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Theoretical and Architectural Framework for Contextual Modular Knowledge Bases

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 467))

Abstract

The paper presents the approach aimed at building modularized knowledge bases in a systematic, context-aware way. The paper focuses on logical modeling of such knowledge bases, including an underlying SIM metamodel. The architecture of a comprehensive set of tools for knowledgebase systems engineering is presented. The tools enable an engineer to design, create and edit a knowledge base schema according to a novel context approach presented elsewhere by the authors. It is explained how a knowledge base built according to SIM (Structured-Interpretation Model) paradigm is processed by a prototypical reasoner Conglo-S, which is a custom version of widely known Pellet reasoner extended with support for modules of ontologies called tarsets (also introduced elsewhere under the name of conglomerates). The user interface of the system is a plug-in to Protégé ontology editor that is a standard tool for development of Semantic Web ontologies. Possible applications of the presented framework to development of knowledge bases for culture heritage and scientific information dissemination are also discussed.

This work has been partially supported by the Polish National Centre for Research and Development (NCBiR) under Grant No. SP/I/1/77065/10 by the strategic scientific research and experimental development program: ,,Interdisciplinary System for Interactive Scientific and Scientific-Technical Information - SyNaT”.

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Goczyła, K., Waloszek, A., Waloszek, W., Zawadzka, T. (2013). Theoretical and Architectural Framework for Contextual Modular Knowledge Bases. In: Bembenik, R., Skonieczny, L., Rybinski, H., Kryszkiewicz, M., Niezgodka, M. (eds) Intelligent Tools for Building a Scientific Information Platform. Studies in Computational Intelligence, vol 467. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35647-6_18

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  • DOI: https://doi.org/10.1007/978-3-642-35647-6_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35646-9

  • Online ISBN: 978-3-642-35647-6

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