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
Previous research has addressed the scalability and availability issues associated with the construction of cluster-based network services. This paper studies the clustering of re...
Kai Shen, Tao Yang, Lingkun Chu, JoAnne Holliday, ...
To be able to handle the ever growing volumes of XML documents, effective and efficient data management solutions are needed. Managing XML data in a relational DBMS has great pote...
In this paper we discuss the management of semi-structured data, i.e., data that has irregular or dynamically changing structure. We describe components of the Stanford Tsimmis Pr...
Joachim Hammer, Jason McHugh, Hector Garcia-Molina
Our research explores a new database extension. Our aim is to see how far it is possible to support collaborative editing and document provenance with database technology, and exte...