Data management

About: Data management is a research topic. Over the lifetime, 31574 publications have been published within this topic receiving 424326 citations.

Putting theory into practice to build knowledge management systems

Abstract: This article describes our process for putting theory into practice to build knowledge management systems. We begin by discussing our definition of knowledge management and describe our theoretical foundation for developing systemic solutions for organizations to manage their knowledge. Next, we describe our process for creating a knowledge management strategy and how we design the technological aspects of a knowledge management system that will enable organizations to achieve their knowledge management strategy. We also describe how we provide training on the completed system and the organizational development interventions necessary to ensure that management and the members of the organization support the strategy. We conclude by providing an example scenario to illustrate how the resulting knowledge management system would operate in an organization’s work environment.

Active Databases as a Paradigm for Enhanced Computing Environments

Abstract: : Active databases emphasize the notion that a body of information is dynamic and should respond intelligently and in non-trivial ways to the user. It provides a paradigm for research and development which combines aspects of both databases and artificial intelligence technologies. A prototype system has shown the viability of this approach. The author focuses on the following database issues : (1) Descriptions are used as semantic templates for associatively accessing and manipulating data objects; (2) Dynamic views minimize the typical distinctions between queries and retrievals, and between views and real data, and thereby increase the perceived immediacy of the user interface; and (3) Constraint Equations are developed as a declarative representation for semantic constraints. The uniform approach they provide for expressing database integrity, consistency, and more general semantics derives its power from the rule-based framework of recent A.I. expert systems. The efficiency of constraint maintenance also is considered. Lastly, (4) The notion of binding time of data associations and reference is discussed relative to both the choice of data model and to the method of data access. (Author)

The Emerging Area Of Emergency Management And Engineering

Abstract: Successful emergency management requires a better understanding of events with potentially disastrous consequences, a comprehensive, holistic view of managing such events, and the effective use of technology. This guest editorial for this special issue of this TRANSACTIONS provides the raison d'ˆ etre for a new field of emergency management and engineering. It provides a systems view of emergency management, emphasizing the need for both pre- and postevent strategies and policies. The role of advanced communications and computing technologies, coupled with analytic procedures and models, is discussed. This paper concludes with the recognition of the need for emergency managers to be able to utilize these technologies.