Semantic web access prediction by means of WordNet
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F09%3A00157261" target="_blank" >RIV/68407700:21230/09:00157261 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Semantic web access prediction by means of WordNet
Original language description
Web pages from a web site can often be associated with some semantic concepts, and relationships can exist between pairs of web pages. Extraction of semantic information from objects present on web can help to reduce amount of obtained irrelevant information. By deriving these concepts and relationship instances, web pages can be searched, browsed or even reorganized based on their associated concepts and relationships. Combining these two approaches we can achieve more efficient web search and information retrieval. This paper presents recently used techniques of prefetching and suggests new idea of semantic prefetching based on semantic concepts describing the web page. As these semantic concepts are not commonly present
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ICWE 2009 Doctoral Consortium Proceedings
ISBN
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ISSN
1613-0073
e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
University of the Basque Country
Place of publication
San Sebastian
Event location
San Sebastian
Event date
Jun 22, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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