Ranking Entities in a Large Semantic Network


Schuhmacher, Michael ; Ponzetto, Simone Paolo


DOI: 10.1007/978-3-319-11955-7_30
URL: http://2014.eswc-conferences.org/sites/default/fil...
Additional URL: http://dws.informatik.uni-mannheim.de/fileadmin/le...
Document Type: Conference or workshop publication
Year of publication: 2014
Book title: The Semantic Web: ESWC 2014 Satellite Events : ESWC 2014 Satellite Events, Anissaras, Crete, Greece, May 25-29, 2014, Revised Selected Papers
The title of a journal, publication series: Lecture Notes in Computer Science
Volume: 8798
Page range: 254-258
Date of the conference: 25.05.2014
Author/Publisher of the book
(only the first ones mentioned)
:
Presutti, Valentina
Place of publication: Cham
Publishing house: Springer
ISBN: 978-3-319-11954-0 , 978-3-319-11955-7
Publication language: English
Institution: School of Business Informatics and Mathematics > Semantic Web (Juniorprofessur) (Ponzetto 2013-15)
School of Business Informatics and Mathematics > Praktische Informatik II (Stuckenschmidt 2009-)
Subject: 004 Computer science, internet
Abstract: We present two knowledge-rich methods for ranking entities in a semantic network. Our approach relies on the DBpedia knowledge base for acquiring fine-grained information about entities and their semantic relations. Experiments on a benchmarking dataset show the viability of our approach.

Dieser Eintrag ist Teil der Universitätsbibliographie.




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Schuhmacher, Michael ; Ponzetto, Simone Paolo (2014) Ranking Entities in a Large Semantic Network. In: The Semantic Web: ESWC 2014 Satellite Events : ESWC 2014 Satellite Events, Anissaras, Crete, Greece, May 25-29, 2014, Revised Selected Papers 2014 Cham [Conference or workshop publication]



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