Learning Semantic Web Usage Profiles by Using Genetic Algorithms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00184153" target="_blank" >RIV/68407700:21230/11:00184153 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21240/11:00184153
Result on the web
<a href="http://ijits-bg.com/" target="_blank" >http://ijits-bg.com/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Learning Semantic Web Usage Profiles by Using Genetic Algorithms
Original language description
Web usage profile is very important in recommender systems. More interesting is the semantic enriched profile, which can describe visitor intents by ontologies and express more information and relations of visitor's character. Our research is based on processing semantically enriched clickstream and application of scoring algorithm, which is based on symbolic regression. A semantic enrichment uses Linked Data principles. The scoring assigns to each pageview a value, which represents and involves visitorinterests. Scoring involves all know attributes of each pageview including semantic annotation. The score of each pageview is used to establish a visitor profile. The established profile can be in form of ontologies. In this paper, we propose integratescoring algorithm into semantic web usage mining and publish visitor profile in RDF/OWL representation. We suggest merge the profiles from different web sites and integrate additional related information from publicly available reso
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>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
Name of the periodical
International Journal on Information Technologies and Security
ISSN
1313-8251
e-ISSN
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Volume of the periodical
3
Issue of the periodical within the volume
4
Country of publishing house
BG - BULGARIA
Number of pages
18
Pages from-to
3-20
UT code for WoS article
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EID of the result in the Scopus database
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