Semantic caching is an important technology for improving the response time of future user queries specified over remote servers. This paper deals with the fundamental query conta...
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
We investigate the semantics for Knowledge Query Manipulation Language KQML and we propose a semantic framework for the language. KQML is a language and a protocol to support comm...
Involving stakeholders at an early stage of learning environment design enables researchers to base a system around the needs of learners. By working directly with learners, resear...
In this paper, we present a rule-based modelling language for constraint programming, called Rules2CP. Unlike other modelling languages, Rules2CP adopts a single knowledge represen...