Weighted Ontology and weighted tree similarity algorithm for diagnosing Diabetes Mellitus

@article{Hayuhardhika2013WeightedOA,
  title={Weighted Ontology and weighted tree similarity algorithm for diagnosing Diabetes Mellitus},
  author={Widhy Hayuhardhika and N. Putra and Sugiyanto and R. Sarno and M. Sidiq},
  journal={2013 International Conference on Computer, Control, Informatics and Its Applications (IC3INA)},
  year={2013},
  pages={267-272}
}
  • Widhy Hayuhardhika, N. Putra, +2 authors M. Sidiq
  • Published 2013
  • Computer Science
  • 2013 International Conference on Computer, Control, Informatics and Its Applications (IC3INA)
  • Application knowledge base for diabetes such as expert systems has been developed, but generally using conventional methods that have limitations in representing knowledge. [...] Key Method 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.Expand Abstract
    9 Citations
    A Decision Support System for Diabetes Mellitus Management
    • 17
    DDO: a diabetes mellitus diagnosis ontology
    • 25
    Reusability ontology in business processes with similarity matching
    • PDF
    Ontology Alignment using combined similarity method and matching method
    • 2
    • PDF

    References

    SHOWING 1-10 OF 15 REFERENCES
    ONTOLOGY MAPPING FOR ERP BUSINESS PROCESS VARIATIONS
    • 3
    Product configuration knowledge modeling using ontology web language
    • 105
    Toward principles for the design of ontologies used for knowledge sharing?
    • T. Gruber
    • Computer Science
    • Int. J. Hum. Comput. Stud.
    • 1995
    • 8,000
    • PDF
    Construct Ontology-based Enterprise Information Metadata Framework
    • 6
    • PDF
    What Is an Ontology?
    • 1,010
    • PDF
    The AgentMatcher Architecture Applied to Power Grid Transactions
    • 12
    • PDF
    Ontology and Process Mining for Diabetic Medical Treatment Sequencing
    • International Conference on Information & Communication Technology and Systems
    • 2013