How To Create A Federation Of A Federation In A Microsoft Microsoft System (R)
|
|
- Clementine Carter
- 3 years ago
- Views:
Transcription
1 Fed4FIRE / Open-Multinet Resource Description Playground Alexander Willner Overview
2 Overall Goal Federated Infrastructure Description and Discovery Language (FIDDLE)
3 Context Assumptions and applicability of this work
4 Assumptions and Applicability Concentrate on Future Internet Testbed Federations Federated Testbeds Federated Clouds Federated Smart Cities Federated Big Data Seite 4
5 Assumptions and Applicability Generalized High Level Overview and Stakeholders access resource (R) provides user domain domain domain domain owner runs federation operator Seite 5
6 Assumptions and Applicability Interoperability on Interface Level (SFA, FRCP, OMSP, ) researcher experiment Interface(s) federation Seite 6
7 Assumptions and Applicability Generalized Resource / Service Life-Cycle Discovery Requirements Reservation Provisioning Monitoring Experiment Termination R/S Information Model R/S Selection Description R/S Scheduling Model Direct or Orchestrated Instantiation R/S or Experiment Measurement Automated / Manual R/S Usage Data Storage and R/S Release Identity Management Authorization SLA Management Seite 7
8 Assumptions and Applicability Interoperability on the Information Model Level Discovery Requirements Reservation Provisioning Monitoring Experiment Termination R/S Information Model R/S Selection Description R/S Scheduling Model Direct or Orchestrated Instantiation R/S or Experiment Measurement Automated / Manual R/S Usage Data Storage and R/S Release Identity Management Authorization SLA Management Seite 8
9 Assumptions and Applicability Involves every step of the Life-Cycle Discovery Requirements Reservation Provisioning Monitoring Experiment Termination R/S Information Model R/S Selection Description R/S Scheduling Model Direct or Orchestrated Instantiation R/S or Experiment Measurement Automated / Manual R/S Usage Data Storage and R/S Release Identity Management Authorization SLA Management Seite 9
10 Assumptions and Applicability Generalized Approach Overview RSpec s, GLUE, NML, INDL, NDL-OWL, NOVI, related work requirements Discovery Requirements Reservation Provisioning Monitoring Experiment Termination R/S R/S R/S Direct or R/S or Automated / Data Storage Information Selection Scheduling Orchestrated Experiment Manual R/S and R/S Model Description Model Instantiation Measurement Usage Release Identity Management Authorization SLA Management evaluation defines upper ontology s/w integration concepts Seite 10
11 Current Situation XML Schema based modeling of information
12 Current Situation XML Schema based Data Model ((todo: concentrate on the RSpec Schema show comparable approaches such as the GLUE Schema)) Seite 12
13 What is Wrong? From a testbed owner, federation operator and user perspective
14 What s Wrong? Tree Data Model and XML Serialization ((todo: drawbacks of XML Schema; issues from user, owner and federation perspective)) Seite 14
15 How should it be? Connected RDF-based graphs for each step in the life-cycle
16 How should it be? Adopt Graph-based Approaches ((todo: advantages of RDF, RDFS, OWL, Reasoning, SPARQL, SWRL, )) Seite 16
17 How should it be? Graphical Interactive Example Seite 17
18 Current Proposal Open-Multinet Ontology based on existing work
19 Current Proposal Federation Meta-Data access resource (R) provides user domain domain domain domain owner runs federation operator Seite 19
20 Current Proposal Federation Meta-Data Concept nml:group rdfs:subclassof omn:federation rdf:type Fed4FIRE Summary: Description of the federation. Assumption: A federation is a specialized group. Classes: omn:federation Properties: none Typical Extensions: rdfs:label Fed4FIRE rdfs:comment This is foaf:depiction <url to logo> foaf:homepage <url to home> foaf:mbox <url to mail> Seite 20
21 Current Proposal Testbed Meta-Data access resource (R) provides user domain domain domain domain owner runs federation operator Seite 21
22 Current Proposal Testbed Meta-Data Concept nml:group rdfs:subclassof omn:partofgroup omn:groupcontains Summary: Description of a testbed. Assumption: A testbed is a specialized group and part of 0 n federations. Classes: omn:testbed xipi:testbed rdf:type rdf:type FUSECO Playground omn:partofgroup Fed4FIRE Seite 22 omn:testbed Properties: omn:partofgroup omn:groupcontains (inverse) Typical Extensions: rdfs:label FUSECO Playground rdfs:comment This is foaf:depiction <url to logo> foaf:homepage <url to home> foaf:mbox <url to mail> foaf:based_near geo:point
23 Current Proposal Testbed Meta-Data API s Summary: Testbeds should define endpoints. Assumption: A testbed offers FUSECO Playground omn:partofgroup Fed4FIRE multiple API s. Classes: omn:groupcontains omn:api AM rdf:type sfa:aggregatemnager omn:endpoint omn:version rdfs:subclassof <url> <version> omn:api Seite 23 sfa:aggregatemanager Properties: omn:endpoint omn:version Other examples: FRCP XMPP ID FI PPP GE X, Y, Z Teagle PTM OMSP Server
24 Current Proposal Testbed Meta-Data Integration into SFA { } Seite 24 'geni_allocate': 'geni_many', 'geni_api': 3, 'geni_single_allocation': 0, 'hostname': 'localhost', 'hrn': 'localhost', 'peers': { }, 'urn': 'urn:publicid: 'f4f_describe_testbed': text', 'f4f_endorsed_tools': [ { 'tool_homepage': text, ], tool_logo : url`} 'f4f_testbed_homepage': url', 'f4f_testbed_picture': url', Summary: Integration into SFA by extending the getversion result type. Assumption: Fed4FIRE extensions follow a similar approach. No security implications. Offering this data over other interfaces such as a SPARQL endpoint or within FRCP should be possible. Approach: JSON-LD serialized metadata of a testbed.
25 Current Proposal Resource Discovery access resource (R) provides user domain domain domain domain owner runs federation operator Seite 25
26 Current Proposal Resource Discovery Concept sfa:message rdfs:subclassof sfa:advertisement Summary: Message types are identified by an individual of a specific type. Assumption: This is needed for SFA clients to know the type of the answer. sfa:expires rdf:type Message sfa:generated Classes: sfa:message and subclasses Properties: sfa:expires and others Typical Extensions: none <datetime> <datetime> Seite 26
27 Current Proposal Resource Discovery Concept 5GFeasibilityAnalysis rdf:type fantaastic: FeasibilityAnalysis rdfs:subclassof fantaastic: ConsultingService rdfs:subclassof omn:partofgroup FUSECO Playground omn:partofgroup VMServer1 rdf:type mosaic:computational rdfs:subclassof nml:node omn:instantiates indl:virtualnode Summary: Resource instances are part of a testbed. They can instantiate resources (sliver). Assumption: Using NML and INDL as the main references. Classes: none Properties: omn:instantiates Typical Extensions: domain specific nml:service Seite 27
28 Current Proposal Resource Discovery Integration into SFA <?xml version="1.0" encoding="utf-8"?> <rdf:rdf xmlns:foaf=" xmlns:sfa=" xmlns:omn=" xmlns:owl=" xmlns:rdf=" xmlns:rdfs=" > <rdf:description rdf:about=" ontology#message"> <rdf:type rdf:resource=" ontology#advertisement"/> <sfa:expires rdf:datatype= Summary: Integration into SFA by filling the listresources result. Assumption: Returning any kind of XML-based data is fine. Approach: RDF/XML serialized data of testbed resources and services. Seite 28
29 Current Proposal Resource Reservation (SFA allocate) nml:group rdfs:subclassof omn:partofgroup novi:haslifetime Summary: Integration into SFA by defining NOVI reservation groups in the allocate call. Assumption: The NOVI reservation ontology is sophisticated enough. novi:reservation novi:haslifetime novi:lifetime Seite 29
30 Current Proposal Resource Instantiation (SFA provision) rdf:type :boundvm nml:implementedby Summary: Integration into SFA by defining resource instances of specific types. Assumption: Can be bound or unbound requests. indl:virtualnode fp:vmserver1 :unboundvm rdf:type indl:virtualnode Seite 30
31 Current Proposal Resource Monitoring (SFA describe or as OMSP stream) Summary: Integration into SFA by attaching monitoring specific graphs to existing resource instances (within listresources or describe). Another approach: serialize RDF graph as OMSP stream. Seite 31
32 Current Proposal Resource Control (FRCP related) Summary: Integration into FRCP by using the very same information used within SFA also to describe / control FRCP controlled resources. Seite 32
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 informationLINKED DATA EXPERIENCE AT MACMILLAN Building discovery services for scientific and scholarly content on top of a semantic data model
LINKED DATA EXPERIENCE AT MACMILLAN Building discovery services for scientific and scholarly content on top of a semantic data model 22 October 2014 Tony Hammond Michele Pasin Background About Macmillan
More informationRDF Resource Description Framework
RDF Resource Description Framework Fulvio Corno, Laura Farinetti Politecnico di Torino Dipartimento di Automatica e Informatica e-lite Research Group http://elite.polito.it Outline RDF Design objectives
More informationdcml Data Center Markup Language Data Center Markup Language Framework Specification
dcml Data Center Markup Language Data Center Markup Language Framework Specification Draft Version 0.11 May 5, 2004, 2004 Change History Version Date Notes version 0.1 November 9, 2003 Initial draft version
More informationCreating and Managing Controlled Vocabularies for Use in Metadata
Creating and Managing Controlled Vocabularies for Use in Metadata Tutorial 4 DC2004, Shanghai Library 14 October 2004 Stuart A. Sutton & Joseph T. Tennis Information School of the University of Washington,
More informationStandardontologie für Wissensmanagement
Projektergebnis Standardontologie für Wissensmanagement im SW-Engineering Projektidentifikation: Ergebnis ID: Arbeitspaket(e): Autor(en): Koordinator: WAVES Wissensaustausch bei der verteilten Entwicklung
More informationCore Enterprise Services, SOA, and Semantic Technologies: Supporting Semantic Interoperability
Core Enterprise, SOA, and Semantic Technologies: Supporting Semantic Interoperability in a Network-Enabled Environment 2011 SOA & Semantic Technology Symposium 13-14 July 2011 Sven E. Kuehne sven.kuehne@nc3a.nato.int
More informationSmart Cyber Infrastructure for Big Data processing
Smart Cyber Infrastructure for Big Data processing Dr. Paola Grosso Email: p.grosso@uva.nl URL: http://staff.science.uva.nl/~grosso Addressing Big Data Issues in Scientific Data Infrastructure Y. Demchenko,
More informationBUSINESS 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 informationSemantic Web Success Story
Semantic Web Success Story Practical Integration of Semantic Web Technology Chris Chaulk, Software Architect EMC Corporation 1 Who is this guy? Software Architect at EMC 12 years, Storage Management Software
More informationSemantic Web Technology: The Foundation For Future Enterprise Systems
Semantic Web Technology: The Foundation For Future Enterprise Systems Abstract by Peter Okech Odhiambo The semantic web is an extension of the current web in which data and web resources is given more
More information13 RDFS and SPARQL. Internet Technology. MSc in Communication Sciences 2011-12 Program in Technologies for Human Communication.
MSc in Communication Sciences 2011-12 Program in Technologies for Human Communication Davide Eynard nternet Technology 13 RDFS and SPARQL 2 RDF - Summary Main characteristics of RDF: Abstract syntax based
More informationThe role of smart data in smart home: health monitoring case
Available online at www.sciencedirect.com ScienceDirect Procedia Computer Science 00 (2015) 000 000 www.elsevier.com/locate/procedia 7th International Conference on Advances in Information Technology The
More informationChapter 2 AN INTRODUCTION TO THE OWL WEB ONTOLOGY LANGUAGE 1. INTRODUCTION. Jeff Heflin Lehigh University
Chapter 2 AN INTRODUCTION TO THE OWL WEB ONTOLOGY LANGUAGE Jeff Heflin Lehigh University Abstract: Key words: 1. INTRODUCTION The OWL Web Ontology Language is an international standard for encoding and
More informationSemantic 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 informationAnalyzing Linked Data tools for SHARK
UNIVERSIDAD DE CASTILLA-LA MANCHA Analyzing Linked Data tools for SHARK Technical Report Cristina Roda, Elena Navarro, Carlos E. Cuesta September 2013 Architectural Knowledge (AK) has been an integral
More informationtechnische universiteit eindhoven WIS & Engineering Geert-Jan Houben
WIS & Engineering Geert-Jan Houben Contents Web Information System (WIS) Evolution in Web data WIS Engineering Languages for Web data XML (context only!) RDF XML Querying: XQuery (context only!) RDFS SPARQL
More informationObject-Process Methodology as a basis for the Visual Semantic Web
Object-Process Methodology as a basis for the Visual Semantic Web Dov Dori Technion, Israel Institute of Technology, Haifa 32000, Israel dori@ie.technion.ac.il, and Massachusetts Institute of Technology,
More informationEUR-Lex 2012 Data Extraction using Web Services
DOCUMENT HISTORY DOCUMENT HISTORY Version Release Date Description 0.01 24/01/2013 Initial draft 0.02 01/02/2013 Review 1.00 07/08/2013 Version 1.00 -v1.00.doc Page 2 of 17 TABLE OF CONTENTS 1 Introduction...
More informationGetting Started Guide
TopBraid Composer Getting Started Guide Version 2.0 July 21, 2007 TopBraid Composer, Copyright 2006 TopQuadrant, Inc. 1 of 58 Revision History Date Version Revision August 1, 2006 1.0 Initial version September
More informationSDN Testbeds and Experimentation
SDN Testbeds and Experimentation Vasileios Kotronis (vkotroni@tik.ee.ethz.ch) 1 What you have seen till now What SDN is about (and how it came to be) Basic concepts, abstractions Architectural components
More informationEvaluating Semantic Web Service Tools using the SEALS platform
Evaluating Semantic Web Service Tools using the SEALS platform Liliana Cabral 1, Ioan Toma 2 1 Knowledge Media Institute, The Open University, Milton Keynes, UK 2 STI Innsbruck, University of Innsbruck,
More informationAlbert Rainer, Jürgen Dorn, Peter Hrastnik
6WUDWHJLHVIRU9LUWXDO(QWHUSULVHVXVLQJ;)RUPVDQGWKH 6HPDQWLF:HE Albert Rainer, Jürgen Dorn, Peter Hrastnik Electronic Commerce Competence Center (ec3) Donau-City-Straße 1 1220 Wien Austria albert.rainer@ec3.at
More informationFederation of Internet experimentation facilities: architecture and implementation
Federation of Internet experimentation facilities: architecture and implementation Tim Wauters, Brecht Vermeulen, Wim Vandenberghe, Piet Demeester, Steve Taylor, Loïc Baron, Mikhail Smirnov, Yahya Al-Hazmi,
More informationThe use of Semantic Web Technologies in Spatial Decision Support Systems
The use of Semantic Web Technologies in Spatial Decision Support Systems Adam Iwaniak Jaromar Łukowicz Iwona Kaczmarek Marek Strzelecki The INSPIRE Conference 2013, 23-27 June Wroclaw University of Environmental
More informationFrom Graph to GUI: Displaying RDF Data from the Web with Arago
From Graph to GUI: Displaying RDF Data from the Web with Arago Hannes Gassert 1 and Andreas Harth 2 1 Université de Fribourg, DIUF/PAI, Chemin du Musée 3, Fribourg/Switzerland. hannes.gassert@deri.org
More informationPublishing Linked Data from relational databases
Publishing Linked Data from relational databases Iván Ruiz Rube Departamento de Lenguajes y Sistemas Informáticos Universidad de Cádiz 09/11/2011 Jornadas de Software Libre y Web 2.0 1 Roadmap The evolution
More informationConfiguration Workshop 2014 Novi Sad/Нови Сад
Configuration Workshop 2014 Novi Sad/Нови Сад Integrating Distributed Configurations with RDFS and SPARQL Gottfried Schenner, Stefan Bischof, Axel Polleres, Simon Steyskal Use Case Large technical systems
More informationDesign and Implementation of a Semantic Web Solution for Real-time Reservoir Management
Design and Implementation of a Semantic Web Solution for Real-time Reservoir Management Ram Soma 2, Amol Bakshi 1, Kanwal Gupta 3, Will Da Sie 2, Viktor Prasanna 1 1 University of Southern California,
More informationBest practices for Linked Data
Best practices for Linked Data Asunción Gómez-Pérez Facultad de Informática, Universidad Politécnica de Madrid Avda. Montepríncipe s/n, 28660 Boadilla del Monte, Madrid http://www.oeg-upm.net asun@fi.upm.es
More informationGraph-Based Linking and Visualization for Legislation Documents (GLVD) Dincer Gultemen & Tom van Engers
Graph-Based Linking and Visualization for Legislation Documents (GLVD) Dincer Gultemen & Tom van Engers Demand of Parliaments Semi-structured information and semantic technologies Inter-institutional business
More informationPublishing 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 informationManaging enterprise applications as dynamic resources in corporate semantic webs an application scenario for semantic web services.
Managing enterprise applications as dynamic resources in corporate semantic webs an application scenario for semantic web services. Fabien Gandon, Moussa Lo, Olivier Corby, Rose Dieng-Kuntz ACACIA in short
More informationTaming Big Data Variety with Semantic Graph Databases. Evren Sirin CTO Complexible
Taming Big Data Variety with Semantic Graph Databases Evren Sirin CTO Complexible About Complexible Semantic Tech leader since 2006 (née Clark & Parsia) software, consulting W3C leadership Offices in DC
More informationRDF y SPARQL: Dos componentes básicos para la Web de datos
RDF y SPARQL: Dos componentes básicos para la Web de datos Marcelo Arenas PUC Chile & University of Oxford M. Arenas RDF y SPARQL: Dos componentes básicos para la Web de datos Valladolid 2013 1 / 61 Semantic
More informationAddressing Self-Management in Cloud Platforms: a Semantic Sensor Web Approach
Addressing Self-Management in Cloud Platforms: a Semantic Sensor Web Approach Rustem Dautov Iraklis Paraskakis Dimitrios Kourtesis South-East European Research Centre International Faculty, The University
More informationLinked Statistical Data Analysis
Linked Statistical Data Analysis Sarven Capadisli 1, Sören Auer 2, Reinhard Riedl 3 1 Universität Leipzig, Institut für Informatik, AKSW, Leipzig, Germany, 2 University of Bonn and Fraunhofer IAIS, Bonn,
More informationIntroduction to the Semantic Web. Semantic tecnologies a quick overview Fulvio Corno Politecnico di Torino
Introduction to the Semantic Web Semantic tecnologies a quick overview Fulvio Corno Politecnico di Torino Semantic Web Web second generation Web 3.0 http://www.w3.org/2001/sw/ Conceptual structuring of
More informationCOMBINING AND EASING THE ACCESS OF THE ESWC SEMANTIC WEB DATA
STI INNSBRUCK COMBINING AND EASING THE ACCESS OF THE ESWC SEMANTIC WEB DATA Dieter Fensel, and Alex Oberhauser STI Innsbruck, University of Innsbruck, Technikerstraße 21a, 6020 Innsbruck, Austria firstname.lastname@sti2.at
More informationWe have big data, but we need big knowledge
We have big data, but we need big knowledge Weaving surveys into the semantic web ASC Big Data Conference September 26 th 2014 So much knowledge, so little time 1 3 takeaways What are linked data and the
More informationGrids, Logs, and the Resource Description Framework
Grids, Logs, and the Resource Description Framework Mark A. Holliday Department of Mathematics and Computer Science Western Carolina University Cullowhee, NC 28723, USA holliday@cs.wcu.edu Mark A. Baker,
More informationIntegrating and Exchanging XML Data using Ontologies
Integrating and Exchanging XML Data using Ontologies Huiyong Xiao and Isabel F. Cruz Department of Computer Science University of Illinois at Chicago {hxiao ifc}@cs.uic.edu Abstract. While providing a
More informationPICASSO Big Data Expert Group
PICASSO Big Data Expert Group Sören Auer Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS The three Big Data V Variety is often neglected Quelle: Gesellschaft für Informatik Fraunhofer
More informationOntology based ranking of documents using Graph Databases: a Big Data Approach
Ontology based ranking of documents using Graph Databases: a Big Data Approach A.M.Abirami Dept. of Information Technology Thiagarajar College of Engineering Madurai, Tamil Nadu, India Dr.A.Askarunisa
More informationDDI Lifecycle: Moving Forward Status of the Development of DDI 4. Joachim Wackerow Technical Committee, DDI Alliance
DDI Lifecycle: Moving Forward Status of the Development of DDI 4 Joachim Wackerow Technical Committee, DDI Alliance Should I Wait for DDI 4? No! DDI Lifecycle 4 is a long development process DDI Lifecycle
More informationOSLC Primer Learning the concepts of OSLC
OSLC Primer Learning the concepts of OSLC It has become commonplace that specifications are precise in their details but difficult to read and understand unless you already know the basic concepts. A good
More informationA Big Picture for Big Data
Supported by EU FP7 SCIDIP-ES, EU FP7 EarthServer A Big Picture for Big Data FOSS4G-Europe, Bremen, 2014-07-15 Peter Baumann Jacobs University rasdaman GmbH p.baumann@jacobs-university.de Our Stds Involvement
More informationD5.3.2b Automatic Rigorous Testing Components
ICT Seventh Framework Programme (ICT FP7) Grant Agreement No: 318497 Data Intensive Techniques to Boost the Real Time Performance of Global Agricultural Data Infrastructures D5.3.2b Automatic Rigorous
More informationSupporting Change-Aware Semantic Web Services
Supporting Change-Aware Semantic Web Services Annika Hinze Department of Computer Science, University of Waikato, New Zealand a.hinze@cs.waikato.ac.nz Abstract. The Semantic Web is not only evolving into
More informationLogic and Reasoning in the Semantic Web (part I RDF/RDFS)
Logic and Reasoning in the Semantic Web (part I RDF/RDFS) Fulvio Corno, Laura Farinetti Politecnico di Torino Dipartimento di Automatica e Informatica e-lite Research Group http://elite.polito.it Outline
More informationThe Syntactic and the Semantic Web
The Syntactic and the Semantic Web Jorge Cardoso Department of Mathematics and Engineering University of Madeira 9000-390 - Funchal jcardoso@uma.pt 1 Motivation for the Semantic Web The World Wide Web
More informationSemantic EPC: Enhancing Process Modeling Using Ontologies
Institute for Information Systems IWi Institut (IWi) für at the German Research Wirtschaftsinformatik Center for im DFKI Saarbrücken Artificial Intelligence (DFKI), Saarland University Semantic EPC: Enhancing
More informationScope. Cognescent SBI Semantic Business Intelligence
Cognescent SBI Semantic Business Intelligence Scope...1 Conceptual Diagram...2 Datasources...3 Core Concepts...3 Resources...3 Occurrence (SPO)...4 Links...4 Statements...4 Rules...4 Types...4 Mappings...5
More informationUIMA and WebContent: Complementary Frameworks for Building Semantic Web Applications
UIMA and WebContent: Complementary Frameworks for Building Semantic Web Applications Gaël de Chalendar CEA LIST F-92265 Fontenay aux Roses Gael.de-Chalendar@cea.fr 1 Introduction The main data sources
More informationVisualizing RDF(S)-based Information
Visualizing RDF(S)-based Information Alexandru Telea, Flavius Frasincar, Geert-Jan Houben Eindhoven University of Technology PO Box 513, NL-5600 MB Eindhoven, the Netherlands alext, flaviusf, houben @win.tue.nl
More informationTECHNICAL 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 informationBusiness Reporting Methods and Policies Using XBRL
Industry Framework and Applications for Business Reporting Semantics Joint XBRL-OMG Project Index XBRL Semantics Framework & Cloud: Executive Summary Business Drivers XBRL Semantics Framework: Major Components
More informationService-Oriented Architectures
Architectures Computing & 2009-11-06 Architectures Computing & SERVICE-ORIENTED COMPUTING (SOC) A new computing paradigm revolving around the concept of software as a service Assumes that entire systems
More informationOntologies, Semantic Web and Virtual Enterprises. Marek Obitko mobitko@ra.rockwell.com Rockwell Automation Research Center, Prague, Czech Republic 1
Ontologies, Semantic Web and Virtual Enterprises Marek Obitko mobitko@ra.rockwell.com Rockwell Automation Research Center, Prague, Czech Republic 1 Agenda Motivation Ontologies Semantic Web Selected Applications
More informationThe 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 informationTowards the Integration of a Research Group Website into the Web of Data
Towards the Integration of a Research Group Website into the Web of Data Mikel Emaldi, David Buján, and Diego López-de-Ipiña Deusto Institute of Technology - DeustoTech, University of Deusto Avda. Universidades
More informationCreating Data Value Chains by Linking Enterprise Data
Creating Data Value Chains by Linking Enterprise Data How the interlinking of distributed and heterogeneous data can facilitate enterprise development, production and services The three Big Data V Variety
More informationBig Data, Cloud Computing, Spatial Databases Steven Hagan Vice President Server Technologies
Big Data, Cloud Computing, Spatial Databases Steven Hagan Vice President Server Technologies Big Data: Global Digital Data Growth Growing leaps and bounds by 40+% Year over Year! 2009 =.8 Zetabytes =.08
More information12 The Semantic Web and RDF
MSc in Communication Sciences 2011-12 Program in Technologies for Human Communication Davide Eynard nternet Technology 12 The Semantic Web and RDF 2 n the previous episodes... A (video) summary: Michael
More informationEAC-CPF Ontology and Linked Archival Data
EAC-CPF Ontology and Linked Archival Data Silvia Mazzini 1, Francesca Ricci 2 1 Regesta.exe (Rome, Italy) smazzini@regesta.com 2 Istituto per i beni artistici culturali e naturali della Regione Emilia-Romagna
More informationAn Application Ontology to Support the Access to Data of Medical Doctors and Health Facilities in Brazilian Municipalities
An Application Ontology to Support the Access to Data of Medical Doctors and Health Facilities in Brazilian Municipalities Aline da Cruz R. Souza, Adriana P. de Medeiros, Carlos Bazilio Martins Department
More informationBig Data, Fast Data, Complex Data. Jans Aasman Franz Inc
Big Data, Fast Data, Complex Data Jans Aasman Franz Inc Private, founded 1984 AI, Semantic Technology, professional services Now in Oakland Franz Inc Who We Are (1 (2 3) (4 5) (6 7) (8 9) (10 11) (12
More informationSmartLink: 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 informationChallenges of an Information Model for Federating Virtualized Infrastructures
Challenges of an Information Model for Federating Virtualized Infrastructures Jeroen van der Ham, Chrysa Papagianni, József Stéger, Péter Mátray, Yiannos Kryftis, Paola Grosso, Leonidas Lymberopoulos,
More informationDLDB: Extending Relational Databases to Support Semantic Web Queries
DLDB: Extending Relational Databases to Support Semantic Web Queries Zhengxiang Pan (Lehigh University, USA zhp2@cse.lehigh.edu) Jeff Heflin (Lehigh University, USA heflin@cse.lehigh.edu) Abstract: We
More informationCollaborative Open Market to Place Objects at your Service
Collaborative Open Market to Place Objects at your Service D6.1.1 Functional Requirements and Specification of Open Marketplace Developers API Project Acronym Project Title COMPOSE Project Number 317862
More informationDISTRIBUTED RDF QUERY PROCESSING AND REASONING FOR BIG DATA / LINKED DATA. A THESIS IN Computer Science
DISTRIBUTED RDF QUERY PROCESSING AND REASONING FOR BIG DATA / LINKED DATA A THESIS IN Computer Science Presented to the Faculty of the University of Missouri-Kansas City in partial fulfillment of the requirements
More informationPublishing Relational Databases as Linked Data
Publishing Relational Databases as Linked Data Oktie Hassanzadeh University of Toronto March 2011 CS 443: Database Management Systems - Winter 2011 Outline 2 Part 1: How to Publish Linked Data on the Web
More informationThe Ontological Approach for SIEM Data Repository
The Ontological Approach for SIEM Data Repository Igor Kotenko, Olga Polubelova, and Igor Saenko Laboratory of Computer Science Problems, Saint-Petersburg Institute for Information and Automation of Russian
More informationFlexible Reliable Affordable Web-scale computing.
bigdata Flexible Reliable Affordable Web-scale computing. bigdata 1 OSCON 2008 Background How bigdata relates to other efforts. Architecture Some examples RDF DB Some examples Web 3.0 Processing Using
More informationDendro: collaborative research data management built on linked open data
Dendro: collaborative research data management built on linked open data João Rocha da Silva João Aguiar Castro Faculdade de Engenharia da Universidade do Porto/INESC TEC, Portugal, {joaorosilva,joaoaguiarcastro}@gmail.com
More informationFraunhofer 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 informationCollaborative Metadata Management
Collaborative Metadata Management Claudio Jossen Department of Informatics University of Zurich Database Technology Research Group Binzmühlestrasse 14, CH-8050 Zürich e-mail: jossen@ifi.unizh.ch, http://www.ifi.unizh.ch
More informationInformation retrieval and knowledge discovery utilising a biomedical Semantic Web Sougata Mukherjea Date received (in revised form): 14th June 2005
Sougata Mukherjea is a Research Staff Member in IBM India Research Lab Before joining IBM, he held research and software architect positions in companies in Silicon Valley (California) including NEC USA,
More informationAutomating Cloud Service Level Agreements using Semantic Technologies
In proceedings of CLaw Workshop, IEEE International Conference on Cloud Engineering (IC2E), March 2015 Automating Cloud Service Level Agreements using Semantic Technologies Karuna Pande Joshi and Claudia
More informationNetwork Graph Databases, RDF, SPARQL, and SNA
Network Graph Databases, RDF, SPARQL, and SNA NoCOUG Summer Conference August 16 2012 at Chevron in San Ramon, CA David Abercrombie Data Analytics Engineer, Tapjoy david.abercrombie@tapjoy.com About me
More informationMasterarbeit. Entwicklung und Implementierung eines Domain Brokers für das Semantic Web
Georg-August-Universität Göttingen Zentrum für Informatik ISSN 1612-6793 Nummer ZFI-BM-2006-35 Masterarbeit im Studiengang "Angewandte Informatik" Entwicklung und Implementierung eines Domain Brokers für
More informationexcellent graph matching capabilities with global graph analytic operations, via an interface that researchers can use to plug in their own
Steve Reinhardt 2 The urika developers are extending SPARQL s excellent graph matching capabilities with global graph analytic operations, via an interface that researchers can use to plug in their own
More informationOntology Patterns for Complex Activity Modelling
Ontology Patterns for Complex Activity Modelling Georgios Meditskos, Stamatia Dasiopoulou, Vasiliki Efstathiou, Ioannis Kompatsiaris Information Technologies Institute Centre of Research & Technology Hellas
More informationMEMOIRE PRESENTE A L'UNIVERSITÉ DU QUÉBEC À CHICOUTIMI COMME EXIGENCE PARTIELLE DE LA MAÎTRISE EN INFORMATIQUE PAR WEI RAN B.A.A.
MEMOIRE PRESENTE A L'UNIVERSITÉ DU QUÉBEC À CHICOUTIMI COMME EXIGENCE PARTIELLE DE LA MAÎTRISE EN INFORMATIQUE PAR WEI RAN B.A.A. SEMANTIC WEB AND BUSINESS APPLICATION April 2011 Content Abstract - 1 Résumé
More informationTopBraid Application Development Quickstart Guide. Version 3.3
TopBraid Application Development Quickstart Guide Version 3.3 October 27, 2010 2 TopBraid Application Development Quickstart Guide Introduction TopBraid Application Development Quickstart Guide TOC 3 Contents
More informationRDF Support in Oracle Oracle USA Inc.
RDF Support in Oracle Oracle USA Inc. 1. Introduction Resource Description Framework (RDF) is a standard for representing information that can be identified using a Universal Resource Identifier (URI).
More informationHow To Understand The Difference Between Terminology And Ontology
Terminology and Ontology in Semantic Interoperability of Electronic Health Records Dr. W. Ceusters Saarland University Semantic Interoperability Working definition: Two information systems are semantically
More informationPotential standardization items for the cloud computing in SC32
WG2 N1665 Potential standardization items for the cloud computing in SC32 ISO/IEC JTC 1/SC 32 Plenary Meeting, Berlin, Germany, June 2012 Sungjoon Lim, Korea Database Agency (KDB) Dongwon Jeong, Kunsan
More informationBenchmarking the Performance of Storage Systems that expose SPARQL Endpoints
Benchmarking the Performance of Storage Systems that expose SPARQL Endpoints Christian Bizer 1 and Andreas Schultz 1 1 Freie Universität Berlin, Web-based Systems Group, Garystr. 21, 14195 Berlin, Germany
More informationCombining Ontology Development Methodologies and Semantic Web Platforms for E-government Domain Ontology Development
Combining Ontology Development Methodologies and Semantic Web Platforms for E-government Domain Ontology Development Jean Vincent Fonou-Dombeu 1, 2 and Magda Huisman 2 1 Department of Software Studies,
More informationSemantics and Ontology of Logistic Cloud Services*
Semantics and Ontology of Logistic Cloud s* Dr. Sudhir Agarwal Karlsruhe Institute of Technology (KIT), Germany * Joint work with Julia Hoxha, Andreas Scheuermann, Jörg Leukel Usage Tasks Query Execution
More informationWEB SERVICES. Revised 9/29/2015
WEB SERVICES Revised 9/29/2015 This Page Intentionally Left Blank Table of Contents Web Services using WebLogic... 1 Developing Web Services on WebSphere... 2 Developing RESTful Services in Java v1.1...
More informationSindice.com: Weaving the Open Linked Data
Sindice.com: Weaving the Open Linked Data Giovanni Tummarello, Renaud Delbru, and Eyal Oren Digital Enterprise Research Institute National University of Ireland, Galway Galway, Ireland Abstract. Developers
More informationKNOWLEDGE-BASED VISUALIZATION
UNIVERSITÀ DEGLI STUDI DI ROMA TOR VERGATA DIPARTIMENTO DI INFORMATICA SISTEMI E PRODUZIONE Dottorato di Ricerca Informatica e Ingegneria dell Automazione Ciclo XXIV KNOWLEDGE-BASED VISUALIZATION SYSTEMS
More informationD6.2 Detailed specifications regarding monitoring and measurement for second cycle
Project Acronym Fed4FIRE Project Title Federation for FIRE Instrument Large scale integrating project (IP) Call identifier FP7 ICT 2011 8 Project number 318389 Project website www.fed4fire.eu D6.2 Detailed
More informationAmpersand and the Semantic Web
Ampersand and the Semantic Web The Ampersand Conference 2015 Lloyd Rutledge The Semantic Web Billions and billions of data units Triples (subject-predicate-object) of URI s Your data readily integrated
More informationA Framework for Collaborative Project Planning Using Semantic Web Technology
A Framework for Collaborative Project Planning Using Semantic Web Technology Lijun Shen 1 and David K.H. Chua 2 Abstract Semantic web technology has become an enabling technology for machines to automatically
More informationSemantic Web Tool Landscape
Semantic Web Tool Landscape CENDI-NFAIS-FLICC Conference National Archives Building November 17, 2009 Dr. Leo Obrst MITRE Information Semantics Group Information Discovery & Understanding Command and Control
More information