Effectiveness of UMLS semantic network as a seed ontology for medical domain ontology building.

The goals of building this ontology are to determine the effectiveness of UMLS in predicting the extracted concept relationships and consequently enrich the seed ontology based on the extracted concept and semantic relationships. The UMLS semantic network is an extensive knowledge source that is use...

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Bibliographic Details
Main Author: Neoh, Hock Leng.
Other Authors: Na, Jin Cheon
Format: Thesis
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/1629
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author Neoh, Hock Leng.
author2 Na, Jin Cheon
author_facet Na, Jin Cheon
Neoh, Hock Leng.
author_sort Neoh, Hock Leng.
collection NTU
description The goals of building this ontology are to determine the effectiveness of UMLS in predicting the extracted concept relationships and consequently enrich the seed ontology based on the extracted concept and semantic relationships. The UMLS semantic network is an extensive knowledge source that is useful in the medical domain. However, it was found that information extraction using UMLS concepts and semantic types were not sufficient to predict the relationships. This is due to the fact that only half of the semantic relationships extracted hold true based on UMLS. In addition, some semantic types in UMLS were found to be too general and its definitions are too broad. Therefore, subclasses are created to have a more specific categorization of two of the semantic types. In general, the effectiveness of the UMLS knowledge source could be further enhanced with the above findings. The generated ontology is hoped to be used as a domain knowledge base for medical digital library application. In addition, it would provide faster retrieval of relevant and useful information for treatment of colon cancer.
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spelling ntu-10356/16292019-12-10T13:57:14Z Effectiveness of UMLS semantic network as a seed ontology for medical domain ontology building. Neoh, Hock Leng. Na, Jin Cheon Wee Kim Wee School of Communication and Information DRNTU::Library and information science::Libraries::Information retrieval and analysis The goals of building this ontology are to determine the effectiveness of UMLS in predicting the extracted concept relationships and consequently enrich the seed ontology based on the extracted concept and semantic relationships. The UMLS semantic network is an extensive knowledge source that is useful in the medical domain. However, it was found that information extraction using UMLS concepts and semantic types were not sufficient to predict the relationships. This is due to the fact that only half of the semantic relationships extracted hold true based on UMLS. In addition, some semantic types in UMLS were found to be too general and its definitions are too broad. Therefore, subclasses are created to have a more specific categorization of two of the semantic types. In general, the effectiveness of the UMLS knowledge source could be further enhanced with the above findings. The generated ontology is hoped to be used as a domain knowledge base for medical digital library application. In addition, it would provide faster retrieval of relevant and useful information for treatment of colon cancer. Master of Science (Information Studies) 2008-09-10T08:34:52Z 2008-09-10T08:34:52Z 2005 2005 Thesis http://hdl.handle.net/10356/1629 Nanyang Technological University application/pdf
spellingShingle DRNTU::Library and information science::Libraries::Information retrieval and analysis
Neoh, Hock Leng.
Effectiveness of UMLS semantic network as a seed ontology for medical domain ontology building.
title Effectiveness of UMLS semantic network as a seed ontology for medical domain ontology building.
title_full Effectiveness of UMLS semantic network as a seed ontology for medical domain ontology building.
title_fullStr Effectiveness of UMLS semantic network as a seed ontology for medical domain ontology building.
title_full_unstemmed Effectiveness of UMLS semantic network as a seed ontology for medical domain ontology building.
title_short Effectiveness of UMLS semantic network as a seed ontology for medical domain ontology building.
title_sort effectiveness of umls semantic network as a seed ontology for medical domain ontology building
topic DRNTU::Library and information science::Libraries::Information retrieval and analysis
url http://hdl.handle.net/10356/1629
work_keys_str_mv AT neohhockleng effectivenessofumlssemanticnetworkasaseedontologyformedicaldomainontologybuilding