Knowledge discovery from texts: a concept frame graph approach

Authors:
Kanagasabai Rajaraman;Ah-Hwee Tan
Affiliations:
Laboratories for Information Technology, Singapore;Laboratories for Information Technology, Singapore
Venue:
Proceedings of the eleventh international conference on Information and knowledge management
Year:
2002

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Abstract

We address the text content mining problem through a concept based framework by constructing a conceptual knowledge base and discovering knowledge therefrom. Defining a novel representation called the Concept Frame Graph (CFG), we propose a learning algorithm for constructing a CFG knowledge base from text documents. An interactive concept map visualization technique is presented for user-guided knowledge discovery from the knowledge base. Through experimental studies on real life documents, we observe that the proposed approach is promising for mining deeper knowledge.