Semantic Support for Visualisation in Collaborative AI Planning
Date
06/2005Author
Lino, N
Tate, Austin
Chen-Burger, Y-H
Metadata
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.