Symbolic AI systems typically have difficulty reasoning about motion in continuous environments, such as determining whether a cornering car will clear a close obstacle. Bimodal s...
Web/Gridservices'metadataandsemanticsarebecomingincreasingimportantforservicesharing and effective reuse. In this paper we present a generic framework for engineering and man...
Liming Chen, Nigel R. Shadbolt, Carole A. Goble, F...
Abstract This paper presents an approach to designing and implementing extensible computational models for perceiving systems based on a knowledge-driven joint inference approach. ...
Relevance feedback (RF) is an iterative process, which refines the retrievals by utilizing the user's feedback on previously retrieved results. Traditional RF techniques solel...
Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei...
Visual programming languages (VPLs) provide notations for representing both the intermediate and the final results of a knowledge engineering process. Whereas some VPLs particula...
The Nhan Luong, Patrick Etcheverry, Christophe Mar...