Web transactions may be complex, composed of several sub-transactions accessing different resources including legacy systems. They may also have complex semantics. To deal with co...
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
: Drawing on writings within the CSCW community and on recent social theory, this paper proposes that the adoption of speech act theory as a foundation for system design carries wi...
Abstract. In this paper we describe the work that was done in the Corporate Ontology Grid (COG) project on the querying of existing legacy data sources from the automotive industry...
We present in this paper a combination of Machine Learning based Information Retrieval (IR) techniques and stochastic language modelling in a hierarchical system that extracts sur...