems Ontology-based Information Extraction from text Text analytics Text mining Ontology Learning from text Lexical methods in Ontology Alignment Automatic Translation (Buitelaar, 2011) Requirements for ontology-lexicon model: Keep semantics separate from linguistic info clearly separate world from word knowledge

74 Dalos knowledge base

75 LemOn (Lexical Model for Ontologies) General model for formalizing lexical features relative to independently defined ontological semantics Embeds different lexical models: LMF, OWN, SKOS Provides a mean to connect lexical features to ontological semantics Ontology Entity: The ontology entity that describes the meaning of the concept in a languageindependent manner Lexical Sense: This object is used to attach all meaning-dependent properties of the word or term. Lexical Entry: This represents the word or term itself. Lexical Form: This object is used to describe a single form (e.g., plural, perfect, etc.) or an entry Written Representation: The actual string that the lexical entry is realized as.

76 References /3 D. Allemang, J. Hendler, Semantic Web for the Working Ontologist, Second Edition: Effective Modeling in RDFS and OWL, Morgan Kaufman, 2011 Casellas, N. (2010), Semantic Enhancement of Legal Information Are We Up for the Challenge?, available at J., Casanovas, P., Klein, M.C.A., Francesconi, E. (Eds.), Law, Ontologies and the Semantic Web, Frontiers in Artificial Intelligence and Applications, IOS Press, 2009 Gangemi, A, M.-T. Sagri, D. Tiscornia (2003).A Constructive Framework for Legal Ontologies, in Benjamins e.a., editors, Law and the Semantic Web, pp Springer Verlag, Berlin, vol R. Hoekstra, J. Breuker, M. Di Bello, and A. Boer. The LKIF Core ontology of basic legal concepts. In P. Casanovas, M. A. Biasiotti, E. Francesconi, and M.T. Sagri, editors, Proceedings of the Workshop on Legal Ontologies and Artificial Intelligence Techniques (LOAIT 2007), June A. Wyner and R. Hoekstra. A Legal Case OWL Ontology with an Instantiation of Popov v. Hayashi. Knowledge Engineering Review, xx:xx, To appear. J. McCrae, D. Spohr, and P. Cimiano Linking lexical resources and ontologies on the semantic web with lemon. In Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I (ESWC'11)

77 4 Linked Open Data and Resources Integration LEX Summer School 2012 Sept. 13, 2012, Ravenna

78 Open Data Open Data has to do with: Semantic Web Technologies Open formats Transparency Transparency and and participation participation Economic Economic value, value, innovation, innovation, services services - Open Data is about making data easily reusable in applications

79 The Open in Open Data Open Data is about data re-use A piece of content or data is open if anyone is free to use, reuse, and redistribute it subject only, at most, to the requirement to attribute and share-alike.. The Open Knowledge Definition (OKD) (opendefinition.org/okd)

80 2 kinds of openness Legal Openness Technical Openness

81 Make Data legally open Use existing licensing: Public Domain (no rights reserved) Public Domain Dedication & License (PDDL) Creative Commons Zero (CC0) Attribution (you must give credit) Open Data Commons Attribution (ODC-BY) Creative Commons Attribution (CC-BY) Sharealike (you must share back) Open Data Commons Attribution-Sharealike (ODbL) Creative Commons Attribution Sharealike (CC-BY-SA) Or create your own license

82 Make Data technically open Raw Data - separate informative content from presentation Use open formats (txt, XML, html, odt) use URIs for identification expose the data for access via the HTTP protocol use the RDF data model to describe content of resources and to link them to other useful information (Machine Readable METADATA)

83 RDF Data Model Provides the missing relational level simple data model based on triples Statements are <subject, predicate, object> triples: <Book X, hasauthor, Author Y> Can be represented as a graph: Book X hasauthor Statements describe properties of resources A resource is any object that can be pointed to by a URI: The subject of one statement can be the object of another A collection of statements creates a directed labeled graph Author Y Resources available distributed on the web

84 From a Web of Documents to a Web of Data Establish machine readable meaningful links among resources on the web of data just like hyperlinks connect html documents on the web of documents

85

86 Data as a Service DAAS Application Data API Application Data Cloud Data API Application Application Data API Application Application Data API

87 Linked Data Principles use URIs for identification of resources expose the data for access via the HTTP protocol use the RDF data model to describe content of resources and to link them (and make them linkable) to other useful information

88 Open Government Data

89 First steps in Europe Directive 2003/98/EC on the re-use of public sector information (PSI)

90 Motivations for open PSI Transparency Accountability Public control of government Engagement / participation / democracy More efficient use of public resources Economic value EUROPEAN PSI is estimated to worth 27 billion Added value on data (metadata) Apps/Services fed by publicly available data - new market

91 Public Legal Information: towards a Legal Data Cloud EU Legal Sources (mockup)

92 Legal Information Access Legal sources fragmentation To a worryingly large extent, statutory law is not practically accessible today, even to the courts whose constitutional duty it is to interpret and enforce it. There are four principal reasons. First, the majority of legislation is secondary legislation. Secondly, the volume of legislation has increased very greatly over the last 40 years Thirdly, on many subjects the legislation cannot be found in a single place, but in a patchwork of primary and secondary legislation. Fourthly, there is no comprehensive statute law database with hyperlinks which would enable an intelligent person, by using a search engine, to find out all the legislation on a particular topic. Lord Justice Toulson in R v Chambers [2008] EWCA Crim 2467 LINKED DATA PRINCIPLES / Open Standards

93 Legal Information Standards URN:Lex XML Schema (Metalex/CEN, Crown XML, NormeInRete, AkomaNtoso..) Legislative metadata model (FRBR+Metalex Cen+Dublin Core.. ) Legal Ontologies Core Legal Ontologies, LKIF Ready for reuse in a linked open data context Instantiate the annotation models with real Legal Documents Corpora

The Lois Project: Lexical Ontologies for Legal Information Sharing

The Lois Project: Lexical Ontologies for Legal Information Sharing The Lois Project: Lexical Ontologies for Legal Information Sharing Daniela Tiscornia Institute of Legal Information Theory and Techniques - Italian National Research Council Abstract. Semantic metadata

More information

Semantic Interoperability

Semantic Interoperability Ivan Herman Semantic Interoperability Olle Olsson Swedish W3C Office Swedish Institute of Computer Science (SICS) Stockholm Apr 27 2011 (2) Background Stockholm Apr 27, 2011 (2) Trends: from

More information

ONTOLOGIES A short tutorial with references to YAGO Cosmina CROITORU

ONTOLOGIES A short tutorial with references to YAGO Cosmina CROITORU ONTOLOGIES p. 1/40 ONTOLOGIES A short tutorial with references to YAGO Cosmina CROITORU Unlocking the Secrets of the Past: Text Mining for Historical Documents Blockseminar, 21.2.-11.3.2011 ONTOLOGIES

More information

Semantic Search in Portals using Ontologies

Semantic Search in Portals using Ontologies Semantic Search in Portals using Ontologies Wallace Anacleto Pinheiro Ana Maria de C. Moura Military Institute of Engineering - IME/RJ Department of Computer Engineering - Rio de Janeiro - Brazil [awallace,anamoura]@de9.ime.eb.br

More information

An Efficient Database Design for IndoWordNet Development Using Hybrid Approach

An Efficient Database Design for IndoWordNet Development Using Hybrid Approach An Efficient Database Design for IndoWordNet Development Using Hybrid Approach Venkatesh P rabhu 2 Shilpa Desai 1 Hanumant Redkar 1 N eha P rabhugaonkar 1 Apur va N agvenkar 1 Ramdas Karmali 1 (1) GOA

More information

Building the Multilingual Web of Data: A Hands-on tutorial (ISWC 2014, Riva del Garda - Italy)

Building the Multilingual Web of Data: A Hands-on tutorial (ISWC 2014, Riva del Garda - Italy) Building the Multilingual Web of Data: A Hands-on tutorial (ISWC 2014, Riva del Garda - Italy) Multilingual Word Sense Disambiguation and Entity Linking on the Web based on BabelNet Roberto Navigli, Tiziano

More information

A Semantic web approach for e-learning platforms

A Semantic web approach for e-learning platforms A Semantic web approach for e-learning platforms Miguel B. Alves 1 1 Laboratório de Sistemas de Informação, ESTG-IPVC 4900-348 Viana do Castelo. mba@estg.ipvc.pt Abstract. When lecturers publish contents

More information

A Software Tool for Thesauri Management, Browsing and Supporting Advanced Searches

A Software Tool for Thesauri Management, Browsing and Supporting Advanced Searches J. Nogueras-Iso, J.A. Bañares, J. Lacasta, J. Zarazaga-Soria 105 A Software Tool for Thesauri Management, Browsing and Supporting Advanced Searches J. Nogueras-Iso, J.A. Bañares, J. Lacasta, J. Zarazaga-Soria

More information

SEMANTIC VIDEO ANNOTATION IN E-LEARNING FRAMEWORK

SEMANTIC VIDEO ANNOTATION IN E-LEARNING FRAMEWORK SEMANTIC VIDEO ANNOTATION IN E-LEARNING FRAMEWORK Antonella Carbonaro, Rodolfo Ferrini Department of Computer Science University of Bologna Mura Anteo Zamboni 7, I-40127 Bologna, Italy Tel.: +39 0547 338830

More information

ONTOLOGY-BASED APPROACH TO DEVELOPMENT OF ADJUSTABLE KNOWLEDGE INTERNET PORTAL FOR SUPPORT OF RESEARCH ACTIVITIY

ONTOLOGY-BASED APPROACH TO DEVELOPMENT OF ADJUSTABLE KNOWLEDGE INTERNET PORTAL FOR SUPPORT OF RESEARCH ACTIVITIY ONTOLOGY-BASED APPROACH TO DEVELOPMENT OF ADJUSTABLE KNOWLEDGE INTERNET PORTAL FOR SUPPORT OF RESEARCH ACTIVITIY Yu. A. Zagorulko, O. I. Borovikova, S. V. Bulgakov, E. A. Sidorova 1 A.P.Ershov s Institute

More information

Using DEB Services for Knowledge Representation within the KYOTO Project

Using DEB Services for Knowledge Representation within the KYOTO Project Using DEB Services for Knowledge Representation within the KYOTO Project Aleš Horák and Adam Rambousek Faculty of Informatics, Masaryk University Botanická 68a, 602 00 Brno, Czech Republic {hales,xrambous}@fi.muni.cz

More information

AN OPEN KNOWLEDGE BASE FOR ITALIAN LANGUAGE IN A COLLABORATIVE PERSPECTIVE

AN OPEN KNOWLEDGE BASE FOR ITALIAN LANGUAGE IN A COLLABORATIVE PERSPECTIVE AN OPEN KNOWLEDGE BASE FOR ITALIAN LANGUAGE IN A COLLABORATIVE PERSPECTIVE Chiari I, A. Gangemi, E. Jezek, A. Oltramari, G. Vetere, L. Vieu http://www.sensocomune.it/ Sapienza Università di Roma Université

More information

DATA MODEL FOR STORAGE AND RETRIEVAL OF LEGISLATIVE DOCUMENTS IN DIGITAL LIBRARIES USING LINKED DATA

DATA MODEL FOR STORAGE AND RETRIEVAL OF LEGISLATIVE DOCUMENTS IN DIGITAL LIBRARIES USING LINKED DATA DATA MODEL FOR STORAGE AND RETRIEVAL OF LEGISLATIVE DOCUMENTS IN DIGITAL LIBRARIES USING LINKED DATA María Hallo 1, Sergio Luján-Mora 2, and Alejandro Mate 3 1 Department of Computer Science, National

More information

Secure Semantic Web Service Using SAML

Secure Semantic Web Service Using SAML Secure Semantic Web Service Using SAML JOO-YOUNG LEE and KI-YOUNG MOON Information Security Department Electronics and Telecommunications Research Institute 161 Gajeong-dong, Yuseong-gu, Daejeon KOREA

More information

SPC BOARD (COMMISSIONE DI COORDINAMENTO SPC) AN OVERVIEW OF THE ITALIAN GUIDELINES FOR SEMANTIC INTEROPERABILITY THROUGH LINKED OPEN DATA

SPC BOARD (COMMISSIONE DI COORDINAMENTO SPC) AN OVERVIEW OF THE ITALIAN GUIDELINES FOR SEMANTIC INTEROPERABILITY THROUGH LINKED OPEN DATA SPC BOARD (COMMISSIONE DI COORDINAMENTO SPC) AN OVERVIEW OF THE ITALIAN GUIDELINES FOR SEMANTIC INTEROPERABILITY THROUGH LINKED OPEN DATA INDEX EXECUTIVE SUMMARY... 3 1. PREFACE... 5 1.1. Acronyms... 5

More information

Information Technology for KM

Information Technology for KM On the Relations between Structural Case-Based Reasoning and Ontology-based Knowledge Management Ralph Bergmann & Martin Schaaf University of Hildesheim Data- and Knowledge Management Group www.dwm.uni-hildesheim.de

More information

Application of ontologies for the integration of network monitoring platforms

Application of ontologies for the integration of network monitoring platforms Application of ontologies for the integration of network monitoring platforms Jorge E. López de Vergara, Javier Aracil, Jesús Martínez, Alfredo Salvador, José Alberto Hernández Networking Research Group,

More information

Taxonomies for Auto-Tagging Unstructured Content. Heather Hedden Hedden Information Management Text Analytics World, Boston, MA October 1, 2013

Taxonomies for Auto-Tagging Unstructured Content. Heather Hedden Hedden Information Management Text Analytics World, Boston, MA October 1, 2013 Taxonomies for Auto-Tagging Unstructured Content Heather Hedden Hedden Information Management Text Analytics World, Boston, MA October 1, 2013 About Heather Hedden Independent taxonomy consultant, Hedden

More information

The Ontology and Architecture for an Academic Social Network

The Ontology and Architecture for an Academic Social Network www.ijcsi.org 22 The Ontology and Architecture for an Academic Social Network Moharram Challenger Computer Engineering Department, Islamic Azad University Shabestar Branch, Shabestar, East Azerbaijan,

More information

A Configurable Translation-Based Cross-Lingual Ontology Mapping System to adjust Mapping Outcome

A Configurable Translation-Based Cross-Lingual Ontology Mapping System to adjust Mapping Outcome A Configurable Translation-Based Cross-Lingual Ontology Mapping System to adjust Mapping Outcome Bo Fu *, Rob Brennan, Declan O Sullivan Knowledge and Data Engineering Group, School of Computer Science

More information

DISCOVERING RESUME INFORMATION USING LINKED DATA

DISCOVERING RESUME INFORMATION USING LINKED DATA DISCOVERING RESUME INFORMATION USING LINKED DATA Ujjal Marjit 1, Kumar Sharma 2 and Utpal Biswas 3 1 C.I.R.M, University Kalyani, Kalyani (West Bengal) India sic@klyuniv.ac.in 2 Department of Computer

More information

Why was it built? AGROVOC (big agriculture vocabulary developed by FAO) In 2004: >32 000 concepts in up to 22 languages

Why was it built? AGROVOC (big agriculture vocabulary developed by FAO) In 2004: >32 000 concepts in up to 22 languages VOCBENCH 2.0 A Collaborative Environment Web Application for the Development of Large Scale Thesauri and Concept Schemes Armando Stellato +, Sachit Rajbhandari*, Andrea Turbati +, Caterina Caracciolo*,

More information

LinksTo A Web2.0 System that Utilises Linked Data Principles to Link Related Resources Together

LinksTo A Web2.0 System that Utilises Linked Data Principles to Link Related Resources Together LinksTo A Web2.0 System that Utilises Linked Data Principles to Link Related Resources Together Owen Sacco 1 and Matthew Montebello 1, 1 University of Malta, Msida MSD 2080, Malta. {osac001, matthew.montebello}@um.edu.mt

More information

THE SEMANTIC WEB AND IT`S APPLICATIONS

THE SEMANTIC WEB AND IT`S APPLICATIONS 15-16 September 2011, BULGARIA 1 Proceedings of the International Conference on Information Technologies (InfoTech-2011) 15-16 September 2011, Bulgaria THE SEMANTIC WEB AND IT`S APPLICATIONS Dimitar Vuldzhev

More information

Comparing Ontology-based and Corpusbased Domain Annotations in WordNet.

Comparing Ontology-based and Corpusbased Domain Annotations in WordNet. Comparing Ontology-based and Corpusbased Domain Annotations in WordNet. A paper by: Bernardo Magnini Carlo Strapparava Giovanni Pezzulo Alfio Glozzo Presented by: rabee ali alshemali Motive. Domain information

More information

Revealing Trends and Insights in Online Hiring Market Using Linking Open Data Cloud: Active Hiring a Use Case Study

Revealing Trends and Insights in Online Hiring Market Using Linking Open Data Cloud: Active Hiring a Use Case Study Revealing Trends and Insights in Online Hiring Market Using Linking Open Data Cloud: Active Hiring a Use Case Study Amar-Djalil Mezaour 1, Julien Law-To 1, Robert Isele 3, Thomas Schandl 2, and Gerd Zechmeister

More information

Open Data Heterogeneity, Quality and Scale Presentation of the Open Data Research Group

Open Data Heterogeneity, Quality and Scale Presentation of the Open Data Research Group Open Data Heterogeneity, Quality and Scale Presentation of the Open Data Research Group Zohra Bellahsene, Anne Laurent, François Scharffe, Konstantin Todorov {firstname.lastname}@lirmm.fr LIRMM / UM2 November

More information

BUSINESS VALUE OF SEMANTIC TECHNOLOGY

BUSINESS VALUE OF SEMANTIC TECHNOLOGY BUSINESS VALUE OF SEMANTIC TECHNOLOGY Preliminary Findings Industry Advisory Council Emerging Technology (ET) SIG Information Sharing & Collaboration Committee July 15, 2005 Mills Davis Managing Director

More information

An Ontology Based Method to Solve Query Identifier Heterogeneity in Post- Genomic Clinical Trials

An Ontology Based Method to Solve Query Identifier Heterogeneity in Post- Genomic Clinical Trials ehealth Beyond the Horizon Get IT There S.K. Andersen et al. (Eds.) IOS Press, 2008 2008 Organizing Committee of MIE 2008. All rights reserved. 3 An Ontology Based Method to Solve Query Identifier Heterogeneity

More information

SmartLink: a Web-based editor and search environment for Linked Services

SmartLink: a Web-based editor and search environment for Linked Services SmartLink: a Web-based editor and search environment for Linked Services Stefan Dietze, Hong Qing Yu, Carlos Pedrinaci, Dong Liu, John Domingue Knowledge Media Institute, The Open University, MK7 6AA,

More information

CLOVA: An Architecture for Cross-Language Semantic Data Querying

CLOVA: An Architecture for Cross-Language Semantic Data Querying CLOVA: An Architecture for Cross-Language Semantic Data Querying John McCrae Semantic Computing Group, CITEC University of Bielefeld Bielefeld, Germany jmccrae@cit-ec.unibielefeld.de Jesús R. Campaña Department

More information

Introduction to SKOS. Bob DuCharme October 6, 2011

Introduction to SKOS. Bob DuCharme October 6, 2011 Introduction to SKOS Bob DuCharme October 6, 2011 Introductions Presentation and all its URLs: http://www.snee.com/skos/20111006/ Me: Solutions Architect at TopQuadrant; formerly XML, SGML guy at RIA,

More information

Appendix A: Inventory of enrichment efforts and tools initiated in the context of the Europeana Network

Appendix A: Inventory of enrichment efforts and tools initiated in the context of the Europeana Network 1/12 Task Force on Enrichment and Evaluation Appendix A: Inventory of enrichment efforts and tools initiated in the context of the Europeana 29/10/2015 Project Name Type of enrichments Tool for manual

More information

EXPLOITING FOLKSONOMIES AND ONTOLOGIES IN AN E-BUSINESS APPLICATION

EXPLOITING FOLKSONOMIES AND ONTOLOGIES IN AN E-BUSINESS APPLICATION EXPLOITING FOLKSONOMIES AND ONTOLOGIES IN AN E-BUSINESS APPLICATION Anna Goy and Diego Magro Dipartimento di Informatica, Università di Torino C. Svizzera, 185, I-10149 Italy ABSTRACT This paper proposes

More information

Building a Question Classifier for a TREC-Style Question Answering System

Building a Question Classifier for a TREC-Style Question Answering System Building a Question Classifier for a TREC-Style Question Answering System Richard May & Ari Steinberg Topic: Question Classification We define Question Classification (QC) here to be the task that, given

More information

Joint Steering Committee for Development of RDA

Joint Steering Committee for Development of RDA Page 1 of 11 To: From: Subject: Joint Steering Committee for Development of RDA Gordon Dunsire, Chair, JSC Technical Working Group RDA models for authority data Abstract This paper discusses the models

More information

Training Management System for Aircraft Engineering: indexing and retrieval of Corporate Learning Object

Training Management System for Aircraft Engineering: indexing and retrieval of Corporate Learning Object Training Management System for Aircraft Engineering: indexing and retrieval of Corporate Learning Object Anne Monceaux 1, Joanna Guss 1 1 EADS-CCR, Centreda 1, 4 Avenue Didier Daurat 31700 Blagnac France

More information

How semantic technology can help you do more with production data. Doing more with production data

How semantic technology can help you do more with production data. Doing more with production data How semantic technology can help you do more with production data Doing more with production data EPIM and Digital Energy Journal 2013-04-18 David Price, TopQuadrant London, UK dprice at topquadrant dot

More information

Publishing Linked Data Requires More than Just Using a Tool

Publishing Linked Data Requires More than Just Using a Tool Publishing Linked Data Requires More than Just Using a Tool G. Atemezing 1, F. Gandon 2, G. Kepeklian 3, F. Scharffe 4, R. Troncy 1, B. Vatant 5, S. Villata 2 1 EURECOM, 2 Inria, 3 Atos Origin, 4 LIRMM,

More information

The FAO Geopolitical Ontology: a reference for country-based information

The FAO Geopolitical Ontology: a reference for country-based information The FAO Geopolitical Ontology: a reference for country-based information Editor(s): Name Surname, University, Country Solicited review(s): Name Surname, University, Country Open review(s): Name Surname,

More information

ONTOLOGY-BASED MULTIMEDIA AUTHORING AND INTERFACING TOOLS 3 rd Hellenic Conference on Artificial Intelligence, Samos, Greece, 5-8 May 2004

ONTOLOGY-BASED MULTIMEDIA AUTHORING AND INTERFACING TOOLS 3 rd Hellenic Conference on Artificial Intelligence, Samos, Greece, 5-8 May 2004 ONTOLOGY-BASED MULTIMEDIA AUTHORING AND INTERFACING TOOLS 3 rd Hellenic Conference on Artificial Intelligence, Samos, Greece, 5-8 May 2004 By Aristomenis Macris (e-mail: arism@unipi.gr), University of

More information

New Generation of Social Networks Based on Semantic Web Technologies: the Importance of Social Data Portability

New Generation of Social Networks Based on Semantic Web Technologies: the Importance of Social Data Portability New Generation of Social Networks Based on Semantic Web Technologies: the Importance of Social Data Portability Liana Razmerita 1, Martynas Jusevičius 2, Rokas Firantas 2 Copenhagen Business School, Denmark

More information

Lightweight Data Integration using the WebComposition Data Grid Service

Lightweight Data Integration using the WebComposition Data Grid Service Lightweight Data Integration using the WebComposition Data Grid Service Ralph Sommermeier 1, Andreas Heil 2, Martin Gaedke 1 1 Chemnitz University of Technology, Faculty of Computer Science, Distributed

More information

Converging Web-Data and Database Data: Big - and Small Data via Linked Data

Converging Web-Data and Database Data: Big - and Small Data via Linked Data DBKDA/WEB Panel 2014, Chamonix, 24.04.2014 DBKDA/WEB Panel 2014, Chamonix, 24.04.2014 Reutlingen University Converging Web-Data and Database Data: Big - and Small Data via Linked Data Moderation: Fritz

More information

Annotation: An Approach for Building Semantic Web Library

Annotation: An Approach for Building Semantic Web Library Appl. Math. Inf. Sci. 6 No. 1 pp. 133-143 (2012) Applied Mathematics & Information Sciences @ 2012 NSP Natural Sciences Publishing Cor. Annotation: An Approach for Building Semantic Web Library Hadeel

More information

Semantic annotation of requirements for automatic UML class diagram generation

Semantic annotation of requirements for automatic UML class diagram generation www.ijcsi.org 259 Semantic annotation of requirements for automatic UML class diagram generation Soumaya Amdouni 1, Wahiba Ben Abdessalem Karaa 2 and Sondes Bouabid 3 1 University of tunis High Institute

More information

Natural Language Database Interface for the Community Based Monitoring System *

Natural Language Database Interface for the Community Based Monitoring System * Natural Language Database Interface for the Community Based Monitoring System * Krissanne Kaye Garcia, Ma. Angelica Lumain, Jose Antonio Wong, Jhovee Gerard Yap, Charibeth Cheng De La Salle University

More information

LDIF - Linked Data Integration Framework

LDIF - Linked Data Integration Framework LDIF - Linked Data Integration Framework Andreas Schultz 1, Andrea Matteini 2, Robert Isele 1, Christian Bizer 1, and Christian Becker 2 1. Web-based Systems Group, Freie Universität Berlin, Germany a.schultz@fu-berlin.de,

More information

City Data Pipeline. A System for Making Open Data Useful for Cities. stefan.bischof@tuwien.ac.at

City Data Pipeline. A System for Making Open Data Useful for Cities. stefan.bischof@tuwien.ac.at City Data Pipeline A System for Making Open Data Useful for Cities Stefan Bischof 1,2, Axel Polleres 1, and Simon Sperl 1 1 Siemens AG Österreich, Siemensstraße 90, 1211 Vienna, Austria {bischof.stefan,axel.polleres,simon.sperl}@siemens.com

More information

Achille Felicetti" VAST-LAB, PIN S.c.R.L., Università degli Studi di Firenze!

Achille Felicetti VAST-LAB, PIN S.c.R.L., Università degli Studi di Firenze! 3D-COFORM Mapping Tool! Achille Felicetti" VAST-LAB, PIN S.c.R.L., Università degli Studi di Firenze!! The 3D-COFORM Project! Work Package 6! Tools for the semi-automatic processing of legacy information!

More information

An Ontology Model for Organizing Information Resources Sharing on Personal Web

An Ontology Model for Organizing Information Resources Sharing on Personal Web An Ontology Model for Organizing Information Resources Sharing on Personal Web Istiadi 1, and Azhari SN 2 1 Department of Electrical Engineering, University of Widyagama Malang, Jalan Borobudur 35, Malang

More information

Collecting Polish German Parallel Corpora in the Internet

Collecting Polish German Parallel Corpora in the Internet Proceedings of the International Multiconference on ISSN 1896 7094 Computer Science and Information Technology, pp. 285 292 2007 PIPS Collecting Polish German Parallel Corpora in the Internet Monika Rosińska

More information

RDF Graph Database per Linked Data

RDF Graph Database per Linked Data RDF Graph Database per Linked Data Next Generation Open Data, come sfruttare l innovazione tecnologica per creare nuovi scenari e nuove opportunità. Giovanni.Corcione@Oracle.com 1 Copyright 2011, Oracle

More information

Reason-able View of Linked Data for Cultural Heritage

Reason-able View of Linked Data for Cultural Heritage Reason-able View of Linked Data for Cultural Heritage Mariana Damova 1, Dana Dannells 2 1 Ontotext, Tsarigradsko Chausse 135, Sofia 1784, Bulgaria 2 University of Gothenburg, Lennart Torstenssonsgatan

More information

Annotea and Semantic Web Supported Collaboration

Annotea and Semantic Web Supported Collaboration Annotea and Semantic Web Supported Collaboration Marja-Riitta Koivunen, Ph.D. Annotea project Abstract Like any other technology, the Semantic Web cannot succeed if the applications using it do not serve

More information

LME - Law Making Environment. Model driven semantic drafting and annotation of legislative sources

LME - Law Making Environment. Model driven semantic drafting and annotation of legislative sources Law Making Environment Model driven semantic drafting and annotation of legislative sources ITTIG-CNR http://www.ittig.cnr.it LME project http://nir.ittig.cnr.it/lme LME: CNR module Department/Dipartimento:

More information

Model Driven Interoperability through Semantic Annotations using SoaML and ODM

Model Driven Interoperability through Semantic Annotations using SoaML and ODM Model Driven Interoperability through Semantic Annotations using SoaML and ODM JiuCheng Xu*, ZhaoYang Bai*, Arne J.Berre*, Odd Christer Brovig** *SINTEF, Pb. 124 Blindern, NO-0314 Oslo, Norway (e-mail:

More information

Ontology and automatic code generation on modeling and simulation

Ontology and automatic code generation on modeling and simulation Ontology and automatic code generation on modeling and simulation Youcef Gheraibia Computing Department University Md Messadia Souk Ahras, 41000, Algeria youcef.gheraibia@gmail.com Abdelhabib Bourouis

More information

Linked Open Data Infrastructure for Public Sector Information: Example from Serbia

Linked Open Data Infrastructure for Public Sector Information: Example from Serbia Proceedings of the I-SEMANTICS 2012 Posters & Demonstrations Track, pp. 26-30, 2012. Copyright 2012 for the individual papers by the papers' authors. Copying permitted only for private and academic purposes.

More information

Ontology-Based Query Expansion Widget for Information Retrieval

Ontology-Based Query Expansion Widget for Information Retrieval Ontology-Based Query Expansion Widget for Information Retrieval Jouni Tuominen, Tomi Kauppinen, Kim Viljanen, and Eero Hyvönen Semantic Computing Research Group (SeCo) Helsinki University of Technology

More information

A HUMAN RESOURCE ONTOLOGY FOR RECRUITMENT PROCESS

A HUMAN RESOURCE ONTOLOGY FOR RECRUITMENT PROCESS A HUMAN RESOURCE ONTOLOGY FOR RECRUITMENT PROCESS Ionela MANIU Lucian Blaga University Sibiu, Romania Faculty of Sciences mocanionela@yahoo.com George MANIU Spiru Haret University Bucharest, Romania Faculty

More information

A practical approach to create ontology networks in e-health: The NeOn take

A practical approach to create ontology networks in e-health: The NeOn take A practical approach to create ontology networks in e-health: The NeOn take Tomás Pariente Lobo 1, *, Germán Herrero Cárcel 1, 1 A TOS Research and Innovation, ATOS Origin SAE, 28037 Madrid, Spain. Abstract.

More information

SemWeB Semantic Web Browser Improving Browsing Experience with Semantic and Personalized Information and Hyperlinks

SemWeB Semantic Web Browser Improving Browsing Experience with Semantic and Personalized Information and Hyperlinks SemWeB Semantic Web Browser Improving Browsing Experience with Semantic and Personalized Information and Hyperlinks Melike Şah, Wendy Hall and David C De Roure Intelligence, Agents and Multimedia Group,

More information

ONTOLOGY BASED FEEDBACK GENERATION IN DESIGN- ORIENTED E-LEARNING SYSTEMS

ONTOLOGY BASED FEEDBACK GENERATION IN DESIGN- ORIENTED E-LEARNING SYSTEMS ONTOLOGY BASED FEEDBACK GENERATION IN DESIGN- ORIENTED E-LEARNING SYSTEMS Harrie Passier and Johan Jeuring Faculty of Computer Science, Open University of the Netherlands Valkenburgerweg 177, 6419 AT Heerlen,

More information

Processing: current projects and research at the IXA Group

Processing: current projects and research at the IXA Group Natural Language Processing: current projects and research at the IXA Group IXA Research Group on NLP University of the Basque Country Xabier Artola Zubillaga Motivation A language that seeks to survive

More information

Annotation for the Semantic Web during Website Development

Annotation for the Semantic Web during Website Development Annotation for the Semantic Web during Website Development Peter Plessers, Olga De Troyer Vrije Universiteit Brussel, Department of Computer Science, WISE, Pleinlaan 2, 1050 Brussel, Belgium {Peter.Plessers,

More information

2QWRORJ\LQWHJUDWLRQLQDPXOWLOLQJXDOHUHWDLOV\VWHP

2QWRORJ\LQWHJUDWLRQLQDPXOWLOLQJXDOHUHWDLOV\VWHP 2QWRORJ\LQWHJUDWLRQLQDPXOWLOLQJXDOHUHWDLOV\VWHP 0DULD7HUHVD3$=,(1=$L$UPDQGR67(//$72L0LFKHOH9,1',*1,L $OH[DQGURV9$/$5$.26LL9DQJHOLV.$5.$/(76,6LL (i) Department of Computer Science, Systems and Management,

More information

A generic approach for data integration using RDF, OWL and XML

A generic approach for data integration using RDF, OWL and XML A generic approach for data integration using RDF, OWL and XML Miguel A. Macias-Garcia, Victor J. Sosa-Sosa, and Ivan Lopez-Arevalo Laboratory of Information Technology (LTI) CINVESTAV-TAMAULIPAS Km 6

More information

The Prolog Interface to the Unstructured Information Management Architecture

The Prolog Interface to the Unstructured Information Management Architecture The Prolog Interface to the Unstructured Information Management Architecture Paul Fodor 1, Adam Lally 2, David Ferrucci 2 1 Stony Brook University, Stony Brook, NY 11794, USA, pfodor@cs.sunysb.edu 2 IBM

More information

xmlegeseditor: an OpenSource Visual XML Editor for supporting Legal National Standards

xmlegeseditor: an OpenSource Visual XML Editor for supporting Legal National Standards xmlegeseditor: an OpenSource Visual XML Editor for supporting Legal National Standards Tommaso Agnoloni, Enrico Francesconi, Pierluigi Spinosa {agnoloni,francesconi,spinosa}@ittig.cnr.it Institute of Legal

More information

Using LSI for Implementing Document Management Systems Turning unstructured data from a liability to an asset.

Using LSI for Implementing Document Management Systems Turning unstructured data from a liability to an asset. White Paper Using LSI for Implementing Document Management Systems Turning unstructured data from a liability to an asset. Using LSI for Implementing Document Management Systems By Mike Harrison, Director,

More information

An Open Platform for Collecting Domain Specific Web Pages and Extracting Information from Them

An Open Platform for Collecting Domain Specific Web Pages and Extracting Information from Them An Open Platform for Collecting Domain Specific Web Pages and Extracting Information from Them Vangelis Karkaletsis and Constantine D. Spyropoulos NCSR Demokritos, Institute of Informatics & Telecommunications,

More information

MIRACLE at VideoCLEF 2008: Classification of Multilingual Speech Transcripts

MIRACLE at VideoCLEF 2008: Classification of Multilingual Speech Transcripts MIRACLE at VideoCLEF 2008: Classification of Multilingual Speech Transcripts Julio Villena-Román 1,3, Sara Lana-Serrano 2,3 1 Universidad Carlos III de Madrid 2 Universidad Politécnica de Madrid 3 DAEDALUS

More information

Learning and Verification of Legal Ontologies by Means of Conceptual Analysis

Learning and Verification of Legal Ontologies by Means of Conceptual Analysis Learning and Verification of Legal Ontologies by Means of Conceptual Analysis Erich Schweighofer Centre for Computers and Law DEICL/AVR, Faculty of Law, University of Vienna Schottenbastei 10-16/2/5, 1010

More information

Semantic Knowledge Management System. Paripati Lohith Kumar. School of Information Technology

Semantic Knowledge Management System. Paripati Lohith Kumar. School of Information Technology Semantic Knowledge Management System Paripati Lohith Kumar School of Information Technology Vellore Institute of Technology University, Vellore, India. plohithkumar@hotmail.com Abstract The scholarly activities

More information

Overview of MT techniques. Malek Boualem (FT)

Overview of MT techniques. Malek Boualem (FT) Overview of MT techniques Malek Boualem (FT) This section presents an standard overview of general aspects related to machine translation with a description of different techniques: bilingual, transfer,

More information

TECHNICAL Reports. Discovering Links for Metadata Enrichment on Computer Science Papers. Johann Schaible, Philipp Mayr

TECHNICAL Reports. Discovering Links for Metadata Enrichment on Computer Science Papers. Johann Schaible, Philipp Mayr TECHNICAL Reports 2012 10 Discovering Links for Metadata Enrichment on Computer Science Papers Johann Schaible, Philipp Mayr kölkölölk GESIS-Technical Reports 2012 10 Discovering Links for Metadata Enrichment

More information

Data-Gov Wiki: Towards Linked Government Data

Data-Gov Wiki: Towards Linked Government Data Data-Gov Wiki: Towards Linked Government Data Li Ding 1, Dominic DiFranzo 1, Sarah Magidson 2, Deborah L. McGuinness 1, and Jim Hendler 1 1 Tetherless World Constellation Rensselaer Polytechnic Institute

More information

Encoding Library of Congress Subject Headings in SKOS: Authority Control for the Semantic Web

Encoding Library of Congress Subject Headings in SKOS: Authority Control for the Semantic Web Encoding Library of Congress Subject Headings in SKOS: Authority Control for the Semantic Web Corey A Harper University of Oregon Libraries Tel: +1 541 346 1854 Fax:+1 541 346 3485 charper@uoregon.edu

More information

A GENERALIZED APPROACH TO CONTENT CREATION USING KNOWLEDGE BASE SYSTEMS

A GENERALIZED APPROACH TO CONTENT CREATION USING KNOWLEDGE BASE SYSTEMS A GENERALIZED APPROACH TO CONTENT CREATION USING KNOWLEDGE BASE SYSTEMS By K S Chudamani and H C Nagarathna JRD Tata Memorial Library IISc, Bangalore-12 ABSTRACT: Library and information Institutions and

More information

Bridging CAQDAS with text mining: Text analyst s toolbox for Big Data: Science in the Media Project

Bridging CAQDAS with text mining: Text analyst s toolbox for Big Data: Science in the Media Project Bridging CAQDAS with text mining: Text analyst s toolbox for Big Data: Science in the Media Project Ahmet Suerdem Istanbul Bilgi University; LSE Methodology Dept. Science in the media project is funded

More information

Mapping a Traditional Dialectal Dictionary with Linked Open Data

Mapping a Traditional Dialectal Dictionary with Linked Open Data Mapping a Traditional Dialectal Dictionary with Linked Open Data Eveline Wandl-Vogt 1, Thierry Declerck 1,2 1 Institute for Corpus Linguistics and Text Technology, Austrian Academy of Sciences Sonnenfelsgasse

More information

ONTODESIGN; A DOMAIN ONTOLOGY FOR BUILDING AND EXPLOITING PROJECT MEMORIES IN PRODUCT DESIGN PROJECTS

ONTODESIGN; A DOMAIN ONTOLOGY FOR BUILDING AND EXPLOITING PROJECT MEMORIES IN PRODUCT DESIGN PROJECTS ONTODESIGN; A DOMAIN ONTOLOGY FOR BUILDING AND EXPLOITING PROJECT MEMORIES IN PRODUCT DESIGN PROJECTS DAVY MONTICOLO Zurfluh-Feller Company 25150 Belfort France VINCENT HILAIRE SeT Laboratory, University

More information

Semantic Modeling with RDF. DBTech ExtWorkshop on Database Modeling and Semantic Modeling Lili Aunimo

Semantic Modeling with RDF. DBTech ExtWorkshop on Database Modeling and Semantic Modeling Lili Aunimo DBTech ExtWorkshop on Database Modeling and Semantic Modeling Lili Aunimo Expected Outcomes You will learn: Basic concepts related to ontologies Semantic model Semantic web Basic features of RDF and RDF

More information

The Role of Law in Software Requirements Engineering

The Role of Law in Software Requirements Engineering The Role of Law in Software Requirements Engineering Paul Otto Advisor: Annie Antón CSC 890 Written Qualifier Exam Why should computer scientists study the law? Regulatory compliance is the primary driver

More information

RDFa in Drupal: Bringing Cheese to the Web of Data

RDFa in Drupal: Bringing Cheese to the Web of Data RDFa in Drupal: Bringing Cheese to the Web of Data Stéphane Corlosquet, Richard Cyganiak, Axel Polleres and Stefan Decker Digital Enterprise Research Institute National University of Ireland, Galway Galway,

More information

A Tool for Searching the Semantic Web for Supplies Matching Demands

A Tool for Searching the Semantic Web for Supplies Matching Demands A Tool for Searching the Semantic Web for Supplies Matching Demands Zuzana Halanová, Pavol Návrat, Viera Rozinajová Abstract: We propose a model of searching semantic web that allows incorporating data

More information

Ontologies for elearning

Ontologies for elearning Chapter 4 Applications and Impacts Ontologies for elearning B.Polakowski and K.Amborski Institute of Control and Industrial Electronics, Warsaw University of Technology. Warsaw, Poland e-mail: polakpl@yahoo.com,

More information

int.ere.st: Building a Tag Sharing Service with the SCOT Ontology

int.ere.st: Building a Tag Sharing Service with the SCOT Ontology int.ere.st: Building a Tag Sharing Service with the SCOT Ontology HakLae Kim, John G. Breslin Digital Enterprise Research Institute National University of Ireland, Galway IDA Business Park, Lower Dangan

More information

Exploiting Comparable Corpora and Bilingual Dictionaries. the Cross Language Text Categorization

Exploiting Comparable Corpora and Bilingual Dictionaries. the Cross Language Text Categorization Exploiting Comparable Corpora and Bilingual Dictionaries for Cross-Language Text Categorization Alfio Gliozzo and Carlo Strapparava ITC-Irst via Sommarive, I-38050, Trento, ITALY {gliozzo,strappa}@itc.it

More information

HOW TO MAKE SENSE OF BIG DATA TO BETTER DRIVE BUSINESS PROCESSES, IMPROVE DECISION-MAKING, AND SUCCESSFULLY COMPETE IN TODAY S MARKETS.

HOW TO MAKE SENSE OF BIG DATA TO BETTER DRIVE BUSINESS PROCESSES, IMPROVE DECISION-MAKING, AND SUCCESSFULLY COMPETE IN TODAY S MARKETS. HOW TO MAKE SENSE OF BIG DATA TO BETTER DRIVE BUSINESS PROCESSES, IMPROVE DECISION-MAKING, AND SUCCESSFULLY COMPETE IN TODAY S MARKETS. ALTILIA turns Big Data into Smart Data and enables businesses to

More information

Facilitating Business Process Discovery using Email Analysis

Facilitating Business Process Discovery using Email Analysis Facilitating Business Process Discovery using Email Analysis Matin Mavaddat Matin.Mavaddat@live.uwe.ac.uk Stewart Green Stewart.Green Ian Beeson Ian.Beeson Jin Sa Jin.Sa Abstract Extracting business process

More information

Component visualization methods for large legacy software in C/C++

Component visualization methods for large legacy software in C/C++ Annales Mathematicae et Informaticae 44 (2015) pp. 23 33 http://ami.ektf.hu Component visualization methods for large legacy software in C/C++ Máté Cserép a, Dániel Krupp b a Eötvös Loránd University mcserep@caesar.elte.hu

More information

Selecting a Taxonomy Management Tool. Wendi Pohs InfoClear Consulting #SLATaxo

Selecting a Taxonomy Management Tool. Wendi Pohs InfoClear Consulting #SLATaxo Selecting a Taxonomy Management Tool Wendi Pohs InfoClear Consulting #SLATaxo InfoClear Consulting What do we do? Content Analytics Strategy and Implementation, including: Taxonomy/Ontology development

More information

Chapter 8 The Enhanced Entity- Relationship (EER) Model

Chapter 8 The Enhanced Entity- Relationship (EER) Model Chapter 8 The Enhanced Entity- Relationship (EER) Model Copyright 2011 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 8 Outline Subclasses, Superclasses, and Inheritance Specialization

More information

Interchanging lexical resources on the Semantic Web

Interchanging lexical resources on the Semantic Web Interchanging lexical resources on the Semantic Web John McCrae, Guadalupe Aguado-de- Cea, Paul Buitelaar, Philipp Cimiano, Thierry Declerck, Asunción Gómez- Pérez, Jorge Gracia, Laura Hollink, et al.

More information

Performance Analysis, Data Sharing, Tools Integration: New Approach based on Ontology

Performance Analysis, Data Sharing, Tools Integration: New Approach based on Ontology Performance Analysis, Data Sharing, Tools Integration: New Approach based on Ontology Hong-Linh Truong Institute for Software Science, University of Vienna, Austria truong@par.univie.ac.at Thomas Fahringer

More information

Fraunhofer FOKUS. Fraunhofer Institute for Open Communication Systems Kaiserin-Augusta-Allee 31 10589 Berlin, Germany. www.fokus.fraunhofer.

Fraunhofer FOKUS. Fraunhofer Institute for Open Communication Systems Kaiserin-Augusta-Allee 31 10589 Berlin, Germany. www.fokus.fraunhofer. Fraunhofer Institute for Open Communication Systems Kaiserin-Augusta-Allee 31 10589 Berlin, Germany www.fokus.fraunhofer.de 1 Identification and Utilization of Components for a linked Open Data Platform

More information

CIRGIRDISCO at RepLab2014 Reputation Dimension Task: Using Wikipedia Graph Structure for Classifying the Reputation Dimension of a Tweet

CIRGIRDISCO at RepLab2014 Reputation Dimension Task: Using Wikipedia Graph Structure for Classifying the Reputation Dimension of a Tweet CIRGIRDISCO at RepLab2014 Reputation Dimension Task: Using Wikipedia Graph Structure for Classifying the Reputation Dimension of a Tweet Muhammad Atif Qureshi 1,2, Arjumand Younus 1,2, Colm O Riordan 1,

More information

Multilingual and Localization Support for Ontologies

Multilingual and Localization Support for Ontologies Multilingual and Localization Support for Ontologies Mauricio Espinoza, Asunción Gómez-Pérez and Elena Montiel-Ponsoda UPM, Laboratorio de Inteligencia Artificial, 28660 Boadilla del Monte, Spain {jespinoza,

More information