Quantity and degree assessment in an RDF.based semantic language

Boguslavsky, Igor M. (2012). Quantity and degree assessment in an RDF.based semantic language. In: "2012 International Conference on Artificial Intelligence.", 16/07/2013 - 19/07/2013, Las Vegas (USA). pp. 755-761.

Description

Title: Quantity and degree assessment in an RDF.based semantic language
Author/s:
  • Boguslavsky, Igor M.
Item Type: Presentation at Congress or Conference (Article)
Event Title: 2012 International Conference on Artificial Intelligence.
Event Dates: 16/07/2013 - 19/07/2013
Event Location: Las Vegas (USA)
Title of Book: Proceedings of the 2012 International Conference on Artificial Intelligence.
Date: 2012
Subjects:
Freetext Keywords: knowledge representation, semantic analysis, ontology, RDF languages, gradable attributes, presentación del conocimiento, análisis semántico, ontología, lenguajes RDF, atributos graduables.
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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

More information

Item ID: 20105
DC Identifier: http://oa.upm.es/20105/
OAI Identifier: oai:oa.upm.es:20105
Official URL: http://www.worldacademyofscience.org/worldcomp12/ws
Deposited by: Memoria Investigacion
Deposited on: 21 Oct 2013 14:19
Last Modified: 21 Apr 2016 22:29
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