• DocumentCode
    2867256
  • Title

    CreaDO -- A Methodology to Create Domain Ontologies Using Parameter-Based Ontology Merging Techniques

  • Author

    Pariente Juarez, Sabino ; Esquivel, Hugo Estrada ; Rebollar, Alicia Martínez ; Suarez-Figueroa, M.C.

  • Author_Institution
    Dept. de Cienc. Computacionales, Centro Nac. de Investig. y Desarrollo Tecnol. (cenidet), Cuernavaca, Mexico
  • fYear
    2011
  • fDate
    Nov. 26 2011-Dec. 4 2011
  • Firstpage
    23
  • Lastpage
    28
  • Abstract
    Nowadays, ontologies have become a key mechanism to represent the knowledge of a specific domain. Domain ontologies can be used for different purposes, one of them is the development of semantic search engines that obtain precise results by considering the meaning of the Web content. The construction of these ontologies usually requires a large amount of effort and time to be completed. One way of reducing such effort and time is using the reuse approach. When ontologies overlap, alignment techniques to merge such ontologies can be applied. However, the result of the ontology merging activity can be a very large ontology, difficult to understand and use. To overcome this problem, this paper describes a methodology, called CreaDO, to semi-automatically create domain ontologies. CreaDO focuses on performing a parameter-based ontology merge that allows the creation of a domain ontology only with relevant information for the ontology purpose.
  • Keywords
    Internet; merging; ontologies (artificial intelligence); search engines; CreaDO; Web content; domain ontologies; knowledge representation; parameter-based ontology merging techniques; semantic search engines; Buildings; Context; Filtering; Merging; Object recognition; Ontologies; Creation of Domain Ontology; Domain Ontology; Ontology Merging; Semantic Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence (MICAI), 2011 10th Mexican International Conference on
  • Conference_Location
    Puebla
  • Print_ISBN
    978-1-4577-2173-1
  • Type

    conf

  • DOI
    10.1109/MICAI.2011.39
  • Filename
    6118987