To implement effects-based operations, Joint Air Operations planners must think in terms of achieving desired effects in the strategic campaign through operational course of action levels of planning. The strategy development tools discussed in this paper were designed specifically to encourage effects-based thinking. The tools are used to build plans, plan fragments and, most importantly, “strategy templates”. Strategy templates are knowledge-level skeletal planning models that guide the design of strategies that specify the necessary mechanisms and actions to achieve desired effects in the battlespace. The strategic planning knowledge captured in the templates may be employed through wizards to help human planners rapidly apply these general strategic models to specific planning problems. To support the abstract concepts required in the templates, and to guide plan authors in applying these abstract templates to real battlespace planning problems and data, we employ a semantic engine to support the tool capabilities. This engine exploits ontologies represented in the DARPA Agent Markup Language (DAML) and employs the Java Expert System Shell (Jess) as the inference engine to implement the axioms and theorems that encapsulate the DAML semantics. This paper will discuss this technology in supporting Effects-based Operations and its application into Command and Control for Joint Air Operations for kinetic and non-kinetic military operations.