Natasha Correia Queiroz Lino
Semantic Based Support for Visualisation in
Complex Collaborative Planning Environments
Ph.D., School of Informatics,
University of Edinburgh, Scotland, June 2007
Visualisation in intelligent planning systems [Ghallab et al., 2004]
is a subject that has not been given much attention by
researchers. Among the existing planning systems, some well known
planners do not propose a solution for visualisation at all, while
others only consider a single approach when this solution sometimes is
not appropriate for every situation.
Thus, users cannot make the most of planning systems because they do
not have appropriate support for interaction with them. This problem
is more enhanced when considering mixed-initiative planning systems,
where agents that are collaborating in the process have different
backgrounds, are playing different roles in the process, have
different capabilities and responsibilities, or are using different
devices to interact and collaborate in the process.
To address this problem, we propose a general framework for
visualisation in planning systems that will give support for a more
appropriate visualisation mechanism. This framework is divided into
two main parts: a knowledge representation aspect and a reasoning
mechanism for multi-modality visualisation. The knowledge
representation uses the concept of ontology to organise and model
complex domain problems. The reasoning mechanism gives support to
reasoning about the visualisation problem based on the knowledge bases
available for a realistic collaborative planning environment,
including agent preferences, device features, planning information,
visualisation modalities, etc. The main result of the reasoning
mechanism is an appropriate visualisation modality for each specific
situation, which provides a better interaction among agents (software
and human) in a collaborative planning environment.
The main contributions of this approach are: (1) it is a general and
extensible framework for the problem of visualisation in planning
systems, which enables the modelling of the domain from an information
visualisation perspective; (2) it allows a tailored approach for
visualisation of information in an AI collaborative planning
environment; (3) its models can be used separately in other problems
and domains; (4) it is based on real standards that enable easy
communication and interoperability with other systems and services;
and (5) it has a broad potential for its application on the Semantic
Awards and Grants:
- 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.
- Lino, N., Tate, A. and Chen-Burger, Y. (2004) Improving Semantics in Mobile Devices Profiling: A Model Conceptual Formalisation and Ontology Specification, Workshop on Semantic Web Technology for Mobile and Ubiquitous Applications at the 3rd International Semantic Web Conference, Hiroshima, Japan, 7-11 November 2004.
- Lino, N. and Tate, A. (2004) A Visualisation Approach for Collaborative Planning Systems Based on Ontologies, in Proceedings of the 8th International Conference on Information Visualisation (IV 2004), London, UK, 14-16 July 2004, IEEE Computer Society Press, 2004.
- Siebra, C., Tate, A. and Lino, N. (2004) Planning and Representation of Joint Human-Agent Space Missions via Constraint-Based Models, Fourth International Workshop on Planning and Scheduling for Space (IWPSS-04), Darmstadt, Germany, 23-25 June 2004.
- 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.
- Lino, N. and Tate, A. (2004) M-Planning: A Mobile Tool to Support Collaborative Planning. Proceedings of the International Conference on Artificial Intelligence and Applications (AIA-2004), as part of the Twenty-Second IASTED International Multi-Conference on Applied Informatics, Innsbruck, Austria, February 2004.
- Lino, N., Tate, A., Siebra, C. and Chen-Burger, Y. (2003) Delivering Intelligent Planning Information to Mobile Devices Users in Collaborative Environments, Workshop on Artificial Intelligence, Information Access and Mobile Computing (AI-IA-MC) at the International Joint Conference on Artificial Intelligence (IJCAI-03), Acapulco, Mexico, August 2003.
- Lino, N. (2000) DOODCI: Dimensional Object-Oriented Deductive Connective Interface. Master Dissertation at Federal University of Pernambuco, Brazil, 2000.