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Using SKOS vocabularies for improving Web Search

Abstract

Knowledge organization systems such as thesauri or taxonomies are increasingly being expressed using the Simple Knowledge Organization System (SKOS) and published as structured data on the Web. Search engines can exploit these vocabularies and improve search by expanding terms at query or document indexing time. We propose a SKOS-based term expansion and scoring technique that leverages labels and semantic relationships of SKOS concept definitions. We also implemented this technique for Apache Lucene and Solr. Experiments with the Medical Subject Headings vocabulary and an early evaluation with Library of Congress Subject Headings indicated gains in precision when using SKOS-based expansion compared to pseudo relevance feedback and no expansion. Our findings are important for publishers and consumer of Web vocabularies who want to use them for improving search over Web documents.

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Authors
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Citation
Category
Paper in Conference Proceedings or in Workshop Proceedings (Paper)
Event Title
Web of Linked Entities (WoLE)
Divisions
Multimedia Information Systems
Subjects
Webmanagement
Event Location
Rio de Janeiro
Event Type
Workshop
Event Dates
May 13th
Series Name
Web of Linked Entities (WoLE) Workshop, co-located with WWW2013
Date
13 May 2013
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