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Ontology-Based Extraction and Summarization of Protein Mutation Impact Information

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TitleOntology-Based Extraction and Summarization of Protein Mutation Impact Information
Publication TypeConference Paper
Year of Publication2010
AuthorsNaderi, N., and R. Witte
Refereed DesignationRefereed
Conference NameProceedings of the 2010 Workshop on Biomedical Natural Language Processing (BioNLP 2010)
Pagination128--129
Date PublishedJuly 15
PublisherAssociation for Computational Linguistics (ACL)
Conference LocationUppsala, Sweden
Type of WorkPoster
Abstract

NLP methods for extracting mutation information from the bibliome have become an important new research area within bio-NLP, as manually curated databases, like the Protein Mutant Database (PMD) (Kawabata et al., 1999), cannot keep up with the rapid pace of mutation research. However, while significant progress has been made with respect to mutation detection, the automated extraction of the impacts of these mutations has so far not been targeted. In this paper, we describe the first work to automatically summarize impact information from protein mutations. Our approach is based on populating an OWL-DL ontology with impact information, which can then be queried to provide structured information, including a summary.

URLhttp://www.aclweb.org/anthology/W10-1917
Copyright

Copyright © 2010 Association for Computational Linguistics (ACL)

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