Embedding Expert Knowledge and Hypothetical Data Bases Into a Data Base System.

@inproceedings{DBLP:conf/sigmod/StonebrakerK80,
  author    = {Michael Stonebraker and
               Kenneth Keller},
  editor    = {Peter P. Chen and
               R. Clay Sprowls},
  title     = {Embedding Expert Knowledge and Hypothetical Data Bases Into a
               Data Base System},
  booktitle = {Proceedings of the 1980 ACM SIGMOD International Conference on
               Management of Data, Santa Monica, California, May 14-16, 1980},
  publisher = {ACM Press},
  year      = {1980},
  pages     = {58-66},
  ee        = {http://doi.acm.org/10.1145/582250.582261, db/conf/sigmod/StonebrakerK80.html},
  crossref  = {DBLP:conf/sigmod/80},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

This paper is concerned with adding knowledge to a data base management system and suggests two appropriate mechanisms, namely hypothetical data bases (HDB's) and experts. Herein we indicate the need for HDB's and define the extensions that are needed to a data base system to support HDB's.

In addition, we suggest that the notion of "experts" is an appropriate way to add semantic knowledge to a data base system. Unlike most other proposals which extend an underlying data model to capture more meaning, our proposal does not require extensions to the schema. Moreover, the DBMS does not even have to know how an expert functions. In this paper we define an expert and indicate how it would be added to one existing data base system.

Copyright © 1980 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.

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