Developing an Ontology for Encoding Disease Treatment Information in Medical Abstracts

Authors

  • Christopher S.G. Khoo
  • Jin-Cheon Na
  • Vivian Wei Wang
  • Syin Chan

DOI:

https://doi.org/10.14429/djlit.31.2.862

Keywords:

Medical ontology, disease-treatment ontology, ontology class

Abstract

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

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Published

2011-02-24

How to Cite

S.G. Khoo, C., Na, J.-C., Wei Wang, V., & Chan, S. (2011). Developing an Ontology for Encoding Disease Treatment Information in Medical Abstracts. DESIDOC Journal of Library & Information Technology, 31(2). https://doi.org/10.14429/djlit.31.2.862

Issue

Vol. 31 No. 2 (2011): Ontology

Section

Special Issue on Visualising Libraries

License

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