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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

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

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • 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

  • 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

  • EID of the result in the Scopus database