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Three Principles of Representation for Semantic Networks.

Robert L. Griffith: Three Principles of Representation for Semantic Networks. ACM Trans. Database Syst. 7(3): 417-442(1982)
@article{DBLP:journals/tods/Griffith82,
  author    = {Robert L. Griffith},
  title     = {Three Principles of Representation for Semantic Networks},
  journal   = {ACM Trans. Database Syst.},
  volume    = {7},
  number    = {3},
  year      = {1982},
  pages     = {417-442},
  ee        = {http://doi.acm.org/10.1145/319732.319743, db/journals/tods/Griffith82.html},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

Semantic networks are so intuitive and easy to use that they are often employed without much thought as to the phenomenon of semantic nets themselves. Since they are becoming more and more a tool of artificial intelligence and now database technology, it is appropriate to focus on the principles of semantic nets. Such focus finds a harmonious and consistent base which can increase the semantic quality and usefulness of such nets. Three rules of representation are presented which achieve greater conceptual simplicity for users, simplifications in semantic net implementations and maintenance, and greater consistency across semantic net applications. These rules, applied to elements of the net itself, reveal how fundamental structures should be organized, and show that the common labeled-edge semantic net can be derived from a more primitive structure involving only nodes and membership relationships (and special nodes which represent names). Also, the correlation between binary and n-ary relations is presented.

Copyright © 1982 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.

Joint ACM SIGMOD / IEEE Computer Society Anthology

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Referenced by

  1. Avigdor Gal, Opher Etzion: A Multiagent Update Process in a Database with Temporal Data Dependencies and Schema Versioning. IEEE Trans. Knowl. Data Eng. 10(1): 21-37(1998)
  2. Scott M. Staley, David C. Anderson: Executable E-R Specifications for Database Schema Design. ER 1985: 160-169
  3. P. S. Neuman: The Data Model of IDE: A Value Network. ER 1985: 246-255
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