On reducing redundancy in mining relational association rules from the semantic web

Joanna Józefowska; Agnieszka Ławrynowicz; Tomasz Łukaszewski

doi:10.1007/978-3-540-88737-9_16

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Title

On reducing redundancy in mining relational association rules from the semantic web

Authors

Joanna Józefowska ^{[ 1 ][ P ]}
Agnieszka Ławrynowicz ^{[ 1 ][ P ]}
Tomasz Łukaszewski ^{[ 1 ][ P ]}

^{[ 1 ]} Instytut Informatyki (II), Wydział Informatyki i Zarządzania, Politechnika Poznańska | ^{[ P ]} employee

Year of publication

2008

Chapter type

paper

Publication language

english

Abstract

EN 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.

Pages (from - to)

205 - 213

DOI

10.1007/978-3-540-88737-9_16

URL

https://link.springer.com/chapter/10.1007/978-3-540-88737-9_16

Book

Web Reasoning and Rule Systems : Second International Conference, RR 2008, Karlsruhe, Germany, October 31-November 1, 2008 : Proceedings

Presented on

2nd International Conference on Web Reasoning and Rule Systems, RR 2008, 31.10.2008 - 01.11.2008, Karlsruhe, Germany

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