Modular Ontology Reuse Based on Conservative Extension Theory
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National Natural Science Foundation of China (61272066); Program for New Century Excellent Talents in University of Ministry of Education of China (NCET-12-0644); Program for Science and Technology of Guangzhou (2014J4100031, 201604010098); Project for Guangxi Key Laboratory of Trusted Software (Guilin University of Electronic Technology) (KX201419)

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    Abstract:

    In this paper, the current research progresses of ontology reuse is reviewed and the issue that current ontology reuse algorithms can merely be applied to a single independent ontology is addressed. Focusing on the modular ontologies with ε-Connections language, the IKMO (integrity of knowledge about the module in an ontology) is presented based on the theory of conservative extension. The related properties of IKMO are proved. Further, an algorithm for the ontology reuse with the conservative extension ERMMO (extracting reused modules from modular ontologies) is provided. The features and conditions of two sub-algorithms of ERMMO are discussed. Lastly, the feasibility and soundness of ERMMO are analyzed and verified. ERMMO is a generalization of the current reuse algorithms based on conservative extension theory, and can be served as the guidelines for reuse of modular ontologies.

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李璞,蒋运承,王驹.基于保守扩充理论的模块化本体重用.软件学报,2016,27(11):2777-2795

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History
  • Received:April 29,2015
  • Revised:August 24,2015
  • Adopted:
  • Online: November 02,2016
  • Published:
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