Superviews: Virtual Integration of Multiple Databases
IEEE Transactions on Software Engineering
The breakdown of the information model in multi-database systems
ACM SIGMOD Record
Using semantic values to facilitate interoperability among heterogeneous information systems
ACM Transactions on Database Systems (TODS)
OLAP answers tough business questions
Datamation
Vertical information management: a framework to support high-level information requests in the context of autonomous information systems
Objects and SQL (panel session): strange relations?
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Object Database Standard: ODMG-93
Object Database Standard: ODMG-93
Creating Domain Specific Metadata for Scientific Data and Knowledge Bases
IEEE Transactions on Knowledge and Data Engineering
The Inter-Database Instance Identification Problem in Integrating Autonomous Systems
Proceedings of the Fifth International Conference on Data Engineering
The Importance of Metaknowledge for Environmental Information Systems
SSD '91 Proceedings of the Second International Symposium on Advances in Spatial Databases
Reuse of High-Level Information Requests: Leveraging the Investment
SSDBM '96 Proceedings of the Eighth International Conference on Scientific and Statistical Database Management
| Hi-index | 0.00 |
Decision makers need high-level information on a wide variety of topics. In particular, they aren't constrained by the current contents of available information sources. They often ask for data that is not present. On the other hand, there is often a large body of relevant, detailed data that could be usefully summarized or abstracted for the decision maker. In this paper, we articulate major issues that arise with these "queries from outer space" and present the framework for Vertical Information Management developed in response to these issues. The term vertical refers to the delivery of information upwards to decision makers at higher and higher levels of the management hierarchy. The framework supports the specification of: i) the request for high-level information, ii) the extraction of relevant data, and iii) the derivation of the high-level information.