BioOntoVerb Framework: Integrating Top Level Ontologies and Semantic Roles to Populate Biomedical Ontologies View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2011

AUTHORS

Juana María Ruiz-Martínez , Rafael Valencia-García , Rodrigo Martínez-Béjar

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. More... »

PAGES

282-285

Book

TITLE

Natural Language Processing and Information Systems

ISBN

978-3-642-22326-6
978-3-642-22327-3

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-22327-3_39

DOI

http://dx.doi.org/10.1007/978-3-642-22327-3_39

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1011553704


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