Tech Reports
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
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.
Publication(s):
Accepted for publication at the ninth Knowledge Acquisition for Knowledge-Based Systems Workshop, Banff Canada, February 26-March 3, 1995.
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.
List all Semantic Web and Knowledge Services Projects
Check out these Hot Semantic Web and Knowledge Services Technologies:
List all Semantic Web and Knowledge Services Technologies
