Semantic Web Usage Mining by a Concept-Based Approach for Off-line Web Site Enhancements

Todays' WUM techniques allow to perform the mining process based on lists of words, stems, and visitors' sessions. Although, results are (generally) far from visitors' real goals or motivations when browsing a web site. Thus, extraction of useful modifications of site organization or...

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Veröffentlicht in:Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01 Jg. 1; S. 234 - 241
Hauptverfasser: Ríos, Sebastián A., Velásquez, Juan D.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: Washington, DC, USA IEEE Computer Society 09.12.2008
IEEE
Schriftenreihe:ACM Conferences
Schlagworte:
Computing methodologies > Artificial intelligence > Knowledge representation and reasoning > Semantic networks
concept-based web usage mining
Costs
Data mining
fuzzy system
Industrial engineering
Information analysis
Information systems > Information retrieval
Information systems > Information storage systems
Information systems > Information systems applications > Data mining
Intelligent agent
Internet
Ontologies
Pattern analysis
Semantic Web
Semantic web usage mining
Web mining
web usage mining
concept-based web usage mining
web usage mining
fuzzy system
Semantic web usage mining
ISBN:9780769534961, 0769534961
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:Todays' WUM techniques allow to perform the mining process based on lists of words, stems, and visitors' sessions. Although, results are (generally) far from visitors' real goals or motivations when browsing a web site. Thus, extraction of useful modifications of site organization or contents are difficult to obtain. It is needed a way to enhance the WUM process, to allow better results, closer to visitors' real preferences and goals. It was developed a Semantic WUM process, which uses a concept-based approach to add semantics into the mining process. The solution proposed, was applied to a real web site to produce off-line enhancements of contents and structure. The method was compared with four different WUM methods. Afterwards, the quality of enhancements was evaluated using a survey to 100 subjects, proving the effectiveness of the proposal.
ISBN:9780769534961
0769534961
DOI:10.1109/WIIAT.2008.406