Abstract
It is indubitable that we can obtain numerous discovered patterns using a Web mining model. However, there are many meaningless patterns, and also some discovered patterns might include uncertainties as well. Therefore, the difficult problem is how to utilize and maintain the discovered patterns for the effectiveness of using the Web data. This paper presents a Web data mining and reasoning model for this problem. The objective of mining is automatic ontology extraction; whereas, the objective of reasoning is the utilization and maintenance of discovered knowledge on the ontology. The model also deals with pattern evolution.
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© 2004 Springer-Verlag Berlin Heidelberg
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Li, Y., Zhong, N. (2004). Web Data Mining and Reasoning Model. In: Webb, G.I., Yu, X. (eds) AI 2004: Advances in Artificial Intelligence. AI 2004. Lecture Notes in Computer Science(), vol 3339. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30549-1_112
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DOI: https://doi.org/10.1007/978-3-540-30549-1_112
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24059-4
Online ISBN: 978-3-540-30549-1
eBook Packages: Computer ScienceComputer Science (R0)