PTree: a tool to draw tree for concept relation tree (CRT)
Our research project is currently to develop an Automatic Meaning Extraction (AME) System which automatically extracts concepts and their relationships across texts in all domains of knowledge. Concept Relational Tree (CRT) is one of the text analyzer applications used in the AME System to automatic...
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| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Universiti Utara Malaysia
2008
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| Online Access: | http://psasir.upm.edu.my/id/eprint/59728/1/117-121-CR81.pdf http://psasir.upm.edu.my/id/eprint/59728/ |
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| Summary: | Our research project is currently to develop an Automatic Meaning Extraction (AME) System which automatically extracts concepts and their relationships across texts in all domains of knowledge. Concept Relational Tree (CRT) is one of the text analyzer applications used in the AME System to automatically extract concepts and their relationships in a document. To check on the correctness of the extraction of concepts and their relationships, the PTree is designed to reconstruct the text by reverse input. In this paper we present the PTree tool to test the accuracy of the automatic tagging and tree structure created by CRT from texts. The PTree tool is implemented from Java Universal Network/ Graph Framework (JUNG) libraries. This tool provides a few functions to allow for flexibility in drawing relational trees for concepts. Due to its flexibility and dynamic features, PTree can be further extended for use in the deconstruction of highly complex texts. |
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