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Tech Report kmi-95-02 Abstract


The Trouble with What: Issues in method-independent task specifications
Techreport ID: kmi-95-02
Date: 1995
Author(s): Enrico Motta and Zdenek Zdrahal
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In this paper we discuss some issues concerning the organization of knowledge for reuse and we critically examine the ideas of knowledge separation and minimal ontological commitments.. Because knowledge structures can play multiple roles in a domain, it is not necessarily the case that search-control knowledge can be neatly separated from a domain ontology. This is particularly the case when only procedural descriptions of a task are available. Because expert knowledge is often `messy', clean separation of knowledge can be obtained only by removing the `troublesome' structures. However, we believe that this approach does not pay off in terms of reusability. Less knowledge means less reusability. We argue that a different approach to developing reusable ontologies is needed, which does not impose `strict' separation of knowledge, emphasizes the underlying assumptions about the available domain expertise, and does not trade knowledge for `formal purity'. These ideas are discussed in the context of the VT elevator design problem.

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Accepted for publication at the ninth Knowledge Acquisition for Knowledge-Based Systems Workshop, Banff Canada, February 26-March 3, 1995.
 
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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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