The development of a biological ontology based on a possible connection between EEG and breast cancer using bibliographic reasoning. (2017)

• Record Type: Journal Article
• Authors: Poulos, Marios
• Is Part Of: International journal of metadata, semantics and ontologies. Volume 12:Number 2/3(2017)
• Page Start: 103
• Page End: 109
• Publication Date: 2017
• Subjects: semantic web -- data mining -- proteins -- genes -- breast cancer -- bibliometric -- ontology; Metadata -- Periodicals; Semantic Web -- Periodicals; Ontologies (Information retrieval) -- Periodicals; Data structures (Computer science) -- Periodicals; Information theory -- Periodicals; 005.74
• Languages: English
• ISSNs: 1744-2621

Abstract

This paper describes, using bibliographic reasoning, a biological ontology based on a possible connection between EEG and breast cancer. The paper uses a data mining approach, applied to PubMed articles. The proposed system will be able to identify the appearance of each gene's ID and compare the coexistence of two genes or proteins in PubMed articles/papers using as queries specific authorised terms. The produced connections (genes and proteins) could be a useful tool for scientists and medical professionals searching for a possible relationship between disorders such as cancer and EEG.