Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/130864
COMPARTIR / EXPORTAR:
logo share SHARE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE

Invitar a revisión por pares abierta
Título

Upward Refinement for Conceptual Blending in Description Logic — An ASP-based Approach and Case Study in EL++—

AutorConfalonieri, Roberto; Eppe, Manfred; Schorlemmer, Marco CSIC ORCID ; Kutz, Oliver; Peñaloza, Rafael; Plaza, Enric CSIC ORCID
Palabras claveConceptual blending
Answer set programming
Fecha de publicación2015
EditorAssociation for the Advancement of Artificial Intelligence
CitaciónIJCAI-15 International Workshop on Ontologies and Logic Programming for Query Answering, Buenos Aires, 25/07/215
ResumenConceptual blending is understood to be a process that serves a variety of cognitive purposes, including creativity, and has been highly influential in cognitive linguistics. In this line of thinking, human creativity is modeled as a blending process that takes different mental spaces as input and combines them into a new mental space, called a blend. According to this form of combinatorial creativity, a blend is constructed by taking the existing commonalities among the input mental spaces—known as the generic space—into account, and by projecting their structure in a selective way. Since input spaces for interesting blends are often initially incompatible, a generalisation step is needed before they can be blended. In this paper, we apply this idea to blend input spaces specified in the description logic EL++ and propose an upward refinement operator for generalising EL++ concepts. We show how the generalisation operator is translated to Answer Set Programming (ASP) in order to implement a search process that finds possible generalisations of input concepts. We exemplify our approach in the domain of computer icons.
URIhttp://hdl.handle.net/10261/130864
Aparece en las colecciones: (IIIA) Comunicaciones congresos




Ficheros en este ítem:
Fichero Descripción Tamaño Formato
ontolp2015.pdf213,99 kBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo

CORE Recommender

Page view(s)

364
checked on 27-mar-2024

Download(s)

126
checked on 27-mar-2024

Google ScholarTM

Check


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.