COMPARISON SEMANTIC SIMILARITY APPROACH USING BIOMEDICAL DOMAIN DATASET

Journal Title: Acta Electronica Malaysia (AEM) - Year 2017, Vol 1, Issue 2

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.

Authors and Affiliations

Shahreen Kasim, Nurul Aswa Omar, Nurul Suhaida Mohammad Akbar, Rohayanti Hassan, Marzanah A. Jabar

Keywords

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  • EP ID EP402778
  • DOI 10.26480/aem.02.2017.01.04
  • Views 83
  • Downloads 0

How To Cite

Shahreen Kasim, Nurul Aswa Omar, Nurul Suhaida Mohammad Akbar, Rohayanti Hassan, Marzanah A. Jabar (2017). COMPARISON SEMANTIC SIMILARITY APPROACH USING BIOMEDICAL DOMAIN DATASET. Acta Electronica Malaysia (AEM), 1(2), 1-4. https://europub.co.uk/articles/-A-402778