|
|
|
@inproceedings{DBLP:conf/vldb/Agrawal89,
author = {Rakesh Agrawal},
editor = {Peter M. G. Apers and
Gio Wiederhold},
title = {Building knowledge-based applications with cooperating databases},
booktitle = {Proceedings of the Fifteenth International Conference on Very
Large Data Bases, August 22-25, 1989, Amsterdam, The Netherlands},
publisher = {Morgan Kaufmann},
year = {1989},
isbn = {1-55860-101-5},
pages = {267},
ee = {db/conf/vldb/Agrawal89.html},
crossref = {DBLP:conf/vldb/89},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Both practical pilgrimages into issues involving the integration of AI and DBMS technologies has attracted attention in recent years. The promised "pot of gold" has always been that the combined technologies were "more" than the sum of the individual technologies. Database technology could bring performance perspective to AI; AI couldbring enriching concepts to database systems. The result would be a cross-fertilization that would lead directly to anew class of functionally rich, yet computationally efficient, information systems.
Have practical, interesting, innovative, and/or useful results come from the attempts to marry or crossfertilize these fields? Are the pragmatic results from the field encouraging or discouraging? What are the lessons learned?
We bring together in this panel a world-wide variety of expertise and experience to discuss this topic for the 90's. Panelists will describe their own experiences with both the developmentand implementation of end-user oriented applications in a variety of environments and with a variety of tools. They will describe both the rapture of happy outcomes and the agony of less than successfull attempts. The panel and the audience in concert will provide prescriptions for the future.
Copyright © 1989 by the VLDB Endowment. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by the permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment.
