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
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.