A Query Processing Method for Amalgamated Knowledge Bases
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概要
- 論文の詳細を見る
We propose a query processing method for amalgamated knowledge bases. Our query processing method is an extension of the magic sets technique for query processing in amalgamated knowledge bases, augmented with the capabilities of handling amalgamated atoms. Through rewriting rules in a given amalgamated knowledge base, our method offers the advantages associated with top-down as well as bottom-up evaluation. We discuss how to handle amalgamated atoms, consider how to check whether an amalgamated atom is satisfiable in a fact set and how to extend a fact set by inserting an amalgamated atom. We also give the transformation procedures for amalgamated knowledge databases and show the correctness of our method.
- 社団法人電子情報通信学会の論文
- 1999-08-25
著者
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Nakamura Tsuyoshi
Department of Nutrition and Health Science, Fukuoka Women’s University
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Nakamura Tsuyoshi
Nagoya Institute Of Technology
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Itoh H
Nagoya Inst. Technol.
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Itoh Hidenori
Department Of Electronic Engineering Technical College Tokushima University
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CHAO Yuyan
Faculty of Environment, Information and Business, Nagoya Sangyo University
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HE Lifeng
Faculty of Information Science and Technology, Aichi Prefectural University
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HE Lifeng
Aichi Prefectural University
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CHAO Yuyan
Graduate School of Human Information, Nagoya University
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SEKI Hirohisa
Department of Intelligence and Computer Science, Nagoya Institute of Technology
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Seki Hirohisa
Dept. of AI and Computer Science Nagoya Institute of Technology
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Chao Yuyan
Graduate School Of Human Information Nagoya University
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Seki Hirohisa
Itoh Laboratory Department Of Intelligence And Computer Science Nagoya Institute Of Technology
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Itoh Hidenori
Itoh Laboratory Department Of Intelligence And Computer Science Nagoya Institute Of Technology
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Itoh Hidenori
Department Of Artificial Intelligence And Computer Science Nagoya Institute Of Technology
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Nakamura Tsuyoshi
Department Of Applied Physics Fukui University
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Ito Hidenori
Department Of Bioapplied Chemistry Osaka City University
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ITOH Hidenori
Department of AI and Computer Science, Nagoya Institute of Technology
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Ito Hidenori
Department of Computer Science and Engineering, Nagoya Institute of Technology
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CHAO Yuyan
Graduate School of Environment Management, Nagoya Sangyo University
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