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Title: An Integrated Ontology Set and Reasoning Mechanism for Multi-Modality Visualisation Destined to Collaborative Planning Environments
Authors: Lino, N
Issue Date: Jun-2004
Citation: Lino, 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 2004
Publisher: AAAI Press
Abstract: In 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.
Description: The 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.
Sponsor(s): CAPES Foundation
Keywords: artificial intelligence
intelligent planning systems
Computer Science
Artificial Intelligence Applications Institute
ISBN: 978-1-57735-200-6
Appears in Collections:Informatics Publications

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