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Tech Report kmi-96-05 Abstract


Parametric Design Problem Solving
Techreport ID: kmi-96-05
Date: 1996
Author(s): Enrico Motta and Zdenek Zdrahal
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The aim of this paper is to understand what is involved in parametric design problem solving. In order to achieve this goal, in this paper i) we identify and detail the conceptual elements defining a parametric design task specification; ii) we illustrate how these elements are interpreted and operationalised during the design process; and iii) we formulate a generic model of parametric design problem solving. We then re-describe a number of problem solving methods in terms of the proposed generic model and we show that such a re-description enables us to provide a more precise account of the different competence behaviours expressed by the methods in question.

Publication(s):

To be presented at the 10th Knowledge Acquisition for Knowledge-Based Systems Workshop, Banff Canada, November 1996.
 
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Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

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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