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文章基本信息

  • 标题:Developing an Ontology for Encoding Disease Treatment Information in Medical Abstracts
  • 其他标题:Developing an Ontology for Encoding Disease Treatment Information in Medical Abstracts
  • 作者:Christopher S.G. Khoo ; Jin-Cheon Na ; Vivian Wei Wang
  • 期刊名称:DESIDOC Journal of Library & Information Technology
  • 电子版ISSN:0976-4658
  • 出版年度:2011
  • 卷号:31
  • 期号:2
  • DOI:10.14429/djlit.31.2.862
  • 语种:English
  • 出版社:DESIDOC, Ministry of Defence, India
  • 摘要:A disease-treatment ontology is being developed to model and represent treatment information found in medical abstracts. Treatment information extracted from medical abstracts and medical articles can then be encoded in this ontology and used for information retrieval, question-answering, summarisation and knowledge discovery. This paper explains the initial version of the ontology developed based on an analysis of 50 medical abstracts on colon cancer therapy retrieved from the Medline database. The ontology divides disease-treatment information into five classes—disease, treatment, condition, effect, and evidence. The sub-classes, properties and instances of these main classes are discussed with examples.http://dx.doi.org/10.14429/djlit.31.2.862
  • 关键词:Medical ontology; disease-treatment ontology; ontology class
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