A methodology for biomedical ontology reuse

Zulkarnain, NZ; Meziane, F

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.

Citation

Zulkarnain, N., & Meziane, F. (2016). A methodology for biomedical ontology reuse. Lecture notes in computer science, 9612, 3-14. https://doi.org/10.1007/978-3-319-41754-7_1

• Journal Article Type: Article
• Conference Name: Proceedings of the 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016
• Conference Location: Salford, UK
• Start Date: Jun 22, 2023
• End Date: Jun 24, 2023
• Acceptance Date: Apr 15, 2016
• Publication Date: Jun 1, 2016
• Deposit Date: Jun 24, 2016
• Publicly Available Date: Jul 1, 2017
• Journal: Natural Language Processing and Information Systems
• Print ISSN: 0302-9743
• Publisher: Springer Verlag
• Volume: 9612
• Pages: 3-14
• Book Title: Lecture notes in computer science
• DOI: https://doi.org/10.1007/978-3-319-41754-7_1
• Publisher URL: http://dx.doi.org/10.1007/978-3-319-41754-7_1
• Related Public URLs: http://dx.doi.org/10.1007/978-3-319-41754-7
• Additional Information: Event Type : Conference