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|Booktitle=Working Notes of the CLEF 2010 Lab Sessions | |Booktitle=Working Notes of the CLEF 2010 Lab Sessions | ||
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− | |Abstract=Most Information Retrieval models take documents as Bag- of-Words and are thereby bound to the language of the documents. In this paper, we present an approach using Linked Open Data | + | |Abstract=Most Information Retrieval models take documents as Bag-of-Words and are thereby bound to the language of the documents. In this paper, we present an approach using Linked Open Data resources, i.e. URIs, as interlingual document representations. Documents and queries are summarized by the resources they contain. We show the applicability of our approach for multilingual retrieval with a case study on expert search. |
|ISBN=978-88-904810-0-0 | |ISBN=978-88-904810-0-0 | ||
|ISSN=2038-4963 | |ISSN=2038-4963 | ||
− | |Download=Clef2010Labs LOD Expertsearch.pdf, | + | |Download=Clef2010Labs LOD Expertsearch.pdf, |
|Link=http://www.clef2010.org/index.php?page=pages/proceedings.php | |Link=http://www.clef2010.org/index.php?page=pages/proceedings.php | ||
|Projekt=IGreen | |Projekt=IGreen |
Version vom 17. September 2010, 14:48 Uhr
Multilingual Expert Search using Linked Open Data as Interlingual Representation
Multilingual Expert Search using Linked Open Data as Interlingual Representation
Published: 2010
September
Buchtitel: Working Notes of the CLEF 2010 Lab Sessions
Verlag: CLEF 2010
Referierte Veröffentlichung
BibTeX
Kurzfassung
Most Information Retrieval models take documents as Bag-of-Words and are thereby bound to the language of the documents. In this paper, we present an approach using Linked Open Data resources, i.e. URIs, as interlingual document representations. Documents and queries are summarized by the resources they contain. We show the applicability of our approach for multilingual retrieval with a case study on expert search.
ISBN: 978-88-904810-0-0
ISSN: 2038-4963
Download: Media:Clef2010Labs LOD Expertsearch.pdf
Weitere Informationen unter: Link
Semantische Technologien, Vernetzte Daten, Information Retrieval