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
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;
Conference_Titel :
Computer-Based Medical Systems (CBMS), 2011 24th International Symposium on
Conference_Location :
Bristol
Print_ISBN :
978-1-4577-1189-3
DOI :
10.1109/CBMS.2011.5999168