About: Learning Semantic Web Usage Profiles by Using Genetic Algorithms

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://ijits-bg.com/
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 visitor interests. 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 integrate scoring 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 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 visitor interests. 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 integrate scoring 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 (en)
Title	Learning Semantic Web Usage Profiles by Using Genetic Algorithms Learning Semantic Web Usage Profiles by Using Genetic Algorithms (en)
skos:prefLabel	Learning Semantic Web Usage Profiles by Using Genetic Algorithms Learning Semantic Web Usage Profiles by Using Genetic Algorithms (en)
skos:notation	RIV/68407700:21240/11:00184153!RIV12-MSM-21240___
http://linked.open...avai/riv/aktivita	S Z
http://linked.open...avai/riv/aktivity	S, Z(MSM6840770014)
http://linked.open...iv/cisloPeriodika	4
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Kuchař, Jaroslav
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta informačních technologií
http://linked.open...dnocenehoVysledku	209133
http://linked.open...ai/riv/idVysledku	RIV/68407700:21240/11:00184153
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	semantics; scoring pageviews; clickstream; data mining; symbolic regression (en)
http://linked.open.../riv/klicoveSlovo	clickstream scoring pageviews data mining semantics symbolic regression
http://linked.open...odStatuVydavatele	BG - Bulharská republika
http://linked.open...ontrolniKodProRIV	[D7E928945B27]
http://linked.open...i/riv/nazevZdroje	International Journal on Information Technologies and Security
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2011
http://linked.open...v/svazekPeriodika	3
http://linked.open...iv/tvurceVysledku	Jelínek, Ivan Kuchař, Jaroslav
http://linked.open...n/vavai/riv/zamer	Výzkum perspektivních informačních a komunikačních technologií
issn	1313-8251
number of pages	18 (xsd:int)
http://localhost/t...ganizacniJednotka	21240

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