Wordnet Ontology Based Model for Information Retrieval

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03100584" target="_blank" >RIV/68407700:21230/04:03100584 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27240/04:00010327
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Wordnet Ontology Based Model for Information Retrieval
Original language description
In the area of information retrieval, the dimension of document vectors plays an important role. Firstly, with higher dimensions index the indexing structures suffer from the "curse of dimensionality" and their efficiency rapidly decreases. Secondly, wemay not use exact words when looking for a document, thus we miss some relevant documents. LSI (Latent Semantic Indexing) is a numerical method, which discovers latent semantic in documents by creating concepts from existing terms. In this article we present a basic method mapping LSI concepts on given ontology - WordNet, used both for retrieval recall improvement and dimension reduction. We offer experimental results for this method on a subset of TREC collection, consisting of Los Angeles Times articles.
Czech name
Není k dispozici
Czech description
Není k dispozici

Project
<a href="/en/project/GA201%2F03%2F1318" target="_blank" >GA201/03/1318: Intelligent analysis of WWW content and structure</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2004
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the International Conference on Communications in Computing
ISBN
1-932415-36-X
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
288-294
Publisher name
CSREA Press
Place of publication
Las Vegas
Event location
Las Vegas
Event date
Jun 21, 2004
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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