• DocumentCode
    2498177
  • Title

    Semantic Technology: An Efficient Approach to Monogenean Information Retrieval

  • Author

    Alfred, S. ; Arpah, A. ; Lim, L.H.S. ; Sarinder, K.K.S.

  • Author_Institution
    Biodatabase & Inf. Archit. Lab. (BIAL), Univ. of Malaya, Kuala Lumpur, Malaysia
  • fYear
    2010
  • fDate
    23-25 April 2010
  • Firstpage
    591
  • Lastpage
    594
  • Abstract
    Biological data is huge and increasing rapidly therefore data storing and mining will become major challenges. We have encountered several key problems related to limitations in the database management system (DBMS) used and information retrieval in our in-house Monogenean-host database. In this paper we will be presenting the ontology developed that is specific to our dataset using semantic technology to overcome these problems. Our Taxonomy ontology is built based on accepted taxonomic classification system and semantic key identifier therefore problems in information retrieval are minimized. Our focus is on the images used in taxonomy and how to retrieve them based on semantic identifiers.
  • Keywords
    image retrieval; information retrieval; ontologies (artificial intelligence); database management system; monogenean information retrieval; semantic technology; taxonomy ontology; Biodiversity; Bioinformatics; Biology; Database systems; Informatics; Information retrieval; OWL; Ontologies; Relational databases; Resource description framework; Monogenean; information retrieval; ontology; semantic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Network Technology (ICCNT), 2010 Second International Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    978-0-7695-4042-9
  • Electronic_ISBN
    978-1-4244-6962-8
  • Type

    conf

  • DOI
    10.1109/ICCNT.2010.127
  • Filename
    5474430