Information Exchange Among Collaborating Enterprises

Abstract. On-demand business/service and other emerging models for service enterprise integration all involve on-demand information exchan-ge. The best practices in the eld tend to rely on homogeneous semantics, which is dicult to achieve for independent databases owned by indepen-dent enterprises. Otherwise, the exchange tends to be limited at the level of le transfers. To overcome these limits and achieve on-demand pull of information resources at the global database query level, we develop a new information exchange model to extend previous global query results and cover independent databases. The new model provides a four-schema architecture to allow enterprises to oer the information that they wish to share with others (query for users), as well as request what they want (query for data). A central element is information matching; which has to unify the representation and processing of both oering and requesting queries, and integrate them with traditional global database query re-sults. We develop such a new information matching model in this paper