• DocumentCode
    2982160
  • Title

    The Cancerology ontology: Designed to support the search of evidence-based oncology from biomedical literatures

  • Author

    Polpinij, Jantima

  • Author_Institution
    Fac. of Inf., Mahasarakham Univ., Mahasarakham, Thailand
  • fYear
    2011
  • fDate
    27-30 June 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This work proposes a new ontology, called the Cancerology, where it faces a problem of unclear analysis in a biomedical text processing because existing ontologies such National Cancer Institute´s Thesaurus and Ontology do not offer some information relating to domain specific variations in terms that can be provided by the domain expert. This ontology is experimented through a method of text classification with retrieving the relevant cervix cancer abstracts relating to clinical trials from PubMed. The experimental results show more effectiveness for increasing the accuracy. This demonstrates that the Cancerology may be also effective for other areas of text processing and analysis, especially in the particular domain of oncology literature such as intelligent search service, text mining, and knowledge extraction.
  • Keywords
    bioinformatics; cancer; data mining; ontologies (artificial intelligence); pattern classification; text analysis; National Cancer Institute; PubMed; biomedical literatures; biomedical text processing; cancerology ontology; cervix cancer abstract retrieval; evidence-based oncology; intelligent search service; knowledge extraction; text classification; text mining; Cancer; Drugs; Oncology; Ontologies; Surgery; Text categorization; Text processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems (CBMS), 2011 24th International Symposium on
  • Conference_Location
    Bristol
  • ISSN
    1063-7125
  • Print_ISBN
    978-1-4577-1189-3
  • Type

    conf

  • DOI
    10.1109/CBMS.2011.5999168
  • Filename
    5999168