Badii, A., Lallah, C., Kolomiyets, O., Zhu, M. and Crouch, M. (2008) KAIFIA: Knowledge assisted intelligent framework for information access. Lecture Notes in Artificial Intelligence, 4999. pp. 226-236. ISSN 0302-9743 978-3-540-70873-5
Abstract/Summary
Accessing information, which is spread across multiple sources, in a structured and connected way, is a general problem for enterprises. A unified structure for knowledge representation is urgently needed to enable integration of heterogeneous information resources. Topic Maps seem to be a solution for this problem. The Topic Map technology enables connecting information, through concepts and relationships, and their occurrences across multiple systems. In this paper, we address this problem by describing a framework built on topic maps, to support the current need of knowledge management. New approaches for information integration, intelligent search and topic map exploration are introduced within this framework.
| Additional Information | Proceedings Paper 3rd International Conference on Topic Maps Research and Applications Scaling Topic Maps OCT 11-12, 2007 Leipzig, GERMANY |
| Item Type | Article |
| URI | https://reading-clone.eprints-hosting.org/id/eprint/15120 |
| Refereed | Yes |
| Divisions | Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science |
| Uncontrolled Keywords | knowledge representation, knowledge discovery, information retrieval, Topic Maps, natural language processing, WEB |
| Additional Information | Proceedings Paper 3rd International Conference on Topic Maps Research and Applications Scaling Topic Maps OCT 11-12, 2007 Leipzig, GERMANY |
| Download/View statistics | View download statistics for this item |
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