• DocumentCode
    254192
  • Title

    Knowledge modeling fore-agriculture using ontology

  • Author

    Ahsan, Muhammad ; Motla, Yasir Hafeez ; Asim, Muhammad

  • Author_Institution
    UIIT-PMAS Arid Agric. Univ., Rawalpindi, Pakistan
  • fYear
    2014
  • fDate
    18-20 Dec. 2014
  • Firstpage
    112
  • Lastpage
    122
  • Abstract
    Agriculture is considered to be the backbone of the country´s economy. The emergence of ICT in the last couple of years has opened new challenges in the field of knowledge management concerning to distribution, sharing and integration. It is true that a lot of good practices related to agriculture are transferred without being well documented so most part of these practices remain tacit rather than explicit. Therefore, it is necessary to effectively manage knowledge for future generations before it disappears as a result of technological advancement. Knowledge management is considered as a challenge. In this paper, we have presented the knowledge management approach in the domain of agriculture, its results are presented by prototype implementation and its effectiveness has been checked by evaluation. This knowledge management approach assists the stakeholders to share and understand the domain and instance level knowledge, removes ambiguities as well as integration with other sources of knowledge compared to the traditional approaches of information management.
  • Keywords
    agriculture; economics; information management; knowledge management; ontologies (artificial intelligence); ICT; economy; information management; knowledge distribution; knowledge integration; knowledge management; knowledge modeling fore-agriculture; knowledge sharing; ontology; Diseases; HTML; Ontologies; Prototypes; Soil; Stress; Taxonomy; E-Agriculture; Formal model; Knowledge Management; Ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Open Source Systems and Technologies (ICOSST), 2014 International Conference on
  • Conference_Location
    Lahore
  • Print_ISBN
    978-1-4799-2053-2
  • Type

    conf

  • DOI
    10.1109/ICOSST.2014.7029330
  • Filename
    7029330