Modeling with Rules Using Semantic Knowledge Engineering

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Details

Provides an academic, yet practical perspective on knowledge engineering with rule-based systems

Systematically presents the author's research results in the area of intelligent rule-based systems

Focuses on the semantic knowledge engineering (SKE) approach

Is enriched with selected examples of intelligent system design


Autorentext


Inhalt
Part I Domain of Rule-Based Systems.- Rules as a Knowledge Representation Paradigm.- Knowledge Engineering with Rules.- Selected Applications of Rule.- Part II Formal Models for Rules.- Formalism for Description of Decision Rules.- Formalized Integration of Rules and Processes.- Prototyping Structure of Rule Bases.- Handling Uncertainty in Rules.- Formalizing Interoperability in Rule Bases.- Part III Practical Studies in Semantic Knowledge Engineering.- Semantic Knowledge Engineering Approach.- Rule Interoperability with Expert System Shells.- Visual Software Modeling with Rules.- Using Rules to Support Software Testing.- Integrating Business Process Models with Rules.- Rule-Based Systems and Semantic Web.- Collaborative Knowledge Engineering with Wikis.- Designing Robot Control Logic with Rules.- Rules in Mobile Context-Aware Systems.- Index.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319666549
    • Anzahl Seiten 435
    • Lesemotiv Verstehen
    • Genre Technology
    • Auflage 1st ed. 2018
    • Sprache Englisch
    • Herausgeber Springer
    • Gewicht 801g
    • Untertitel Intelligent Systems Reference Library 130
    • Größe H260mm x B148mm x T31mm
    • Jahr 2017
    • EAN 9783319666549
    • Format Fester Einband
    • ISBN 978-3-319-66654-9
    • Titel Modeling with Rules Using Semantic Knowledge Engineering
    • Autor Grzegorz J. Nalepa

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