A Revisit of Query Expansion with Different Semantic Levels
Identifieur interne : 000A25 ( Main/Exploration ); précédent : 000A24; suivant : 000A26A Revisit of Query Expansion with Different Semantic Levels
Auteurs : Ce Zhang [République populaire de Chine] ; Bin Cui [République populaire de Chine] ; Gao Cong [Danemark] ; Yu-Jing Wang [République populaire de Chine]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2009.
Abstract
Abstract: Query expansion has received extensive attention in information retrieval community. Although semantic based query expansion appears to be promising in improving retrieval performance, previous research has shown that it cannot consistently improve retrieval performance. It is a tricky problem to automatically determine whether to do query expansion for a given query. In this paper, we introduce Compact Concept Ontology (CCO) and provide users the option of exploring different semantic levels by using different CCOs. Experimental results show our approach is superior to previous work in many cases. Additionally, we integrate the proposed methods into a text-based video search system (iVSearcher), to improve the user’s experience and retrieval performance significantly. To the best of our knowledge, this is the first system that integrates semantic information into video search and explores different semantic levels.
Url:
DOI: 10.1007/978-3-642-00887-0_58
Affiliations:
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Although semantic based query expansion appears to be promising in improving retrieval performance, previous research has shown that it cannot consistently improve retrieval performance. It is a tricky problem to automatically determine whether to do query expansion for a given query. In this paper, we introduce Compact Concept Ontology (CCO) and provide users the option of exploring different semantic levels by using different CCOs. Experimental results show our approach is superior to previous work in many cases. Additionally, we integrate the proposed methods into a text-based video search system (iVSearcher), to improve the user’s experience and retrieval performance significantly. To the best of our knowledge, this is the first system that integrates semantic information into video search and explores different semantic levels.</div></front></TEI><affiliations><list><country><li>Danemark</li><li>République populaire de Chine</li></country><region><li>Pékin</li></region><settlement><li>Pékin</li></settlement><orgName><li>Université de Pékin</li></orgName></list><tree><country name="République populaire de Chine"><region name="Pékin"><name sortKey="Zhang, Ce" sort="Zhang, Ce" uniqKey="Zhang C" first="Ce" last="Zhang">Ce Zhang</name></region><name sortKey="Cui, Bin" sort="Cui, Bin" uniqKey="Cui B" first="Bin" last="Cui">Bin Cui</name><name sortKey="Cui, Bin" sort="Cui, Bin" uniqKey="Cui B" first="Bin" last="Cui">Bin Cui</name><name sortKey="Wang, Yu Jing" sort="Wang, Yu Jing" uniqKey="Wang Y" first="Yu-Jing" last="Wang">Yu-Jing Wang</name><name sortKey="Wang, Yu Jing" sort="Wang, Yu Jing" uniqKey="Wang Y" first="Yu-Jing" last="Wang">Yu-Jing Wang</name><name sortKey="Zhang, Ce" sort="Zhang, Ce" uniqKey="Zhang C" first="Ce" last="Zhang">Ce Zhang</name></country><country name="Danemark"><noRegion><name sortKey="Cong, Gao" sort="Cong, Gao" uniqKey="Cong G" first="Gao" last="Cong">Gao Cong</name></noRegion><name sortKey="Cong, Gao" sort="Cong, Gao" uniqKey="Cong G" first="Gao" last="Cong">Gao Cong</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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