Agent training techniques study methods to embed empirical, inductive knowledge representations into intelligent agents, in dynamic, recursive or semi-automated ways, expressed in...
State-of-the-art Web search engines are inherently limited in their abilities to search information in Deep Web beyond portals. This paper discusses how Web services and Semantic-...
The aim of semantic science is to allow for the publications of ontologies, observation data, and hypotheses/theories. Hypotheses make predictions on data and on new cases. Those ...
We propose an automatic method for modeling a relational database that uses SQL triggers and foreign-keys to efficiently answer positive semantic queries about ground instances for...
Paea LePendu, Dejing Dou, Gwen A. Frishkoff, Jiawe...
This paper explains how semantic frameworks can be used to support successful e-Government initiatives by connecting system design to a shared understanding of interactions and pr...
Charles Crichton, Jim Davies, Jeremy Gibbons, Stev...