Semantic Support for Visualisation in Collaborative AI Planning

Natasha Queiroz Lino, Austin Tate, Yun-Heh Chen-Burger

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

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.
Original languageEnglish
Title of host publicationProceedings of the Workshop on The Role of Ontologies in Planning and Scheduling
Subtitle of host publicationInternational Conference on Automated Planning & Scheduling (ICAPS)
EditorsSusanne Biundo, Karen Myers, Kanna Rajan
PublisherAAAI Press
Number of pages7
ISBN (Electronic)978-1-57735-278-5
ISBN (Print)978-1-57735-220-4
Publication statusPublished - Jun 2005
EventThe Fifteenth International Conference on Automated Planning and Scheduling - Monterey, United States
Duration: 5 Jun 200510 Jun 2005


ConferenceThe Fifteenth International Conference on Automated Planning and Scheduling
Abbreviated titleICAPS 2005
Country/TerritoryUnited States
Internet address


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