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CIKM
2009
Springer

Using domain ontology for semantic web usage mining and next page prediction

10 years 6 months ago
Using domain ontology for semantic web usage mining and next page prediction
This paper proposes the integration of semantic information drawn from a web application’s domain knowledge into all phases of the web usage mining process (preprocessing, pattern discovery, and recommendation/prediction). The goal is to have an intelligent semantics-aware web usage mining framework. This is accomplished by using semantic information in the sequential pattern mining algorithm to prune the search space and partially relieve the algorithm from support counting. In addition, semantic information is used in the prediction phase with low order Markov models, for less space complexity and accurate prediction, that will help solve ambiguous predictions problem. Experimental results show that semantics-aware sequential pattern mining algorithms can perform 4 times faster than regular non-semantics-aware algorithms with only 26% of the memory requirement. Categories and Subject Descriptors: H.2.8 [Database Management]: data mining; H.4.2 [Information Systems Applications]: d...
Nizar R. Mabroukeh, Christie I. Ezeife
Added 26 May 2010
Updated 26 May 2010
Type Conference
Year 2009
Where CIKM
Authors Nizar R. Mabroukeh, Christie I. Ezeife
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