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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Semantic Web and Knowledge Services is...
Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...
Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.
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