An interoperative environment for developing expert systems

Noriaki Izumi, Akira Maruyama, Atsuyuki Suzuki, Takahira Yamaguchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


This paper proposes the interoperation environment which enables an expert system to get information available to improve its performance from others. First, we have given a method library of reusable templates in order to provide a correspondence between specification and implementation of inference structures. Next, a cooperation method has been presented, using the difference arising in the context of the correspondence between inference primitives of an originator and those of recipients. The wrapper with conversion facilities has been also provided, using a common domain ontology developed manually. After designing and implementing such an interoperation environment, experiments have been done among four heterogeneous expert systems. Furthermore, it has been shown that an expert system finds a way to perform a given task better by the interoperation with other three expert systems.

Original languageEnglish
Title of host publicationKnowledge Acquisition, Modeling and Management - 11th European Workshop, EKAW 1999, Proceedings
EditorsDieter Fensel, Rudi Studer
PublisherSpringer Verlag
Number of pages6
ISBN (Print)3540660445, 9783540660446
Publication statusPublished - 1999
Externally publishedYes
Event11th European Workshop on Knowledge Acquisition, Modeling, and Management, EKAW 1999 - Dagstuhl Castle, Germany
Duration: 1999 May 261999 May 29

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other11th European Workshop on Knowledge Acquisition, Modeling, and Management, EKAW 1999
CityDagstuhl Castle

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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