Observatorio de I+D+i UPM

Descripción
Lexica and terminology databases play a vital role in many NLP applications, but currently most such resources are published in application-specific formats, or with custom access interfaces, leading to the problem that much of this data is in ?data silos? and hence difficult to access. The Semantic Web and in particular the Linked Data initiative provide effective solutions to this problem, as well as possibilities for data reuse by inter-lexicon linking, and incorporation of data categories by dereferencable URIs. The Semantic Web focuses on the use of ontologies to describe semantics on the Web, but currently there is no standard for providing complex lexical information for such ontologies and for describing the relationship between the lexicon and the ontology. We present our model, lemon, which aims to address these gaps.
Internacional	Si
JCR del ISI	Si
Título de la revista	Language Resources And Evaluation
ISSN	1574-020X
Factor de impacto JCR	0,308
Información de impacto
Volumen	46
DOI	10.1007/s10579-012-9182-3
Número de revista
Desde la página	00
Hasta la página	00
Mes	MAYO
Ranking	En 2011 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS (Q4)

Esta actividad pertenece a memorias de investigación

• Autor: Guadalupe Aguado De Cea (UPM)
• Autor: Asuncion de Maria Gomez Perez (UPM)
• Autor: Jorge Gracia Del Rio (UPM)
• Autor: Elena Montiel Ponsoda (UPM)

• Creador: Grupo de Investigación: Ontology Engineering Group
• Departamento: Inteligencia Artificial