D106-BP04: Enhancing Information Accessibility of Publications with Text Mining and Ontology
|Title||D106-BP04: Enhancing Information Accessibility of Publications with Text Mining and Ontology|
|Publication Type||Conference Paper|
|Year of Publication||2016|
|Authors||Xu W, Gupta A, Jaiswal P, Taylor C, Lockhart P|
|Conference Name||International Conference on Biomedical Ontology and BioCreative (ICBO BioCreative 2016)|
|Publisher||CEUR-ws.org Volume 1747|
We present an ongoing effort on utilizing text mining methods and existing biological ontologies to help readers to access the information contained in the scientific articles. Our approach includes using multiple strategies for biological entity detection and using association analysis on extracted analysis. The entity extraction processes utilizes regular expression rules, ontologies, and keyword dictionary to get a comprehensive list of biological entities. In addition to extract list of entities, we also apply natural language processing and association analysis techniques to generate inferences among entities and comparing to known relations documented in the existing ontologies.