Relativism and views in a conceptual data base model

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

Relativism and views in a conceptual data base model

Full text

Pdf (329 KB)

Source

International Conference on Management of Data archive
Proceedings of the 1980 workshop on Data abstraction, databases and conceptual modeling table of contents

Pingree Park, Colorado, United States

Pages: 141 - 143

Year of Publication: 1980

ISBN:0-89791-031-1

Also published in ...

Author

Peter Kreps

Department of Computer Science and Applied Mathematics, Lawrence Berkeley Laboratory, University of California, Berkeley, California

Sponsors

NBS : National Bureau of Standards
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGMOD: ACM Special Interest Group on Management of Data
SIGPLAN: ACM Special Interest Group on Programming Languages

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 2, Downloads (12 Months): 22, Citation Count: 0

Additional Information:

abstract references index terms collaborative colleagues

Tools and Actions:	Request Permissions Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/800227.806902 What is a DOI?

ABSTRACT

The purpose of the Pingree Park Workshop was to bring together practitioners from the fields of Artificial Intelligence (AI), Database Management (DB), and Programming Languages (PL), to discover common issues, and to explore commonalities and differences in approaches to these issues. At the risk of being superficial let me try to summarily characterize the three fields and point to where I think they may fruitfully interact. It seems to me that at its best, AI is an interdisciplinary science of cognition. It attempts to understand the bases for natural cognition, primarily by developing models of structures and processes that underlie cognition. By incorporation into interactive systems these models can be both exploited as artificially intelligent technology and explored for their adequacy in explaining natural cognition.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	ANSI/X3/SPARC Study Group on Data Base Management Systems Interim Report, FDT 7, #2 (1975).
	2	Dennis McLeod , Roger King, Applying a Semantic Data Model, Proceedings of the 1st International Conference on the Entity-Relationship Approach to Systems Analysis and Design, p.193-210, January 1980
	3	David W. Shipman, The functional data model and the data languages DAPLEX, ACM Transactions on Database Systems (TODS), v.6 n.1, p.140-173, March 1981 [doi>10.1145/319540.319561]
	4	John Miles Smith , Diane C. P. Smith, Database abstractions: aggregation, Communications of the ACM, v.20 n.6, p.405-413, June 1977 [doi>10.1145/359605.359620]
	5	John Miles Smith , Diane C. P. Smith, Database abstractions: aggregation and generalization, ACM Transactions on Database Systems (TODS), v.2 n.2, p.105-133, June 1977 [doi>10.1145/320544.320546]