Abstract
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.
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Badii, A., Lallah, C., Kolomiyets, O., Zhu, M., Crouch, M. (2008). KAIFIA: Knowledge Assisted Intelligent Framework for Information Access. In: Maicher, L., Garshol, L.M. (eds) Scaling Topic Maps. TMRA 2007. Lecture Notes in Computer Science(), vol 4999. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70874-2_21
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DOI: https://doi.org/10.1007/978-3-540-70874-2_21
Publisher Name: Springer, Berlin, Heidelberg
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