Knowledge discovery from texts: A concept frame graph approach
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 fr...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2002
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| Subjects: | |
| 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 |
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| Institution: | Singapore Management University |
| Language: | English |
| Summary: | 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. |
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