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Rule-Based Multi-dialect Infrastructure for Conceptual Problem Solving over Heterogeneous Distributed Information Resources

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Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 241)

Abstract

An approach for applying a combination of the semantically different rule-based languages for interoperable conceptual programming over various rule-based systems (RS) and relying on the logic program transformation technique recommended by the W3C Rule Interchange Format (RIF) is presented. Such approach is coherently combined with the heterogeneous data base integration applying semantic rule mediation. The basic functions of the infrastructure implementing the multi-dialect conceptual specifications by the interoperable RS and mediator programs are defined. The references to the detailed description of the infrastructure application for solving complex combinatorial problem are given. The research results show the usability of the approach and of the infrastructure for declarative, resource independent and re-usable data analysis in various application domains.

Keywords

  • conceptual specification
  • RIF
  • logic rule languages
  • database integration
  • mediators
  • BLD
  • CASPD
  • multi-dialect infrastructure
  • rule delegation

This research has been done under the support of the RFBR (project 11-07-00402-) and the Program for Basic Research of the Presidium of RAS.

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Kalinichenko, L., Stupnikov, S., Vovchenko, A., Kovalev, D. (2014). Rule-Based Multi-dialect Infrastructure for Conceptual Problem Solving over Heterogeneous Distributed Information Resources. In: , et al. New Trends in Databases and Information Systems. Advances in Intelligent Systems and Computing, vol 241. Springer, Cham. https://doi.org/10.1007/978-3-319-01863-8_7

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  • DOI: https://doi.org/10.1007/978-3-319-01863-8_7

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01862-1

  • Online ISBN: 978-3-319-01863-8

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