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Acta Electronica Malaysia (AEM)

COMPARISON SEMANTIC SIMILARITY APPROACH USING BIOMEDICAL DOMAIN DATASET

January 16, 2018 Posted by mieyo In Acta Electronica Malaysia (AEM)

ABSTRACT

COMPARISON SEMANTIC SIMILARITY APPROACH USING BIOMEDICAL DOMAIN DATASET

Acta Electronica Malaysia (AEM)
Author: Shahreen Kasim ,Nurul Aswa Omar , Nurul Suhaida Mohammad Akbar , Rohayanti Hassan , Marzanah A. Jabar

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

DOI :10.26480/aem.02.2017.01.04

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.

Pages 01-04
Year 2017
Issue 2
Volume 1

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