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Ontology development and evaluation for urinal tract infection

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This research is aimed to develop an ontology based on UMLS to the domain of urinal tract infection that contains information regarding definitions, synonyms, relations and semantic types from various biomedical vocabularies and to display them in a live portal (http://115.167.72.12/knowledgebase/index.php ) the resulting ontology was then formally evaluated and domain expert reviews are applied to measure ontology correctness in terms of structure and content.

Original languageEnglish
Title of host publicationIEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIBIM 2014
Subtitle of host publication2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management, Proceedings
PublisherIEEE Computer Society
Pages195-201
Number of pages7
EditionJanuary
ISBN (Electronic)9781479945344
DOIs
StatePublished - 19 Jan 2015
Externally publishedYes
Event2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management, CIBIM 2014, Part of the 2014 IEEE Symposium Series on Computational Intelligence, SSCI 2014 - Orlando, United States
Duration: 9 Dec 201412 Dec 2014

Publication series

NameIEEE Workshop on Computational Intelligence in Biometrics and Identity Management, CIBIM
NumberJanuary
Volume2015-January
ISSN (Print)2325-4300
ISSN (Electronic)2325-4319

Conference

Conference2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management, CIBIM 2014, Part of the 2014 IEEE Symposium Series on Computational Intelligence, SSCI 2014
Country/TerritoryUnited States
CityOrlando
Period9/12/1412/12/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

  • Domain experts Introduction
  • Ontology
  • Release formats
  • UMLS
  • UTI

ASJC Scopus subject areas

  • Biotechnology
  • Computational Theory and Mathematics
  • Artificial Intelligence

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