Agent training techniques study methods to embed empirical, inductive knowledge representations into intelligent agents, in dynamic, recursive or semi-automated ways, expressed in...
Scientists are increasingly utilizing Grids to manage large data sets and execute scientific experiments on distributed resources. Scientific workflows are used as means for modeli...
Different ontologies used in semantic web services fields raise numerous interoperation and communication problems with respect to service discovery, composition, and execution. ...
Xia Wang, Tomas Vitvar, Manfred Hauswirth, Doug Fo...
Knowledge representation is essential for semantics modeling and intelligent information processing. For decades researchers have proposed many knowledge representation techniques...
Although Semantic Web service discovery has been extensively studied in the literature ([7], [12], [15] and [10]), we are far from achieving an effective, complete and automated di...