KAIFIA: Knowledge Assisted Intelligent Framework for Information Access

Authors:
Atta Badii;Chattun Lallah;Oleksandr Kolomiyets;Meng Zhu;Michael Crouch
Affiliations:
IMSS, Intelligent Media Systems and Services Research Centre, School of Systems Engineering, University of Reading,;IMSS, Intelligent Media Systems and Services Research Centre, School of Systems Engineering, University of Reading,;IMSS, Intelligent Media Systems and Services Research Centre, School of Systems Engineering, University of Reading,;IMSS, Intelligent Media Systems and Services Research Centre, School of Systems Engineering, University of Reading,;IMSS, Intelligent Media Systems and Services Research Centre, School of Systems Engineering, University of Reading,
Venue:
Scaling Topic Maps
Year:
2008

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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.