Publishing Linked Data There is no One-Size-Fits-All Formula

Transcription

1 Publishing Linked Data There is no One-Size-Fits-All Formula Asunción Gómez-Pérez Facultad de Informática, Universidad Politécnica de Madrid Campus de Montegancedo sn, Boadilla del Monte, Madrid Acknowledgements: O.Corcho, D. Garijo, D. Vila, L.Vilches, B. Villazón Our partners at: BNE, IGN, Work distributed under the license Creative Commons Attribution-Noncommercial-Share Alike 3.0 LOV SYMPOSIUM: LINKING AND OPENING VOCABULARIES. 18th June, 2012

2 Table of content 1. The concept 2. Foundations 3. The process 4. Examples Libraries: Geo: Metereology: Travelling: 2

3 Complex queries using data from heterogeneous Web pages Cervantes enthusiast from Germany visiting Madrid and willing to know more about Cervantes work and life *Picture attribution: 3

4 BD BNE BD VIAF BD AEMET BD IGN BD Prisa BD DBpedia Data Integration BNE Ubicado en Alcalá de Henares 1605 El Quijote Año de Publicación Autor birthplace Same as M. Cervantes M. Cervantes Alcalá de Henares M. Cervantes Year of publication creator Don Quixote 1960 Translated into Hebrew VIAF located Alcalá de Henares guía Tapas Siglo de Oro Alcalá de Henares Temperatura 20º 4

5 Table of content 1. The concept 2. Foundations 3. The process 4. Examples Libraries: Geo: Metereology: Travelling: 5

6 Linked Data: why it is important? Facilitate data integration From heterogeous sources In different formats Different granularity In different languages From different countries Slide adapted from 5min Introduction to Linked Data - Olaf Hartig

7 (S) models Unique identifiers: URI identify or name a resource Foundations Equivalence links to other datasets Same As Data navigation Person Is creator of Cer Work Is a Is a Cervantes Is creator of Cer El Quijote Same As Same As Cervantes Cervantes

8 Aligning Models with Owl EquivalentClass Person Foundations EquivalentClass Person birthplace Person Municipality EquivalentClass Municipio Is a Is a Alcalá de Henares Same As Alcalá de Henares de Henares Lessons learnt 1. Reuse existing models 2. Align the data and the concepts.

9 Table of content 1. The concept 2. Foundations 3. The process 4. Examples 9

10 Methodology Data sources analysis URI Design License definition Reunión bilateral CNIG OEG Proyecto OTALEX 10

11 Identification and selection of data sources Geographical Spanish Institute Statistical Spanish Institute Spanish National Libraries Metereological Office (AEMET) 11

12 1. Identification and selection of the data sources Geographic Spanish Institute Multilingual (Spanish, Vasc, Gallician, Catalan) Conceptualization mistmatches Granularity (scale concept) Domain vocabulary Inform. hidrográfica. Embalse, albufera, río, etc. Transportes. Vía desdoblada, Ferrocarril, Unidades Administrativas. Municipio. Particularaties Longitude and latitude Statistic Spanish Institute Monolingual Numerical information Particularaties Geo (textual level) and Temporal 12

13 1. Identification and selection of the data sources: Geographical information IGN-E

14 1. Identification and selection of the data sources Statistical information 14

15 Records in the MARC 21 format 3.9 million bibliographical records 4.2 million authority records Version: November,

16 URI design Meaningful URIs versus Opaque URIs Separate TBox (ontology model) from ABox Base URI OntologyTBox URIs) property} We use the Data Cube Vocabulary and/or other vocabularies Data (ABox URIs) type}/{resource name} 16

17 Ontology Ontologies: A set of terms A set of explicit assumptions regarding the intended meaning of the terms. Almost always including concepts and their classification Almost always including properties between concepts Shared understanding of a domain of interest Ontologies expressed in OWL or (S), both based on The NeOn methodology helps to build ontologies 18

18 2. Vocabulary development Features Lightweight : Taxonomies and a few properties Consensuated vocabularies To avoid the mapping problems Multilingual Linked data are multilingual The NeOn methodology can help to Re-enginer Non ontological resources into ontologie Pros: use domain terminology already consensuated by domain experts Withdraw in heavyweight ontologies those features that you don t need Reuse existing vocabularies 19

19 The Ontology for BNE: based on IFLA vocabularies

20 Geolinkeddata ontology hydrographical phenomena (rivers, lakes, etc.) haslat/long W3C Vocabulary WGS84 4 WGS84 Geo Positioning: an vocabulary haslat/long hasstatisticaldata O. Statistics SCOVO scv:dimension scv:item scv:dataset UNESCO EGM / ERM GeoNames hydrontology 4 Ontology for OGC Geography Markup Language hasgeometry haslocation/islocated GML 4 GML hasgeometry FAO FAO Geopolitical ontology on Names and international code systems for territories and groups O. Time W3C Time Ontology Legend Vocabulary for instants, intervals, durations, etc. 4 Classes Object Properties Data Properties Thesaurus reused Following the INSPIRE (INfrastructure for SPatial InfoRmation in Europe) recommendation. hydrontology,scovo, FAO Geopolitcal, WGS84, GML, and Time

21 3. of BNE From the Data sources Geographic information (Databases) Statistic information (.xsl) Geospatial information Biobliographic information (MARC 21) Different technologies for generation NOR20 (from excell, XML, text files, ) R20 and ODEMapster (from Databases) Geometry2 and SPh2 (for Geo data) Marimba for Libraries

22 Libraries: Marimba uses the ontology to generate BNE

23 Marimba links with other resources: VIAF, DNB, SUDOC, LIBRIS, DBpedia BNE

24 Marimba links with other resources: VIAF, DNB, SUDOC, LIBRIS, DBpedia DNB VIAF Same As Same As Same As DBpedia Same As BNE Same As SUDOC LIBRIS

25 Publicación Data publication Metadata publicacion using VOID To facilitate the discovery Register in CKAN your dataset Use to sitemap4rdf to generate the site map Upload the site map to Google and Sindice

26 Especification Web Interface generation SPARQL queries select distinct COUNT(?Obras) where { URI Cervantes Is author < }

27 Table of content 1. The concept 2. Foundations 3. The process 4. Examples Libraries: Geo: Metereology: Travelling: 29

28 Estacion MADRID,RETIRO 21 :40 26/5/201 1 Djr media del viento: 276 grados Recorrido del viento: 13 Hm V el. media del viento: 2.2 nnls l!ti l.ü!!l.rul.-ª!!ti 1 semana O ir. de la v. max. del viento 251 grados l!ti l.ü!!l.rul.-ª Temperatura del aire 18.5 grados C. l!ti l.ü!!l.rul.-ª Humedad relativa: 75 % l!ti l.ü!!l.rul.-ª Sanuago Composle Pon!evedr ogo L p Temp. del pto. de rocio: 13.9 grados C. Vel max del viento 4. 7 mis Precjpjtacjon: O litros/m2 ~ h Pa l!ti l.ü!!l.rul.-ª l!ti l.nm.20.2 l!ti l.nm.20.2 Pres. reducida al nivel del mar hpa!!ti 1.ü!!l.rul.-ª Brog11 O CIIev.. 0 o Fofe Porto 0 O Pore<IH o Sln!e Mono da Fe,.,..,'l:'. Nantes o,._ Tours 0 o DV10m on MADRID,RETIRO Capas El Viajero Filtr porf" ch" No hay fotos disponibes o Las chicas de Artón Martfn o Reflejos versalle~cos en 8 Jn paseo por Madrid - o Visitando El E scorial..:.. O <luo<do 0 OCovllhl _,?.,...- PombJI O COmtwl LOV-HIVE (e) d::~e!. Symposium. 18th June

29 There is no One-Size-Fits-All Formula Phase BNE IGN AEMET PRISA INE Modeling DC hydrontology Wgs84 time SSN ontology SIOC Scovo Data cube generation MARiMbA geometry2rdf NOR2O CSV parser CSV parser NOR2O generation DNB VIAF LIBRIS DBPEDIA Silk Silk Silk DBPEDIA DBPEDIA Geolinkeddata.es Geonames Geolinkeddata.es NOR2O Geolinkeddata.es Pubby sitemap4rdf map4rdf SPARQL 31

30 URI Follow existing design guidelines for new URIs Reuse existing URIs from authoritative sources Models Reuse existing models when available Create new models from authoritative sources Do not forget to align your model with existing models Link Vertical domains usually require specific tools for generation Generic link discovery tools performs well in vertical domains Link to other data sets using Discovery Equivalence links (sameas) Typed links bne:cervantes Person Use sitemap4rdf to allow search engines to find your data Use an iterative-incremental life cycle in your development Lessons learnt Learn about Linked Data with UPM official courses in one week sameas birthplace Dbpedia:cervantes Municipality 32

31 Publishing Linked Data There is no One-Size-Fits-All Formula Asunción Gómez-Pérez Facultad de Informática, Universidad Politécnica de Madrid Campus de Montegancedo sn, Boadilla del Monte, Madrid Acknowledgements: O.Corcho, D. Garijo, D. Vila, L.Vilches, B. Villazón Our partners at: BNE, IGN, Work distributed under the license Creative Commons Attribution-Noncommercial-Share Alike 3.0 LOV SYMPOSIUM: LINKING AND OPENING VOCABULARIES. 18th June, 2012