Mapping Of Pulmonary Disease Ontology Terms Using Graph Stream

Authors

  • Radhika P Dept. of Computer Science, Rayalaseema University, Kurnool, India
  • Verma PS Dept. of Computer Science, Adikavi Nannaya University, Rajahmundry, India
  • Kalyani NL Dept. of Computer Sciences and Engineering, VNR VJIET, Hyderabad, India
  • Krishna PR Dept. of Computer Sciences and Engineering, VNR VJIET, Hyderabad, India

DOI:

https://doi.org/10.26438/ijcse/v6i10.149152

Keywords:

Ontology mapping, pulmonary diseases, similarity calculations, graph generation, human evaluation

Abstract

Since long, organizations have been looking for information sources that can store data which can provide structured organization and focuses on meaning access of data. Sematic web helps a lot in this context to retrieve meaningful data. This paper emphasizes on mapping developed ontology terms and their retrieval with the help of Graph Stream. We developed an ontology for Pulmonary diseases which consists of classes , objects, relations, and their properties and division of diseases is given as sub classes and Levenshtein’s Edit system algorithm has been used for similarity calculations. The generated ontology has been sent for preprocessing and is fed to Graph Stream for graph generation. The results produced are comparable to the results of human annotators

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Published

2025-11-17
CITATION
DOI: 10.26438/ijcse/v6i10.149152
Published: 2025-11-17

How to Cite

[1]
P. Radhika, P. S. Verma, N. L. Kalyani, and P. R. Krishna, “Mapping Of Pulmonary Disease Ontology Terms Using Graph Stream”, Int. J. Comp. Sci. Eng., vol. 6, no. 10, pp. 149–152, Nov. 2025.

Issue

Vol. 6 No. 10 (2018): IJCSE October Edition

Section

Research Article

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