Weighted Ontology and weighted tree similarity algorithm for diagnosing Diabetes Mellitus

Widhy Hayuhardhika, Nugraha Putra, Sugiyanto, Riyanarto Sarno, Mohamad Sidiq

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

10 Citations (Scopus)

Abstract

Application knowledge base for diabetes such as expert systems has been developed, but generally using conventional methods that have limitations in representing knowledge. Ontology supports the search of data / information by defining the concept of convergent intended by the user. This study using Diabetes Mellitus Classification based diabetes disease diagnosis from World Health Organization Geneva. This system receives input patient data from user. Then, system will build the patient ontology to represent patient knowledge. We are connecting Java applications to Protégé using OWL API. Then, system will calculate the weight of an ontology based on density. This system use JENA Inference Engine and working memory area for reasoning. The system would then do process similarity matching with Ontology Diabetes Mellitus using weighted tree similarity algorithm. Ontology has the highest similarity value will be the proposed diagnosis. Results of this study show that the representation in the form of OWL ontology using weighted ontology and weighted tree similarity algorithm can be used to represent knowledge about diabetes mellitus.

Original languageEnglish
Title of host publicationProceeding - 2013 International Conference on Computer, Control, Informatics and Its Applications
Subtitle of host publication"Recent Challenges in Computer, Control and Informatics", IC3INA 2013
PublisherIEEE Computer Society
Pages267-272
Number of pages6
ISBN (Print)9781479910786
DOIs
Publication statusPublished - 2013
Event2013 International Conference on Computer, Control, Information and Its Applications, IC3INA 2013 - Jakarta, Indonesia
Duration: 19 Nov 201321 Nov 2013

Publication series

NameProceeding - 2013 International Conference on Computer, Control, Informatics and Its Applications: "Recent Challenges in Computer, Control and Informatics", IC3INA 2013

Conference

Conference2013 International Conference on Computer, Control, Information and Its Applications, IC3INA 2013
Country/TerritoryIndonesia
CityJakarta
Period19/11/1321/11/13

Keywords

  • diabetes mellitus
  • semantic search
  • weighted ontology
  • weighted tree similarity

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