The missing of an appropriate semantics of agent communication languages is one of the most challenging issues of contemporary AI. Although several approaches to this problem exis...
Matthias Nickles, Michael Rovatsos, Gerhard Wei&sz...
We developed a novel analytical environment to aid in the examination of the extensive amount of interconnected data available for genome projects. Our focus is to enable ity and ...
Pablo N. Mendes, Bobby McKnight, Amit P. Sheth, Je...
The ontological representation of learning objects is a way to deal with the interoperability and reusability of learning objects (including metadata) through providing a semantic...
In this paper, we present an extension of PHIL, a declarative language for filtering information from XML data. The proposed approach allows us to extract relevant data as well a...
Event-pattern reactive programs are front-end programs for distributed reactive components that preprocess an incoming stream of event stimuli. Their purpose is to recognize tempor...