UTHM Institutional Repository

Comparison semantic similarity approach using biomedical domain dataset

Kasim, Shahreen and Omar, Nurul Aswa and Mohammad Akbar, Nurul Suhaida and Hassan, Rohayanti and A. Jabar, Marzanah (2017) Comparison semantic similarity approach using biomedical domain dataset. Acta Electronica Malaysia (AEM), 1 (2). pp. 1-4. ISSN 25904043

Full text not available from this repository.


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.

Item Type: Article
Uncontrolled Keywords: Ontology; efficiency; scalability; MeSH datasets; semantic
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Computer Science and Information Technology > Department of Web Technology
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 30 Apr 2019 01:04
Last Modified: 30 Apr 2019 01:04
URI: http://eprints.uthm.edu.my/id/eprint/10936
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item