This article describes the world of automated planning from the perspective of semantic technologies. It starts with background information on automated planning, where it can be applied, and its benefits. It also addresses some of the shortcomings of both planning and semantic technologies, and how both worlds can benefit from the experiences of the other. I also present challenges in integration of the two worlds, as well as an existing software planning system (HotPlanner) that is a result of such a successful integration.
This paper describes the overall use case submitted to the Federal Cloud Computing Advisory Committee and three progressive uses cases for developing applications. This paper recommends continued work on actionable data publishing (e.g. data catalogs using RDF) of EPA and US federal government data with context, provenance, and quality information. This paper is part of the author’s Open Government Directive Plan (see http://semanticommunity.net).