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@inproceedings{DBLP:conf/vldb/Bocca91,
author = {Jorge B. Bocca},
editor = {Guy M. Lohman and
Am\'{\i}lcar Sernadas and
Rafael Camps},
title = {Logic Programming Environments for Large Knowledge Bases: A Practical
Perspective (Abstract)},
booktitle = {17th International Conference on Very Large Data Bases, September
3-6, 1991, Barcelona, Catalonia, Spain, Proceedings},
publisher = {Morgan Kaufmann},
year = {1991},
isbn = {1-55860-150-3},
pages = {563},
ee = {db/conf/vldb/Bocca91.html},
crossref = {DBLP:conf/vldb/91},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
The tutorial presents the elements of design and engineering of the enabling technologies for building KBMS's. Expert systems and deductive systems in general have been developed very successfully over a number of years now. However, the scaling up of the required technologies to be able to construct large expert systems and knowledge bases with a deductive capability has proved amuch more difficult problem to solve than was originally anticipated.
The presentation begins with an introduction to the subject of logic programming environments for large knowledge bases, and brief overview of past and current developments of such enviroments. Areas of applicability are discussed, followed by detailed presentation of implementation techniques to be used by developers of large knowledge bases.
Simple problems are presented and possible solutions explored. These problems are then seen from the perspective of the existing technologies commercially available: relational data base systems and logic programming. The limitations of these types of system are shown and the cascade of solutionsdeveloped and under development during the second half of the eighties are presented and discussed under the heading of Naively Integrated Systems. More recent attempts to resolve the fundamental problems encountered by this type of system are then considered under the heading of Total Integration.
Copyright © 1991 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.
