In this paper we present SINTESI, a system for the knowledge extraction from Italian inputs, currently under development in our re,search centre. It is used on short descriptive d...
The need to deal with vague information in Semantic Web languages is rising in importance and, thus, calls for a standard way to represent such information. We may address this is...
We develop a domain theory for treating recursive types with respect to contextual equivalence. The principal approach taken here deviates from classical domain theory in that we ...
This paper approaches the relation classification problem in information extraction framework with different machine learning strategies, from strictly supervised to weakly superv...
Existing approaches to object encapsulation and confinement either rely on restrictions to programs or require the use of specialised ownership type systems. Syntactic restriction...
Alex Potanin, James Noble, Dave Clarke, Robert Bid...