RDF dataset profiling – a survey of features, methods, vocabularies and applications

Author:

Ben Ellefi Mohamed1,Bellahsene Zohra1,Breslin John G.2,Demidova Elena3,Dietze Stefan3,Szymański Julian4,Todorov Konstantin1

Affiliation:

1. LIRMM, University of Montpellier and CNRS, Montpellier, France. E-mails: benellefi@lirmm.fr, bella@lirmm.fr, todorov@lirmm.fr

2. Insight Centre for Data Analytics, NUI Galway, University Road, Galway, Ireland. E-mail: john.breslin@nuigalway.ie

3. L3S Research Center, Appelstr. 9a, 30167 Hannover, Germany. E-mails: demidova@L3S.de, dietze@L3S.de

4. Gdańsk University of Technology, Poland. E-mail: julian.szymanski@eti.pg.gda.pl

Publisher

IOS Press

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Reference83 articles.

1. Profiling and mining RDF data with ProLOD++

2. K. Alexander, R. Cyganiak, M. Hausenblas and J. Zhao, Describing linked datasets, in: Proceedings of the WWW2009 Workshop on Linked Data on the Web, LDOW 2009, Madrid, Spain, April 20, 2009, C. Bizer, T. Heath, T. Berners-Lee and K. Idehen, eds, CEUR Workshop Proceedings, Vol. 538, CEUR-WS.org, 2009. http://ceur-ws.org/Vol-538/ldow2009_paper20.pdf.

3. DBpedia: A Nucleus for a Web of Open Data

4. LODStats – An Extensible Framework for High-Performance Dataset Analytics

5. A review of ontology based query expansion;Bhogal;Information Processing & Management,2007

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