An ontology-based information extractor for data-rich documents in the information technology domain

This paper presents an information extraction method, suitable for data-rich documents, based on the knowledge represented in a domain ontology. The extractor combines a fuzzy string matcher and a word sense disambiguation (WSD) algorithm. The fuzzy string matcher finds mentions of terms combining c...

Full description

Autores:
Jiménez Vargas, Sergio Gonzalo
González Osorio, Fabio Augusto
Tipo de recurso:
Article of journal
Fecha de publicación:
2008
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/24330
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/24330
http://bdigital.unal.edu.co/15367/
Palabra clave:
Knowledge Management
Information Extraction
Ontologies
Fuzzy String Searching
Word Sense Disambiguation
Semantic Relatedness
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional