Abstract
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.
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Ruiz-Martínez, J.M., Valencia-García, R., Martínez-Béjar, R. (2011). BioOntoVerb Framework: Integrating Top Level Ontologies and Semantic Roles to Populate Biomedical Ontologies. In: Muñoz, R., Montoyo, A., Métais, E. (eds) Natural Language Processing and Information Systems. NLDB 2011. Lecture Notes in Computer Science, vol 6716. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22327-3_39
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DOI: https://doi.org/10.1007/978-3-642-22327-3_39
Publisher Name: Springer, Berlin, Heidelberg
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