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General Information
    • ISSN: 2301-3559
    • Frequency: Quarterly
    • DOI: 10.18178/LNSE
    • Editor-in-Chief: Prof. Jemal Antidze
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), DOAJ, Electronic Journals Library, Engineering & Technology Digital Library, Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest and Google Scholar.
    • E-mail: lnse@ejournal.net
Editor-in-chief
Prof. Jemal Antidze
I. Vekua Scientific Institute of Applied Mathematics
Tbilisi State University, Georgia
I'm happy to take on the position of editor in chief of LNSE. We encourage authors to submit papers concerning any branch of Software Engineering.

LNSE 2016 Vol.4(1): 66-72 ISSN: 2301-3559
DOI: 10.7763/LNSE.2016.V4.225

Encapsulation-Driven Approach to Interchange of Knowledge Base Structure

Krzysztof Kaczor and Grzegorz J. Nalepa
Abstract—Rules provide an efficient way of decision modeling. This is why they are commonly used in knowledge based decision support systems as knowledge representation method. During the years, many different rule representations providing different syntax, semantics and expressive power have been developed. Therefore, the problem of efficient rule interoperability became very challenging. Differences between existing rule representations can also be noticed in the context of knowledge base structure and cannot be omitted by interoperability methods. This paper discusses how the representation-specific structure of the decision process can be expressed in other representations with the help of knowledge encapsulation mechanism.

Index Terms—Semantic rule interoperability, knowledge structure, decision support systems, rule-based systems.

The authors are with AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Krakow, Poland (e-mail: kk@agh.edu.pl, gjn@agh.edu.pl).

[PDF]

Cite: Krzysztof Kaczor and Grzegorz J. Nalepa, "Encapsulation-Driven Approach to Interchange of Knowledge Base Structure," Lecture Notes on Software Engineering vol. 4, no. 1, pp. 66-72, 2016.

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