Knowledge discovery from texts: A concept frame graph approach

• Main Authors: RAJARAMAN, Kanagasabai, TAN, Ah-hwee
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2002
• Subjects: Text mining; knowledge extraction; concept mapping; information visualization; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/6781; https://ink.library.smu.edu.sg/context/sis_research/article/7784/viewcontent/10.1.1.460.3337.pdf
• Institution: Singapore Management University

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.