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Dissecting the Ambiguity of FMA Concept Names Using Taxonomy and Partonomy Structural Information

The complex inner structures of concept names in the Foundational Model of Anatomy (FMA) remain an obstacle for further analyzing the ontology using lexical methods. A very common problem is the ambiguity lying in names with the sometimes multiple occurrences of the preposition “of.” In this paper,...

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Detalles Bibliográficos
Autores principales: Luo, Lingyun, Xu, Rong, Zhang, Guo-Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Informatics Association 201
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3845762/
https://www.ncbi.nlm.nih.gov/pubmed/24303256
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author Luo, Lingyun
Xu, Rong
Zhang, Guo-Qiang
author_facet Luo, Lingyun
Xu, Rong
Zhang, Guo-Qiang
author_sort Luo, Lingyun
collection PubMed
description The complex inner structures of concept names in the Foundational Model of Anatomy (FMA) remain an obstacle for further analyzing the ontology using lexical methods. A very common problem is the ambiguity lying in names with the sometimes multiple occurrences of the preposition “of.” In this paper, we propose an automatic method to help disambiguating FMA terms by leveraging the taxonomy and partonomy information. If a sub-phrase of a concept name also appears in its parents, it is likely to occur as a sub-tree in its parse tree, hence should be parsed as such. We classified all the concept names with a single occurrence of the preposition “of” by the appearances of their sub-phrases in the parent names using three test suites. Results show that more than 90% of them can be provided with useful information to assist their correct parsing.
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spelling pubmed-38457622013-12-03 Dissecting the Ambiguity of FMA Concept Names Using Taxonomy and Partonomy Structural Information Luo, Lingyun Xu, Rong Zhang, Guo-Qiang AMIA Jt Summits Transl Sci Proc Articles The complex inner structures of concept names in the Foundational Model of Anatomy (FMA) remain an obstacle for further analyzing the ontology using lexical methods. A very common problem is the ambiguity lying in names with the sometimes multiple occurrences of the preposition “of.” In this paper, we propose an automatic method to help disambiguating FMA terms by leveraging the taxonomy and partonomy information. If a sub-phrase of a concept name also appears in its parents, it is likely to occur as a sub-tree in its parse tree, hence should be parsed as such. We classified all the concept names with a single occurrence of the preposition “of” by the appearances of their sub-phrases in the parent names using three test suites. Results show that more than 90% of them can be provided with useful information to assist their correct parsing. American Medical Informatics Association 2013 -03- 18 /pmc/articles/PMC3845762/ /pubmed/24303256 Text en ©2013 AMIA - All rights reserved.
spellingShingle Articles
Luo, Lingyun
Xu, Rong
Zhang, Guo-Qiang
Dissecting the Ambiguity of FMA Concept Names Using Taxonomy and Partonomy Structural Information
title Dissecting the Ambiguity of FMA Concept Names Using Taxonomy and Partonomy Structural Information
title_full Dissecting the Ambiguity of FMA Concept Names Using Taxonomy and Partonomy Structural Information
title_fullStr Dissecting the Ambiguity of FMA Concept Names Using Taxonomy and Partonomy Structural Information
title_full_unstemmed Dissecting the Ambiguity of FMA Concept Names Using Taxonomy and Partonomy Structural Information
title_short Dissecting the Ambiguity of FMA Concept Names Using Taxonomy and Partonomy Structural Information
title_sort dissecting the ambiguity of fma concept names using taxonomy and partonomy structural information
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3845762/
https://www.ncbi.nlm.nih.gov/pubmed/24303256
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