MERAL Myanmar Education Research and Learning Portal
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Representation of Ontology-Based Biological Information Extraction
http://hdl.handle.net/20.500.12678/0000000808
http://hdl.handle.net/20.500.12678/0000000808d792fb01-aa35-415a-a6d9-d92ee2f23fa0
13dbc323-0d6b-44a3-bfde-1fcf843ec3b5
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Journal article | ||||||
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Publication | ||||||
Title | ||||||
Title | Representation of Ontology-Based Biological Information Extraction | |||||
Language | en | |||||
Publication date | 2015 | |||||
Authors | ||||||
Khin Myo Sett | ||||||
Nwe Nwe Win | ||||||
Description | ||||||
An information extraction (IE) system has been developed by using ontology for extracting biological information. Ontologies in IE may provide new techniques for supporting open tasks of semantic analyses regarding for instance temporal analyses, resolution of contradiction, or context awareness. The system uses knowledge representation techniques for extracting information. Graph-based representation of data can result in effective and scalable methods for information extraction. |
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Keywords | ||||||
Information extraction | ||||||
Identifier | https://umoar.mu.edu.mm/handle/123456789/321 | |||||
Journal articles | ||||||
3 | ||||||
Journal of the Myanmar Academy of arts and science | ||||||
xiii | ||||||
Conference papaers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |