This paper describes an environment for supporting very large ontologies. The system can be used on single PCs, workstations, a cluster of workstations, and high-end parallel supe...
Kilian Stoffel, Merwyn G. Taylor, James A. Hendler
Parallel and distributed programming is conceptually harder to undertake and to understand than sequential programming, because a programmer often has to manage the coexistence an...
- Poor data in information systems impede the quality of decision-making in many modern organizations. Manual business process activities and application services are never execute...
The focus of this study is to explore why public agencies implement enterprise architecture programs and the interoperability challenges they are faced with when governing these p...
—We discuss a general architectural approach to knowledge and information management and delivery in distributed systems. Our approach is based on the recognition that time-stamp...
Geoffrey Fox, Mehmet S. Aktas, Galip Aydin, Andrea...