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dc.contributor.authorLino, N
dc.date.accessioned2008-05-22T13:34:39Z
dc.date.available2008-05-22T13:34:39Z
dc.date.issued2004-06
dc.identifier.citationLino, N. (2004) An Integrated Ontology Set and Reasoning Mechanism for Multi-Modality Visualisation Destined to Collaborative Planning Environments. Student Paper for Doctoral Consortium at the Fourteenth International Conference on Automated Planning & Scheduling (ICAPS-2004), Whistler, British Columbia, Canada. 3-7 June 2004en
dc.identifier.isbn978-1-57735-200-6
dc.identifier.urihttp://www.aiai.ed.ac.uk/project/ix/documents/2004/2004-icaps-dc-lino-onto.pdf
dc.identifier.urihttp://hdl.handle.net/1842/2221
dc.descriptionThe University of Edinburgh and research sponsors are authorised to reproduce and distribute reprints and on-line copies for their purposes notwithstanding any copyright annotation hereon. The views and conclusions contained herein are the author’s and shouldn’t be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of other parties.en
dc.description.abstractIn the last decades, many advances have been made in intelligent planning systems. Significant improvements related to core problems, providing faster search algorithms and shortest plans have been proposed. However, there is a lack in researches allowing a better support for a proper use and interaction with planners, where, for instance, visualization can play an important role. This work proposes a way to address the problem of visualization in intelligent planning systems via a more general approach. It consists in an integrated ontology set and reasoning mechanism for multi-modality visualisation destined to collaborative planning environments. This framework will permit organizing and modeling the domain from the visualization perspective, and give a tailored support for presentation of information.en
dc.contributor.sponsorCAPES Foundationen
dc.format.extent64377 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherAAAI Pressen
dc.subjectartificial intelligenceen
dc.subjectintelligent planning systemsen
dc.subjectontologyen
dc.subjectvisualisationen
dc.subjectInformaticsen
dc.subjectComputer Scienceen
dc.subjectArtificial Intelligence Applications Institute
dc.titleAn Integrated Ontology Set and Reasoning Mechanism for Multi-Modality Visualisation Destined to Collaborative Planning Environmentsen
dc.typeConference Paperen


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