News Filtering with Semantic Web Entities
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F11%3A00184096" target="_blank" >RIV/68407700:21240/11:00184096 - isvavai.cz</a>
Result on the web
<a href="http://research.i-lasek.cz/_media/publications/itat2011_lasek.pdf" target="_blank" >http://research.i-lasek.cz/_media/publications/itat2011_lasek.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
News Filtering with Semantic Web Entities
Original language description
In the area of online news articles filtering, two types of methods have been used. Either the collaborative filtering, or the content based filtering supported by information retrieval techniques. In this paper we introduce a novel approach to information filtering exploiting semantic information contained in each news article. The semantic information is in our case represented by named entities extracted from the article. We propose a system using named entities recognition to build a user profile for information filtering. We developed the model of the user profile that is being built automatically based on a user feedback.
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
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ITAT 2011: Zborník príspevkov prezentovaných na konferencii ITAT
ISBN
978-80-89557-01-1
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
17-22
Publisher name
Univerzita P.J.Šafárika
Place of publication
Košice
Event location
Terchová
Event date
Sep 23, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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