Abstract
Recent advances in information system development suggest the use of ontology as a main knowledge management tool. Ontology contains concepts, a hierarchy, arbitrary relations between concepts, and possibly other axioms. However, there are some defects between several kinds of existing ontology construction methods in many aspects. After analyzing and comparing, this paper makes up these defects by applying formal concept analysis and association rule theory to construct concept hierarchies of ontology. This paper puts forward formal concept analysis and association rules applied in ontology learning based on non-structured of source data. The experimental results have shown our suggested ontology-based information system will increase precision and performance.
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© 2011 Springer-Verlag Berlin Heidelberg
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Bai, X., Zhou, X. (2011). Development of Ontology-Based Information System Using Formal Concept Analysis and Association Rules. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23753-9_20
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DOI: https://doi.org/10.1007/978-3-642-23753-9_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23752-2
Online ISBN: 978-3-642-23753-9
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