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Part of
Language Processing and Grammars: The role of functionally oriented computational models
Edited by Brian Nolan and Carlos Periñán-Pascual
[Studies in Language Companion Series 150] 2014
► pp. 251–270

FunGramKB term extractor

A tool for building terminological ontologies 
from specialised corpora

| Universidad de Granada
| Universidad de Granada

Ontological engineering is a relatively young discipline that has nevertheless received considerable attention because of its great potential for application in a number of areas, including Machine Translation, Artificial Intelligence and the Semantic Web. A major field of research of the ontological endeavour concerns the building of specialised ontologies, i.e. concept hierarchies which formalise knowledge from expert areas of human activity such as medicine or law. This chapter focuses on the methodological aspects of the construction of specialised taxonomies in the framework of the FunGramKB knowledge base and in doing so it illustrates the FunGramKB Term Extractor, an innovative corpus-based tool for the semi-automatic extraction of terms.

Published online: 1 April 2014
DOI logo
https://doi.org/10.1075/slcs.150.10fel
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Cited by

Cited by 2 other publications

Felices Lago, Ángel M. & Pedro Ureña Gómez-Moreno
2020. Conceptualización de entidades terminológicas en una subontología de derecho penal: análisis del concepto superordinado +DRUG_00 en FunGramKb. Revista de Lingüística y Lenguas Aplicadas 15:1 ► pp. 15 ff. DOI logo
Martinez-Rodriguez, Jose L., Aidan Hogan, Ivan Lopez-Arevalo & Andreas Hotho
2020. Information extraction meets the Semantic Web: A survey. Semantic Web 11:2 ► pp. 255 ff. DOI logo

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