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Tech Report kmi-99-11 Abstract


Creative designer: What & how? (Intelligent support for problem formalisation in engineering design)
Techreport ID: kmi-99-11
Date: 1999
Author(s): Martin Dzbor
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Engineering design is a kind of human activity that makes use of many different knowledge sources. Basically, this may be a well structured, explicit, and domain specific knowledge or tacit, implicit, and experience-based knowledge. Each type of knowledge has its particular role in design, and thus in knowledge-based design support systems. The aim of this document is to present a new view on the knowledge-based systems supporting design and designers especially in the early phases. Although the design support systems may be described and compared on many different levels, the knowledge-centred view in this document is emphasised by the three facets that describe the proposed approach: design knowledge representation, design process control, and analogous design cases retrieval and presentation.

Publication(s):

this is a revised and extended version of a paper that appeared at the 3rd IEEE Conference on Intelligent Engineering Systems, Slovakia, pp. 279-284
 
KMi Publications Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Multimedia and Information Systems is...


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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