期刊
EXPERT SYSTEMS WITH APPLICATIONS
卷 40, 期 8, 页码 3266-3281出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2012.12.090
关键词
Ontology-based information extraction; Knowledge representation; Regulatory networks
类别
资金
- Spanish Ministry of Science and Innovation (DAMASK project, Data mining algorithms with semantic knowledge) [TIN2009-11005]
- Spanish Government (Plan E, Spanish Economy and Employment Stimulation Plan)
- Fundacion Carolina research Grant
The amount of scientific papers in the Molecular Biology field has experienced an enormous growth in the last years, prompting the need of developing automatic Information Extraction (IE) systems. This work is a first step towards the ontology-based domain-independent generalization of a system that identifies Escherichia coli regulatory networks. First, a domain ontology based on the RegulonDB database was designed and populated. After that, the steps of the existing IE system were generalized to use the knowledge contained in the ontology, so that it could be potentially applied to other domains. The resulting system has been tested both with abstract and full articles that describe regulatory interactions for E. coli, obtaining satisfactory results. (c) 2012 Elsevier Ltd. All rights reserved.
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