and Semantic Web
are two topics often interrelated, that share a common
angle. Both fields are interested in providing a knowledge-based, semantic
layer for interpreting and reasoning about information and processing
services made publicly available either in the web or in intranets.
In the last years, Artificial Intelligence Planning and Scheduling
P&S) techniques have addressed new challenges in terms of knowledge representation,
being able to work with enriched domains
, as well as in terms of new
models for plan generation and execution
. The combination of all these
fields, AI P&S + Ontologies + Semantic Web, might add value to each one of them.
In this sense, this workshop is aimed to explore, on the one hand, the use of
ontology-based knowledge models in AI P&S either for knowledge representation, for knowledge interchange or for accessing
large data collections in the web or in (possibly heterogeneous) legacy
databases. On the other hand, it is also focused on the use of AI
P&S techniques as the core technology to put in practice the potential of semantic
web concepts. Specially, the workshop will be interested in covering
research and development fields where AI P&S plays a crucial role in either the semantic description or the intelligent
management of services and processes, like Grid and Business Process
Management (BPM) Systems.