Enrichment of Library Authority Files by Linked Open Data Sources

Slides:



Advertisements
Similar presentations
TWO STEP EQUATIONS 1. SOLVE FOR X 2. DO THE ADDITION STEP FIRST
Advertisements

Ernst Oberortner Vienna University of Technology.
Search Engine Marketing 101 June 20, 2006 Presented By:
Delta Confidential 1 5/29 – 6/6, 2001 SAP R/3 V4.6c PP Module Order Change Management(OCM)
Semantic Integration of Social and Domain Knowledge in a Collaborative Network Platform Luís Carneiro Supervisor: Professor António Lucas Soares
Kapitel 21 Astronomie Autor: Bennett et al. Galaxienentwicklung Kapitel 21 Galaxienentwicklung © Pearson Studium 2010 Folie: 1.
Chapter 1 The Study of Body Function Image PowerPoint
Copyright © 2011, Elsevier Inc. All rights reserved. Chapter 5 Author: Julia Richards and R. Scott Hawley.
1 Copyright © 2010, Elsevier Inc. All rights Reserved Fig 2.1 Chapter 2.
By D. Fisher Geometric Transformations. Reflection, Rotation, or Translation 1.
Improving Human-Semantic Web Interaction: The Rhizomer Experience Roberto García and Rosa Gil GRIHO - Human Computer Interaction Research Group Universitat.
…to Ontology Repositories Mathieu dAquin Knowledge Media Institute, The Open University From…
1 Web Search Environments Web Crawling Metadata using RDF and Dublin Core Dave Beckett Slides:
March 2007 Mi Kyung Lee National Assembly Library of Korea.
Business Transaction Management Software for Application Coordination 1 Business Processes and Coordination.
Electronic Resources in the EUI Library
Multilingual Access to Online Content - the Europeana Experience Vivien Petras (Humboldt-Universität zu Berlin) With the help of.
Federal Department of Home Affairs FDHA Swiss Federal Office of Culture FOC Swiss National Library SNL EuroVoc Conference – Mind the Lexical Gap,18-19.
European Thesaurus on International Relations and Area Studies A multilingual terminological tool on international affairs Axel Huckstorf Stiftung Wissenschaft.
Multilinguality & Semantic Search Eelco Mossel (University of Hamburg) Review Meeting, January 2008, Zürich.
Jeopardy Q 1 Q 6 Q 11 Q 16 Q 21 Q 2 Q 7 Q 12 Q 17 Q 22 Q 3 Q 8 Q 13
Jeopardy Q 1 Q 6 Q 11 Q 16 Q 21 Q 2 Q 7 Q 12 Q 17 Q 22 Q 3 Q 8 Q 13
Title Subtitle.
My Alphabet Book abcdefghijklm nopqrstuvwxyz.
0 - 0.
ALGEBRAIC EXPRESSIONS
DIVIDING INTEGERS 1. IF THE SIGNS ARE THE SAME THE ANSWER IS POSITIVE 2. IF THE SIGNS ARE DIFFERENT THE ANSWER IS NEGATIVE.
SUBTRACTING INTEGERS 1. CHANGE THE SUBTRACTION SIGN TO ADDITION
MULT. INTEGERS 1. IF THE SIGNS ARE THE SAME THE ANSWER IS POSITIVE 2. IF THE SIGNS ARE DIFFERENT THE ANSWER IS NEGATIVE.
Addition Facts
1 AirBase DEM training Wim Mol, Libor Cernikovski, Patrick van Hooydonk European Topic Centre on Air and Climate Change (ETC/ACC)
1/ 26 AGROVOC and the OWL Web Ontology Language: the Agriculture Ontology Service - Concept Server OWL model NKOS workshop Alicante,
UKOLN, University of Bath
ZMQS ZMQS
Creating Knowledge out of Interlinked Data Wissenserschliessung um Web Page 1 Vom Web der vernetzten Daten zum Web vernetzten.
Photo Composition Study Guide Label each photo with the category that applies to that image.
Introduction Lesson 1 Microsoft Office 2010 and the Internet
Niagara Portal Introduction January 2007 Scott Muench - Technical Sales Manager.
BT Wholesale October Creating your own telephone network WHOLESALE CALLS LINE ASSOCIATED.
Thesaurus Management and User-Friendliness: a contradiction? Helmut Nagy Semantic Web Company
Controlled Vocabularies in TELPlus Antoine ISAAC Vrije Universiteit Amsterdam EDLProject Workshop November 2007.
ABC Technology Project
1 Web-Enabled Decision Support Systems Access Introduction: Touring Access Prof. Name Position (123) University Name.
© S Haughton more than 3?
© Arjen P. de Vries Arjen P. de Vries Fascinating Relationships between Media and Text.
(c) DJP Information Consulting Services, LLC1 1 Automatic Concept Identification: Extracting Problem Solved Concepts From Patent Documents IRFS.
1 Directed Depth First Search Adjacency Lists A: F G B: A H C: A D D: C F E: C D G F: E: G: : H: B: I: H: F A B C G D E H I.
“Start-to-End” Simulations Imaging of Single Molecules at the European XFEL Igor Zagorodnov S2E Meeting DESY 10. February 2014.
1 Evaluations in information retrieval. 2 Evaluations in information retrieval: summary The following gives an overview of approaches that are applied.
Squares and Square Root WALK. Solve each problem REVIEW:
Lets play bingo!!. Calculate: MEAN Calculate: MEDIAN
Chapter 5 Test Review Sections 5-1 through 5-4.
GG Consulting, LLC I-SUITE. Source: TEA SHARS Frequently asked questions 2.
1 First EMRAS II Technical Meeting IAEA Headquarters, Vienna, 19–23 January 2009.
Addition 1’s to 20.
25 seconds left…...
Test B, 100 Subtraction Facts
Week 1.
We will resume in: 25 Minutes.
©Brooks/Cole, 2001 Chapter 12 Derived Types-- Enumerated, Structure and Union.
1 Unit 1 Kinematics Chapter 1 Day
How Cells Obtain Energy from Food
Sharing Human Rights Terminologies: towards an online Thesauri Builder Boris Panhoelzl ECCHRD-meeting, 22 October 2010.
SKOS and Linked Data Antoine Isaac ISKO, London, Sept. 14th 2010.
Information Extraction with Linked Life Data 19/04/2011.
© Copyright 2012 STI INNSBRUCK
Data on the Web Life Cycle Bernadette Farias Lóscio March, 2014.
GEMET GEneral Multilingual Environmental Thesaurus leading the way to federated terminologies Stefan Jensen, Head of information services group with input.
Overview & Applications Welcome!
Presentation transcript:

Enrichment of Library Authority Files by Linked Open Data Sources Gerd Zechmeister Semantic Web Company – http://www.semantic-web.at

Demonstration Scenario Process & Results Summary & Outlook Presentation agenda About us LOD2 Project Demonstration Scenario Process & Results Summary & Outlook © Semantic Web Company – http://www.semantic-web.at/

Based in Vienna (privately held) 20 specialists from several fields About us Based in Vienna (privately held) 20 specialists from several fields Focus: Semantic (web) technologies & search applications 1st project based on semantic technologies in 2001 Foundation of Semantic Web School in 2004  Semantic Web Company GmbH since 2008 PoolParty development started in 2007, on the market since 2009 © Semantic Web Company – http://www.semantic-web.at/

© Semantic Web Company – http://www.semantic-web.at/

PP Thesaurus Manager 2. 4. 1. 3. 5. Each concept in one or many concept schemes Each concept has one URI Each concept has one ore more labels (Poly-)Hierarchical and non-hierachical relations Matching between concepts from various sources © Semantic Web Company – http://www.semantic-web.at/

SKOSsy Select DBPedia categories Choose extraction depth, data to extract and format (TTL, TriG etc.) Extract it and import it into PoolParty as Seed Thesaurus © Semantic Web Company – http://www.semantic-web.at/

Coordinated by the AKSW research group at the University of Leipzig FP7 project (2010-2014) 15 partners (technology researchers, companies and service providers) from 11 European countries plus 1 associated partner from Korea Coordinated by the AKSW research group at the University of Leipzig © Semantic Web Company – http://www.semantic-web.at/

LOD Life-Cycle Management Extraction of RDF from text, XML and SQL Querying and Exploration using SPARQL Authoring of Linked Data using a Semantic Wiki Semi-automatic link discovery between Linked Data sources Knowledge-base Enrichment and Repair © Semantic Web Company – http://www.semantic-web.at/

Demonstration Scenario Alignment Example Data vs LOD resources in SKOS Identification of matching concepts Enrichment Addition of matches to Example Data dump © Semantic Web Company – http://www.semantic-web.at/

Demonstration Scenario Applied tools and frameworks Tool/Framework Function Using SKOS Thesauri as graph/SPARQL endpoint Creating example data as graph/SPARQL endpoint Comparing data to detect matching concepts Extracting categories from DBPedia to import it as Thesaurus into PoolParty © Semantic Web Company – http://www.semantic-web.at/

Demonstration Scenario Example Data Schlagwortnormdatei (SWD = keyword authority file) from DNB data dump 166.414 concepts in German with alignments to LCSH, RAMEAU etc. Expressed in SKOS (hierarchical and associative relations) © Semantic Web Company – http://www.semantic-web.at/

Demonstration Scenario SKOS vocabularies for alignment Standard Thesaurus Economy (STW) 6520 concepts with english/german prefLabel European Union Thesaurus (EUROVOC) 6797 concepts with multilingual prefLabel Extracted concepts from DBPedia via SKOSsy: „Economy“ 13294 concepts in German © Semantic Web Company – http://www.semantic-web.at/

Process & Results: preparational steps Download SWD data dump from DNB server Evaluation SKOS compatibility Transformation SWD data as SPARQL endpoint Vocabulary selection Focus on Economy vocabularies © Semantic Web Company – http://www.semantic-web.at/

Process & Results: Alignment Specification in SILK workbench Define data sources: SWD & EUROVOC Define tasks: compare all skos:prefLabels and deliver all matching links Initiate process and create output file © Semantic Web Company – http://www.semantic-web.at/

SILK Workbench Alignment SWD vs EUROVOC © Semantic Web Company – http://www.semantic-web.at/

SILK Workbench Alignment SWD vs EUROVOC © Semantic Web Company – http://www.semantic-web.at/

Process & Results: Alignment SWD 166414 cs. 3440 matching links 1318 2169 STW 6520 cs. EUROVOC 6797 cs. DPPedia Wirtschaft 13294 cs. © Semantic Web Company – http://www.semantic-web.at/

Process & Results: Enrichment Upload of exactmatches to the SWD graph in Virtuoso © Semantic Web Company – http://www.semantic-web.at/

Process & Results: Enrichment Subject Predicate Object <http://d-nb.info/gnd/4000107-6> <skos:exactMatch> <http://de.dbpedia.org/resource/Abfallwirtschaft> <http://eurovoc.europa.eu/1158> <http://zbw.eu/stw/descriptor/13325-0> © Semantic Web Company – http://www.semantic-web.at/

SWD DBPedia EUROVOC STW © Semantic Web Company – http://www.semantic-web.at/

Process & Results: Enrichment <skos:Concept rdf:about="http://d-nb.info/gnd/4000107-6"> <skos:definition xml:lang="de">Weiter als im Gabler definiert, auch für öffentliche Abfallwirtschaft</skos:definition> <dnb:hasCoordinatedConcept-of> <dnb:CoordinatedConcept> <dnb:coordination-of rdf:resource="http://d-nb.info/ddc-sg/360"/> <dnb:coordination-of rdf:resource="http://d-nb.info/gnd/4000107-6"/> <dnb:det2 rdf:resource="http://d-nb.info/ddc/class/363.728"/> </dnb:CoordinatedConcept> </dnb:hasCoordinatedConcept-of> <skos:related rdf:resource="http://d-nb.info/gnd/4000100-3"/> <skos:related rdf:resource="http://d-nb.info/gnd/4076573-8"/> <dcterms:identifier>(DE-588)040001075</dcterms:identifier> <dcterms:identifier>(DE-588c)4000107-6</dcterms:identifier> <skos:broader rdf:resource="http://d-nb.info/gnd/4220414-8"/> <skos:prefLabel xml:lang="de">Abfallwirtschaft</skos:prefLabel> <skos:exactMatch rdf:resource="http://de.dbpedia.org/resource/Abfallwirtschaft"> <skos:exactMatch rdf:resource="http://eurovoc.europa.eu/1158"> <skos:exactMatch rdf:resource="http://zbw.eu/stw/descriptor/13325-0"> </skos:Concept> © Semantic Web Company – http://www.semantic-web.at/

Playground for future scenarios Summary & Outlook Playground for future scenarios Linked Open Library Data LOD2 technology stack components Further applications Executing tasks for regular updates Link exchange with LOD providers Integration of data and cross-media (e.g. geo-references, images, AV files) Expansion of authority files for cataloguing (e.g. multilingual searches) © Semantic Web Company – http://www.semantic-web.at/

Get in contact! Gerd Zechmeister Research & Development Manager g.zechmeister@semantic-web.at Semantic Web Company GmbH Mariahilfer Strasse 70/8 1070 Vienna - Austria http://www.semantic-web.at/ http://poolparty.biz/ http://twitter.com/semwebcompany © Semantic Web Company – http://www.semantic-web.at/