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Tech Report kmi-99-10 Abstract


Knowledge-intensive design support: An enquiry into the role of the ontologies and analogous thinking in design support
Techreport ID: kmi-99-10
Date: 1999
Author(s): Martin Dzbor
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This literature review builds a base for the further research of knowledge-intensive approach for the design problem formalisation. Engineering design is in general a complex activity; therefore, the document will focus on one specific part of the design process, namely the problem formalisation. The review discusses the following points: (i) various approaches to design and nature of design tasks; (ii) knowledge modelling research and its place in design support; and (iii) implications drawn from the nature of design tasks and knowledge modelling toward intelligent design support.

Publication(s):

as literature and state-of-the-art review
 
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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