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. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Badii, A., Lallah, C., Kolomiyets, O., Zhu, M., & Crouch, M. (2008). KAIFIA: Knowledge assisted intelligent framework for information access. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4999 LNAI, pp. 226–236). https://doi.org/10.1007/978-3-540-70874-2_21
Mendeley helps you to discover research relevant for your work.