Abstract
Web Usage Mining (WUM) is the application of data mining techniques over web server logs in order to extract navigation usage patterns. Identifying the relevant and interesting patterns, and to understand what knowledge they represent in the domain is the goal of the Pattern Analysis phase, one of the phases of the WUM process. Pattern analysis is a critical phase in WUM due to two main reasons: a) mining algorithms yield a huge number of patterns; b) there is a significant semantic gap between URLs and events performed by users. In this paper, we discuss an ontology-based approach to support the analysis of sequential navigation patterns, discussing the main features of the O3R (Ontology-based Rules Retrieval and Rummaging) prototype. O3R functionality is targeted at supporting the comprehension of patterns through interactive pattern rummaging, as well as on the identification of potentially interesting ones. All functionality is based on the availability of the domain ontology, which dynamically provides meaning to URLs. The paper provides an overall view of O3R, details the rummaging functionality, and discusses preliminary results on the use of O3R.
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Vanzin, M., Becker, K. (2006). Ontology-Based Rummaging Mechanisms for the Interpretation of Web Usage Patterns. In: Ackermann, M., et al. Semantics, Web and Mining. EWMF KDO 2005 2005. Lecture Notes in Computer Science(), vol 4289. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11908678_12
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DOI: https://doi.org/10.1007/11908678_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-47697-9
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