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Comparison Semantic Similarity Approach Using Biomedical Domain Dataset

Shahreen Kasim (), Nurul Aswa Omar (), Nurul Suhaida Mohammad Akbar, Rohayanti Hassan and Marzanah A. Jabar
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Shahreen Kasim: Department Web Technology
Nurul Aswa Omar: Department Web Technology
Nurul Suhaida Mohammad Akbar: Department Web Technology
Rohayanti Hassan: Department Web Technology
Marzanah A. Jabar: Soft Computing And Data Mining Centre, Faculty Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Parit Raja, Batu Pahat, Johor Malaysia

Acta Electronica Malaysia (AEM), 2017, vol. 1, issue 2, 1-4

Abstract: Semantic similarity is defined as the closeness of two concepts, based on the likeliness of their meaning. Most semantic similarity is applied uses ontology. This research are uses ontology as a case study due to their efficiency, scalability, lack of constraints and the availability of large ontologies. Ontology-based semantic similarity is used in two situations. The semantic similarity in a single ontology and when multiple ontologies are involved. In this research focus on single ontology where use MeSH datasets as a case study. Semantic similarity single ontology means similarities are compared from the same ontology. The importance of information in the biomedical field, semantic similarity measures have been of great interest.

Keywords: Ontology; efficiency; scalability; MeSH datasets; Semantic. (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:zib:zbnaem:v:1:y:2017:i:2:p:1-4

DOI: 10.26480/aem.02.2017.01.04

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