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KAIFIA: Knowledge assisted intelligent framework for information access

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

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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.

Item Type:Article
Divisions:Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
ID Code:15120
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

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