
Ontology‐based interactive information extraction from scientific abstracts
Author(s) -
Milward David,
Bjäreland Marcus,
Hayes William,
Maxwell Michelle,
Öberg Lisa,
Tilford Nick,
Thomas James,
Hale Roger,
Knight Sylvia,
Barnes Julie
Publication year - 2005
Publication title -
comparative and functional genomics
Language(s) - English
Resource type - Journals
eISSN - 1532-6268
pISSN - 1531-6912
DOI - 10.1002/cfg.456
Subject(s) - ontology , computer science , information retrieval , information extraction , data extraction , search engine , world wide web , data science , medline , database , data mining , philosophy , epistemology , political science , law
Over recent years, there has been a growing interest in extracting information automatically or semi‐automatically from the scientific literature. This paper describes a novel ontology‐based interactive information extraction (OBIIE) framework and a specific OBIIE system. We describe how this system enables life scientists to make ad hoc queries similar to using a standard search engine, but where the results are obtained in a database format similar to a pre‐programmed information extraction engine. We present a case study in which the system was evaluated for extracting co‐factors from EMBASE and MEDLINE. Copyright © 2005 John Wiley & Sons, Ltd.