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A methodology for biomedical ontology reuse: from Natural Language Processing and Information Systems : 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Salford, UK, June 22-24, 2016, Proceedings

Zulkarnain, NZ and Meziane, F 2016, 'A methodology for biomedical ontology reuse: from Natural Language Processing and Information Systems : 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Salford, UK, June 22-24, 2016, Proceedings' , Lecture Notes in Computer Science, 9612 , pp. 3-14.

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Abstract

The abundance of biomedical ontologies is beneficial to the development of biomedical related systems. However, existing biomedical ontologies such as the National Cancer Institute Thesaurus (NCIT), Foundational Model of Anatomy (FMA) and Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT) are often too large to be implemented in a particular system and cause unnecessary high usage of memory and slow down the system’s processing time. Developing a new ontology from scratch just for the use of a particular system is deemed as inefficient since it requires additional time and causes redundancy. Thus, a potentially better method is by reusing existing ontologies. However, currently there are no specific methods or tools for reusing ontologies. This paper aims to provide readers with a step by step method in reusing ontologies together with the tools that can be used to ease the process.

Item Type: Article
Schools: Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre (SIRC)
Journal or Publication Title: Lecture Notes in Computer Science
Publisher: Springer-Verlag Berlin Heidelberg
ISSN: 0302-9743
Related URLs:
Funders: Non funded research
Depositing User: Prof Farid Meziane
Date Deposited: 24 Jun 2016 14:01
Last Modified: 07 Jul 2016 07:32
URI: http://usir.salford.ac.uk/id/eprint/39228

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