Tech Reports
Tech Report kmi-93-02 Abstract
The Emerging VITAL Workbench
Techreport ID: kmi-93-02
Date: 1993
Author(s): John Domingue, Enrico Motta and Stuart Watt
VITAL is a research and development project which aims to provide methodological and software support for developing large, embedded KBS applications. VITAL is novel in that its ambition is to develop a methodology-based workbench covering the whole KBS life-cycle, from requirements specification to implementation, and to integrate and deploy a number of techniques drawn from artificial intelligence, as well as software engineering and human-computer interaction fields of research. In this paper we report on the current state of the VITAL workbench, and in particular we discuss the general design choices we took concerning the overall infrastructure, user interface, data and control integration, and tool management. Moreover, we'll describe in some detail the important role that some advanced software technologies - such as groupware and software visualization - have played in the design and implementation of the workbench.
Publication(s):
This paper appeared in Aussenac, N., Boy, G., Gaines, B., Linster, M., Ganascia, J.-G. & Kodratoff, Y. (eds) Knowledge Acquisition for Knowledge-Based Systems 7th European Workshop, EKAW'93 Toulouse and Caylus, France, September, 1993, pp. 320-339, Springer-Verlag.
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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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