Dynamically providing students with clear explanations of complex spatial concepts is critical for a broad range of knowledge-based educational and training systems. This calls fo...
Stuart G. Towns, Charles B. Callaway, James C. Les...
Effective discovery and sharing of process models within and/or across enterprises are important in process model management. A semantic annotation approach has been applied for sp...
Yun Lin, Darijus Strasunskas, Sari Hakkarainen, Jo...
A framework for performance analysis of parallel discrete event simulators is presented. The centerpiece of this framework is a platform-independent Workload Specification Langua...
Vijay Balakrishnan, Peter Frey, Nael B. Abu-Ghazal...
Semantic inference is an important component in many natural language understanding applications. Classical approaches to semantic inference rely on complex logical representation...
Roy Bar-Haim, Ido Dagan, Iddo Greental, Eyal Shnar...
A methodology is proposed for taking queries and requests expressed in natural language as input and answering them in charts through organizing that interaction into felicitous d...