Tech Reports
Tech Report kmi-95-08 Abstract
Software Visualization Based KBS validation
Techreport ID: kmi-95-08
Date: 1995
Author(s): John Domingue
The validation of a Knowledge Based System (KBS) involves comparisons between an external reference model and a system's component parts. In this paper I describe how such comparisons can be aided by the application of software visualization technology. Software visualization is the use of filmcraft, cartoon animation and graphic design techniques to display data structures, programs, and algorithms. The described approach eases the task of mapping between the comparates by the use of dynamic code, problem solving architecture, and domain oriented visualizations of KBS execution.
Publication(s):
To be presented at: EUROVAV-95 European Symposium on Validation and Verification of Knowledge-based Systems 26-27-28 June 1995 St Baldoph-Chambery, France
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
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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