BIT105: A Web Application for Extracting Key Domain Information for Scientific Publications using Ontology
|Title||BIT105: A Web Application for Extracting Key Domain Information for Scientific Publications using 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 demos of an ongoing project, domain informational vocabulary extraction (DIVE), which aims to enrich digital publications through entity and key informational words detection and by adding additional annotations. The system implements multiple strategies for biological entity detection, including using regular expression rules, ontologies, and a keyword dictionary. These extracted entities are then stored in a database and made accessible through an interactive web application for curation and evaluation by authors. Through the web interface, the user can make additional annotations and corrections to the current results. The updates can then be used to improve the entity detection in subsequent processed articles. Although the system is being developed in the context of annotating journal articles, it can be also be beneficial to domain curators and researchers at large.