Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...
Components provide an easy to use programming paradigm allowing for better re-usability of application code. In the context of distributed programming, autonomous hierarchical com...
The tcc model is a formalism for reactive concurrent constraint programming. We present a model of temporal concurrent constraint programming which adds to tcc the capability of mo...
Mogens Nielsen, Catuscia Palamidessi, Frank D. Val...
Real-scale Semantic Web applications, such as Knowledge Portals and E-Marketplaces, require the managementof large volumes of metadata, i.e., information describing the available ...
Gregory Karvounarakis, Sofia Alexaki, Vassilis Chr...
Tagging has become increasingly popular and useful across various social networks and applications. It allows users to classify and organize resources for improving the retrieval p...