Mining Implied Semantics of Database

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Abstract:

To mine richer semantics from relational database data, method of mining was discussed. Aiming at specific type of semantics, thirteen rules were proposed. Applying these rules some implied semantics was found naturally. The research shows that these rules have good maneuverability and high efficiency.

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38-41

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September 2011

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[1] Zhenxin Qu, Shengqun Tang. Deep Semantic Integration for Information System. CINC2009, 2009. 6. pp.292-295.

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[2] Zhenxin Qu. Semantic web and interoperation of e-government systems. Wuhan: Hubei science and technology press, (2010).

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[3] T. R. Gruber, A translation approach to portable ontologies, Knowledge Acquisition, 5(2): 199-220, (1993).

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[4] Zhenxin Qu, Shengqun Tang. Research on Transforming Relational Database into Enriched Ontology. ICACTE2008, 2008. 12. pp.749-753.

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