• DocumentCode
    2831485
  • Title

    A Strategy for Biodiversity Knowledge Acquisition Based on Domain Ontology

  • Author

    Albuquerque, A.C.F. ; Santos, J. L Campos dos ; De Magalhaes Netto, Jose Francisco

  • Author_Institution
    DCC/PPGI, Univ. Fed. do Amazonas, Manaus, Brazil
  • fYear
    2009
  • fDate
    Nov. 30 2009-Dec. 2 2009
  • Firstpage
    1143
  • Lastpage
    1148
  • Abstract
    Convention on biological diversity (CBD) recognizes that biodiversity loss must be reduced to promote poverty alleviation and direct benefit of all live on Earth. To achieve that, we must consider robust strategies and action plans based on knowledge and state of art technology. Parallel to that, research is underway in universities and scientific organization aiming to develop semantic Web as an additional resource associated to formal ontology and the avoidance of knowledge acquisition problems such as expertise dependence, tacit knowledge, experts´ availability and ideal time importance. Ontology can structure knowledge acquisition process for the purpose of comprehensive, portable machine understanding and knowledge extraction on the semantic Web environment. These technologies applied to biodiversity domain can be a valuable resource for CBD. The paper presents a strategy for biodiversity knowledge acquisition based on a negotiation protocol which uses domain ontology to extract knowledge from data sources in the semantic Web domain.
  • Keywords
    biology computing; knowledge acquisition; ontologies (artificial intelligence); semantic Web; biodiversity domain; biodiversity knowledge acquisition; biological diversity; domain ontology; knowledge extraction; negotiation protocol; semantic Web; Art; Availability; Biodiversity; Data mining; Earth; Educational institutions; Knowledge acquisition; Ontologies; Robustness; Semantic Web; Biodiversity; Knowledge Acquisition; Ontology; Semantic Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2009. ISDA '09. Ninth International Conference on
  • Conference_Location
    Pisa
  • Print_ISBN
    978-1-4244-4735-0
  • Electronic_ISBN
    978-0-7695-3872-3
  • Type

    conf

  • DOI
    10.1109/ISDA.2009.87
  • Filename
    5364153