Extending Qualitative Spatial Theories with Emergent Spatial Concepts: An Automated Reasoning Approach

Aranda Corral, Gonzalo A.; Borrego Díaz, Joaquín; Chávez González, Antonia María

doi:10.1007/978-3-319-07617-1_38

Ponencia

dc.creator	Aranda Corral, Gonzalo A.	es
dc.creator	Borrego Díaz, Joaquín	es
dc.creator	Chávez González, Antonia María	es
dc.date.accessioned	2018-05-22T08:29:33Z
dc.date.available	2018-05-22T08:29:33Z
dc.date.issued	2014
dc.identifier.citation	Aranda Corral, G.A., Borrego Díaz, J. y Chávez González, A.M. (2014). Extending Qualitative Spatial Theories with Emergent Spatial Concepts: An Automated Reasoning Approach. En HAIS 2014: 9th International Conference on Hybrid Artificial Intelligence Systems (427-438), Salamanca, España: Springer.
dc.identifier.isbn	978-3-319-07616-4	es
dc.identifier.issn	0302-9743	es
dc.identifier.uri	https://hdl.handle.net/11441/74890
dc.description.abstract	Qualitative Spatial Reasoning is an exciting research field of the Knowledge Representation and Reasoning paradigm whose application often requires the extension, refinement or combination of existent theories (as well as the associated calculus). This paper addresses the issue of the sound spatial interpretation of formal extensions of such theories; particularly the interpretation of the extension and the desired representational features. The paper shows how to interpret certain kinds of extensions of Region Connection Calculus (RCC) theory. We also show how to rebuild the qualitative calculus of these extensions.	es
dc.description.sponsorship	Junta de Andalucía TIC-6064	es
dc.format	application/pdf	es
dc.language.iso	eng	es
dc.publisher	Springer	es
dc.relation.ispartof	HAIS 2014: 9th International Conference on Hybrid Artificial Intelligence Systems (2014), p 427-438
dc.rights	Atribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.title	Extending Qualitative Spatial Theories with Emergent Spatial Concepts: An Automated Reasoning Approach	es
dc.type	info:eu-repo/semantics/conferenceObject	es
dcterms.identifier	https://ror.org/03yxnpp24
dc.type.version	info:eu-repo/semantics/submittedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial	es
dc.relation.projectID	TIC-6064	es
dc.relation.publisherversion	https://link.springer.com/chapter/10.1007/978-3-319-07617-1_38	es
dc.identifier.doi	10.1007/978-3-319-07617-1_38	es
idus.format.extent	12	es
dc.publication.initialPage	427	es
dc.publication.endPage	438	es
dc.eventtitle	HAIS 2014: 9th International Conference on Hybrid Artificial Intelligence Systems	es
dc.eventinstitution	Salamanca, España	es
dc.relation.publicationplace	Berlín	es
dc.identifier.sisius	20828853	es
dc.contributor.funder	Junta de Andalucía

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