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Closed world assumption for disjunctive reasoning

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Abstract

In this paper, the relationship between argumentation and closed world reasoning for disjunctive information is studied. In particular, the authors propose a simple and intuitive generalization of the closed world assumption (CWA) for general disjunctive deductive databases (with default negation). This semantics called DCWA, allows a natural argumentation-based interpretation and can beused to represent reasoning for disjunctive information. We compare DCWA with GCWA and prove that DCWA extends Minker’s GCWA to the class of disjunctive databases with default negation. Also we compare our semantics with some related approaches. In addition, the computational complexity of DCWA is investigated.

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This work is supported in part by the National Natural Science Foundation of China (No.69883008, No.69773027), and in part by the NKBRSF of China (No.1999032704).

WANG Kewen is an associate professor in the Department of Computer Science, Tsinghua University. His research interests are logic programming, knowledge representation and databases.

ZHOU Lizhu is the head and a professor in the Department of Computer Science, Tsinghua University. His research interests include database systems, Internet data processing, information systems and digital library.

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Wang, K., Zhou, L. Closed world assumption for disjunctive reasoning. J. Comput. Sci. & Technol. 16, 381–387 (2001). https://doi.org/10.1007/BF02948986

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  • DOI: https://doi.org/10.1007/BF02948986

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