Information Services banner Edinburgh Research Archive The University of Edinburgh crest

Edinburgh Research Archive >
Informatics, School of >
Informatics Publications >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1842/2269

This item has been viewed 7 times in the last year. View Statistics

Files in This Item:

File Description SizeFormat
2005-icapsws-rops-lino-planvisonto.pdf118.64 kBAdobe PDFView/Open
Title: Semantic Support for Visualisation in Collaborative AI Planning
Authors: Lino, N
Tate, Austin
Chen-Burger, Y-H
Issue Date: Jun-2005
Citation: Lino, N., Tate, A., and Chen-Burger, Y-H. (2005) Semantic Support for Visualisation in Collaborative AI Planning, in Proceedings of the Workshop on The Role of Ontologies in Planning and Scheduling, at the International Conference on Automated Planning & Scheduling (ICAPS), June 2005, Monterey, California, USA
Publisher: International Conference on Automated Planning and Scheduling
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 general framework for visualisation of planning information using an approach based on semantic modelling. It intends to enhance the notion of knowledge-based planning applying it to other aspects of planning, such as visualisation. The approach consists in an integrated ontology set and reasoning mechanism for multi-modality visualisation destined to collaborative planning environments. This framework will permit organizing and modelling the domain from the visualisation 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: intelligent planning systems
artificial intelligence
semantic modelling
collaborative planning
computer science
informatics
Artificial Intelligence Applications Institute
URI: http://www.aiai.ed.ac.uk/project/ix/documents/2005/2005-icapsws-rops-lino-planvisonto.pdf
http://hdl.handle.net/1842/2269
Appears in Collections:Informatics Publications

Items in ERA are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! Unless explicitly stated otherwise, all material is copyright © The University of Edinburgh 2013, and/or the original authors. Privacy and Cookies Policy