• DocumentCode
    1698493
  • Title

    Evidence/discovery-based evolving ontology (EDBEO)

  • Author

    Koozani, Ehsan Nasiri ; Hussain, Omar ; Dillon, Tharam ; Hadzic, Maja

  • fYear
    2010
  • Firstpage
    327
  • Lastpage
    333
  • Abstract
    This paper presents a proposal for the development of an ontology evolution strategy which refines ontological relations in scientific ontologies. In addition to experts´ consensus, it is desirable to define ontological relations between any two concepts in a scientific ontology based on scientific evidence. To address this issue, we can relate ontological relations to different research results obtained from various studies. To implement this solution, our envisaged evidence/discovery-based methodology integrates a higher-level ontology (systematic review ontology) into a systematic review agent which employs a Fuzzy Inference System in order to automatically modify ontological relations of a domain ontology based on the evidence received from information resources. The evidence/discovery-based methodology will further use the domain ontology to discover novel connections between distinct literatures, thereby, enrich its conceptualization.
  • Keywords
    case-based reasoning; fuzzy reasoning; information resources; ontologies (artificial intelligence); evidence-discovery based ontology evolution strategy; fuzzy inference system; higher-level ontology; information resources; scientific evidence; scientific ontology; Business; Complexity theory; Humans; Ontologies; Pragmatics; Stress; Systematics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems (CBMS), 2010 IEEE 23rd International Symposium on
  • Conference_Location
    Perth, WA
  • ISSN
    1063-7125
  • Print_ISBN
    978-1-4244-9167-4
  • Type

    conf

  • DOI
    10.1109/CBMS.2010.6042665
  • Filename
    6042665