On Reducing Redundancy in Mining Relational Association Rules from the Semantic Web

Authors:
Joanna Józefowska;Agnieszka Ławrynowicz;Tomasz Łukaszewski
Affiliations:
Institute of Computing Science, Poznan University of Technology, Poznan, Poland 60-965;Institute of Computing Science, Poznan University of Technology, Poznan, Poland 60-965;Institute of Computing Science, Poznan University of Technology, Poznan, Poland 60-965
Venue:
RR '08 Proceedings of the 2nd International Conference on Web Reasoning and Rule Systems
Year:
2008

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Abstract

In this paper we discuss how to reduce redundancy in the process and in the results of mining the Semantic Web data. In particular, we argue that the availability of the domain knowledge should not be disregarded during data mining process. As the case study we show how to integrate the semantic redundancy reduction techniques into our approach to mining association rules from the hybrid knowledge bases represented in OWL with rules.