The cancerology ontology: designed to support the search of evidence-based oncology from biomedical literatures
RIS ID
38625
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.
Publication Details
Polpinij, J. (2011). The cancerology ontology: designed to support the search of evidence-based oncology from biomedical literatures. Proceeding of CBMS 2011: 24th International Symposium on Computer-Based Medical Systems (pp. 81-86). USA: IEEE.