Semantically Enriched Event Based Model for Web Usage Mining

Date

2010-12-14

Author

Soztutar, Enis
Toroslu, İsmail Hakkı
Bayir, Murat Ali

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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With the increasing use of dynamic page generation, asynchronous page loading (AJAX) and rich user interaction in the Web, it is possible to capture more information for web usage analysis. While these advances seem a great opportunity to collect more information about web user, the complexity of the usage data also increases. As a result, traditional page-view based web usage mining methods have become insufficient to fully understand web usage behavior. In order to solve the problems with current approaches our framework incorporates semantic knowledge in the usage mining process and produces semantic event patterns from web usage logs. In order to model web usage behavior at a more abstract level, we define the concept of semantic events, event based sessions and frequent event patterns.

Subject Keywords

Web usage mining, Semantic web usage mining, Semantic events, Event mining, Apriori

URI

https://hdl.handle.net/11511/55167

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

E. Soztutar, İ. H. Toroslu, and M. A. Bayir, “Semantically Enriched Event Based Model for Web Usage Mining,” 2010, vol. 6488, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55167.