Tech Report

Reusable Components for Knowledge Modelling

This book addresses issues of knowledge modelling and reuse.What is the appropriate framework for modelling intelligent problem solving? How best to model reusable knowledge resources? How should libraries of reusable components be organized? I try to answer these questions by describing a comprehensive approach to the specification, organization, configuration and use of reusable components for knowledge models. Hence, the book addresses both theoretical and engineering issues. It proposes a clear theoretical basis to clarify the nature of problem solving methods, but at the same time it shows how to structure practical libraries of reusable components and use them in application development. The general ideas concerning modelling and reuse presented in this book are instantiated in the area of parametric design and, as a result, the book also proposes a number of specific design technologies. These include a characterization (task ontology) of the class of parametric design problems, a generic model of parametric design problem solving and a number of specific problem solving methods for parametric design. Finally, the book also illustrates how to apply these reusable components to develop executable application models in the domains of elevator configuration and office allocation.

Publication(s)

IOS Press, Amsterdam, The Netherlands, October 1999.

ID: kmi-97-17

Date: 1997

Author(s): Enrico Motta

Resources:

View By

Other Publications

Latest Seminar
Dr Joseph Kwarteng
Knowledge Media Institute, The Open University

Understanding Misogynoir Online: Challenges in Identifying Intersectional Hate Speech

Watch the live webcast

CONTACT US

Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
MK7 6AA
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support

COMMENT

If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team