Tech Reports
Tech Report kmi-97-17 Abstract
Reusable Components for Knowledge Modelling
Techreport ID: kmi-97-17
Date: 1997
Author(s): Enrico Motta
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.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Multimedia and Information Systems is...

We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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