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O3R: Ontology-based mechanism for a human-centered environment targeted at the analysis of navigation patterns
Authors:Karin Becker  Mariângela Vanzin
Affiliation:1. Information Engineering Department, Universitá Politecnica delle Marche, via Brecce Bianche, 60131 Ancona, Italy;2. Faculty of Mathematics and Computer Science, Eindhoven University of Technology, NL-5600 MB, Eindhoven, The Netherlands;1. Institute of Informatics, Federal University of Rio Grande do Sul – UFRGS, Porto Alegre RS–91501-970 Brazil;2. Institute of Science and Technology, Federal University of São Paulo – UNIFESP, São José dos Campos, SP–12247-014 Brazil;3. Dept. of Botany, São Paulo State University – UNESP, Rio Claro, SP–13506-900 Brazil;4. Institute of Computing, University of Campinas – UNICAMP Campinas, SP–13083-852 Brazil
Abstract:Web Usage Mining (WUM) is the application of data mining techniques over Web server logs in order to extract navigation usage patterns. The analysis of mining patterns for assessing the knowledge they reveal is a critical phase in WUM. The main challenges are: (a) mining algorithms yield a huge number of patterns and (b) there is a significant semantic gap between URLs and events performed by users. In this paper, we describe the pattern analysis mechanisms integrated in O3R (Ontology-based Rules Retrieval and Rummaging), a human-centered environment for the analysis of navigation rules. O3R explores the synergy of mechanisms for retrieving and analyzing patterns. Filtering and clustering allow users to retrieve subsets of patterns with specific characteristics, in order to deal with the large volume of patterns. Rummaging mechanisms are targeted at assessing the meaning and relevance of pattern with regard to the domain, and it is particularly suitable for exploratory analysis. The distinctive feature of O3R is that is dynamically associates meaning to patterns using the concepts and relationships of a domain ontology, as a means of reducing the gap between syntactic URLs and semantic events performed by users. The paper describes the mechanisms in detail, and explores their synergic integration in the O3R prototype. It also reports two case studies that evaluate the use of O3R for the analysis of navigation patterns of a learning site.
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