Memorias de investigación
Ponencias en congresos:
Quantity and degree assessment in an RDF.based semantic language
Año:2012
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
This paper introduces a semantic language developed with the objective to be used in a semantic analyzer based on linguistic and world knowledge. Linguistic knowledge is provided by a Combinatorial Dictionary and several sets of rules. Extra-linguistic information is stored in an Ontology. The meaning of the text is represented by means of a series of RDF-type triples of the form predicate(subject, object). Semantic analyzer is one of the options of the multifunctional ETAP-3 linguistic processor. The analyzer can be used for Information Extraction and Question Answering. We describe semantic representation of expressions that provide an assessment of the number of objects involved and/or give a quantitative evaluation of different types of attributes. We focus on the following aspects: 1) parametric and non-parametric attributes; 2) gradable and non-gradable attributes; 3) ontological representation of different classes of attributes; 4) absolute and relative quantitative assessment; 5) punctual and interval quantitative assessment; 6) intervals with precise and fuzzy boundaries
Internacional
Si
Nombre congreso
International Conference on Artificial Intelligence (ICAI 2012)
Tipo de participación
960
Lugar del congreso
Las Vegas (USA)
Revisores
Si
ISBN o ISSN
1-60132-217-8
DOI
Fecha inicio congreso
16/07/2013
Fecha fin congreso
19/07/2013
Desde la página
755
Hasta la página
761
Título de las actas
Proceedings of the 2012 International Conference on Artificial Intelligence. Hamid R. Arabnia et al (eds.)
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Validación y Aplicaciones Industriales
  • Departamento: Inteligencia Artificial