Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
11-2002
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.
Keywords
Text mining, knowledge extraction, concept mapping, information visualization
Discipline
Databases and Information Systems
Research Areas
Data Science and Engineering
Publication
Proceedings of the 11th International Conference on Information and Knowledge Management (CIKM'02), McLean, Virginia, 2002 November 4-9
First Page
669
Last Page
671
Identifier
10.1145/584792.584914
Publisher
ACM
City or Country
McLean, VA, USA
Citation
RAJARAMAN, Kanagasabai and TAN, Ah-hwee.
Knowledge discovery from texts: A concept frame graph approach. (2002). Proceedings of the 11th International Conference on Information and Knowledge Management (CIKM'02), McLean, Virginia, 2002 November 4-9. 669-671.
Available at: https://ink.library.smu.edu.sg/sis_research/6781
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.