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Erschienen in:
2011 | OriginalPaper | Buchkapitel
BioOntoVerb Framework: Integrating Top Level Ontologies and Semantic Roles to Populate Biomedical Ontologies
verfasst von : Juana María Ruiz-Martínez, Rafael Valencia-García, Rodrigo Martínez-Béjar
Erschienen in: Natural Language Processing and Information Systems
Verlag: Springer Berlin Heidelberg
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Ontology population is a knowledge acquisition activity that relies on (semi-) automatic methods to transform un-structured, semi-structured and structured data sources into instance data. A semantic role is a relationship between a syntactic constituent and a predicate that defines the role of a verbal argument in the event expressed by the verb. In this work, we describe a framework where top level ontologies that define the basic semantic relations in biomedical domains are mapped onto semantic role labeling resources in order to develop a tool for ontology population from biomedical natural language text. This framework has been validated by using an ontology extracted from the GENIA corpus.