Finding patterns in temporal data is an important data analysis task in many domains. Static visualizations can help users easily see certain instances of patterns, but are not sp...
We present the first unsupervised approach to the problem of learning a semantic parser, using Markov logic. Our USP system transforms dependency trees into quasi-logical forms, r...
We are developing a virtual city system with a model that consists of virtual architectural objects and virtual creatures, geographically overlaid onto the real world. People who ...
One reasonable categorization of coordination models is into data sharing or message passing, based on whether the information necessary to coordination is persistently stored and...
Evaluation is an integral part of research that provides a true measure of effectiveness. This paper presents a study conducted to evaluate the effectiveness of CAS, a knowledge ac...