Repository logo
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Српски
  • Yкраї́нська
  • Log In
    New user? Click here to register. Have you forgotten your password?
Repository logo
  • Communities & Collections
  • All of INFLIBNET IR
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Српски
  • Yкраї́нська
  • Log In
    New user? Click here to register. Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Syamili, C"

Now showing 1 - 1 of 1
Results Per Page
Sort Options
  • Loading...
    Thumbnail Image
    Item
    Ontology Engineering Methodologies: An Analytical Study
    (INFLIBNET Centre, 2017-08) Syamili, C; Rekha R V
    Ontology is a broad term including a wide range of activities. Ontology can provide semantics for the next generation of World Wide Web. Recently ontology has become a major research issues in several disciplines of Computer Science and Information Systems. There are a range of domain ontologies on the semantic web such as Gene Ontology, Biological science ontology, CIDOC-CRM ontology of culture heritage documentation, FRBR in Bibliographic and NCI cancer ontology. When a new methodology is going to build, several basic questions arise related to the methodology, tools and techniques which are to be used in the development process. The study discusses various ontology engineering methodologies and compares major existing domain ontologies with these ontology engineering methodologies. The study critically analyses the problems of existing engineering methodologies and put forward some suggestions to overcome these limitations. The study will act as a guide to ontology developers and ontology experts.

DSpace software copyright © 2002-2025 LYRASIS

  • Cookie settings
  • Privacy policy
  • End User Agreement