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...
- 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