We describe Occam, a query planning algorithm that determines the best way to integrate data from dierent sources. As input, Occam takes a library of site descriptions and a user ...
In this paper we present a proposal for representing soft constraint satisfaction problems (CSPs) within the Semantic Web architecture. The proposal is motivated by the need for a...
Alun D. Preece, Stuart Chalmers, Craig McKenzie, J...
There is a need for agent systems that can scale to realworld applications, yet retain the clean semantic underpinning of more formal agent frameworks. We describe the SRI Procedu...
The problem of hypertext classification deals with objects possessing more complex information structure than the plain text has. Present hypertext classification systems show the...
Computing is moving toward a pervasive context-aware environment in which agents with limited resources will require external support to help them become context-aware. In this pa...