Tech Reports
Tech Report kmi-01-14 Abstract
Beyond Rigid KA Metatools: An Initial Proposal for a KR-Independent, Adaptive, Customizable, Ontology-based KA Metatool
Techreport ID: kmi-01-14
Date: 2001
Author(s): Yuangui lei, Enrico Motta and John Domingue
This paper proposes a new knowledge-acquisition metatool, KRIACO, a Web-based, Knowledge Representation Independent, Adaptive, Customizable, Ontology-based Knowledge Acquisition Metatool, which aims to overcome sorts of shortcomings of current knowledge acquisition metatools. To achieve its goal, KRIACO will adopt OKBC as an underlying knowledge representation model to overcome the restriction caused by a specific knowledge representation system. It will use an ontology-driven tool specification approach to specify the domain and the task models; an interface ontology and a declarative interface model to drive the interface design and customization process; adaptive approach to provide flexible, adaptive user interfaces. This paper discusses these approaches in detail and presents the framework of KRIACO.
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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