Tech Reports
Tech Report kmi-01-09 Abstract
Towards a Framework for Acquisition of Design Knowledge
Techreport ID: kmi-01-09
Date: 2001
Author(s): Martin Dzbor and Zdenek Zdrahal
Engineering design is a knowledge-intensive process driven by various design objectives. Design is an iterative process where the objectives evolve together with the solutions in order to deliver an artefact with the desired properties and functions. Many design theories developed so far suggest more or less efficient ways for finding a suitable solution to the given goals. However, they often leave open the issue of 'solution talk-back'. Discovery of new design objectives and amendment of the existing ones is as important as the development of design solutions. The biggest issue with solution talkback is the presence of tacit knowledge in addition to the explicit one. This paper draws on a theory that incorporates some typical features of design problems, and transfers theoretical findings about reflection on the design actions to a tool for acquisition of design knowledge. First, key terms are defined and theoretical framework is introduced. Afterwards we look at the means for capturing explicit and tacit design knowledge more in depth.
Publication(s):
27th Design Automation Conference (part of ASME Design Engineering Technical Conferences), September 2001, Pittsburgh, USA
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
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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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