Arthur Nádas
IEEE Transactions on Neural Networks
This paper describes the ℒ script D sign ℒ++ system and the research advances that have enabled its design and development. We begin by discussing the new nonmonotonic and nondeterministic constructs that extend the functionality of the ℒ script D sign ℒ++ language, while preserving its model-theoretic and fixpoint semantics. Then, we describe the execution model and the open architecture designed to support these new constructs and to facilitate the integration with existing DBMSs and applications. Finally, we describe the lessons learned by using ℒ script D sign ℒ++ on various tested applications, such as middleware and datamining.
Arthur Nádas
IEEE Transactions on Neural Networks
Masami Akamine, Jitendra Ajmera
IEICE Trans Inf Syst
P.C. Yue, C.K. Wong
Journal of the ACM
Guojing Cong, David A. Bader
Journal of Parallel and Distributed Computing