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Evolution of data modeling for databases

Author:

Shamkant B. NavatheAuthors Info & Claims

Communications of the ACM, Volume 35, Issue 9

Pages 112 - 123

https://doi.org/10.1145/130994.131001

Published: 01 September 1992 Publication History

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References

[1]

Anwar, '1., Beck, H.W., Navathe, S.B. Conceptual ciustering in database systems. In Proceedings of the Workshop of the American Society for information Science. Special interest Group on Classification Research (Washington D.C., Oct. 27, 1991).

Google Scholar

[2]

Anwar, T., .eel, S.B. Knowledge mining by imprecise querying: A classification based approach. In Proceedings of the IEEE International confernence on data Engineering ( Phoenix, Az., Feb. 1992).

Digital Library

Google Scholar

[3]

Atkinson, M.P. Banchihon, F., witt, D., Dittrich, K., Maier, D., Zonick, S. The object-oriented database system manifesto. In Proceedings of ACM SIGMOD Conference (Atlantic City, 1990).

Crossref

Google Scholar

[4]

ANSI Study group on Database Management Systems. Interim Report, FDT vol. 7, no. 2, ACM, 1975.

Google Scholar

[5]

Rachmaq, C. The data stucture diagrams. Data Base (Bulletin of ACM SIGFIDET, vol. 1, no. 2, Mar. 1969.

Google Scholar

[6]

Bancilhon, F. and Buneman, P., Eds. Advances in Database Programming Languages. ACM Press, New York, N.Y.

Crossref

Google Scholar

[7]

Batini, C., Lenzerini, M. and Navathe, S.B. A comparative analysis of methodologies for database schema integration. ACM Comput+ Surv. 18, 4 (Dec. 1986).

Digital Library

Google Scholar

[8]

Batini, C., Ceri, S. and Navathe, S.B. Conceeptual Database design: An Entity Relationship Approach. Benjamin Cummings, Redwood City,

Digital Library

Google Scholar

[9]

Batory, D.S, Concepts for a database system synthesizer, In Proceed- Principles of Database Systems, 1988. Also in Domain Analysis and Software Systems Modeling. R. Prieto-Diaz and G. Arango, Eds., IEEE Computer Society Press, 1991.

Digital Library

Google Scholar

[10]

Beck, H.W., Gata, S., Navathe, S.B. Classification as a query processing technique in the CANDIDE semantic data model+ In Proceedings of International Conference on Data Engineering (Los Angeles, Calif. Feb. 1989).

Digital Library

Google Scholar

[11]

Carswell J.L., Jr. and Navathe, S.B. SA-ER: A methodology that links structured analysis and entity-relationship modeling for database design. In Entity-Relationship Approach: Ten Years of Experience in information Modeling. S. Spaccapietra, Ed., North Holland, 1986.

Google Scholar

[12]

Caseiii, S., Papaconstantinou, C., Doty, L.L. and Navathe, S.B. A structure-function-control paradigm for knowledge-based modeling and simulation of manufacturing workcetls. J. Intelligent Manuf., Special Issue on Manufacturing Controls, 3, 1 (Jan. 1992).

Google Scholar

[13]

Chakravarthy, S., Navathe, S.B., Karlapalem, A., Tanaka, A. The cooperative problem solving challenge: A database centreed approach. In Co-operative knowledge Based systems, S.M. Deen, Ed., Springer Verlag, pp. 30-52.

Google Scholar

[14]

Chen, P.P.S. The entity-relationship model: Towards a unified view of data. A CM Trans. Database Sys., 1, 1 (1976).

Digital Library

Google Scholar

[15]

CODASYL. Report of the CODASYL Database Task Group, ACM, Apr. 1971.

Google Scholar

[16]

Codd, E.F. A relational model for large, shared data banks. Commun. ACM 13, 6 (June !970).

Digital Library

Google Scholar

[17]

Copeland, G. anti Maier, D, Making Smalttalk a da.tabase system. In Proceedings ACM SIGMOI) Conference (Boston. Mass., June 1984).

Digital Library

Google Scholar

[18]

Cornelio, A. Navathe, S.B. and Doly, K. Extending object-orie.nted c{mcepts to support engineering applications. In proceedings OEEE International Conference on Data Engineering (Los AngeIes. Feb. 1989).

Digital Library

Google Scholar

[19]

Elmasri, R. and Navathe, S.B. Fundamentals of database systems. Benjamin Curnmings, Redwood City, CaliI., I. 989.

Digital Library

Google Scholar

[20]

Fishman, D.H. Beech, D., Cate, H.{. Etal. IRIS: An Object-oriented database system. ACM tRANS. Off. Inf. Syst. 5, 1 (1987).

Google Scholar

[21]

Hammer, M., Mcleod, D. Database description with SDM" A semantic database model. ACM Tran.s. Data-. base syst. 19, 3 (Sept. 1987).

Google Scholar

[22]

Hull, R. and King, R. Semantic database modeling: Survey, applications, and research issues. ACM Comput. Surv, I6, 2 (lune I984).

Digital Library

Google Scholar

[23]

Kent, W. Limitations of recordbased information models, ACM Trans, Database Syst, 4, 1 (1979).

Digital Library

Google Scholar

[24]

Lecluse, C., Richard, P. and velez, F. O2, an object-oriented date model. In Proceedings ACM SIG- MOD (Chicago, June 1988).

Digital Library

Google Scholar

[25]

Loomis, Mary E.S. The Databaae Book. Macmiilan, 1987.

Digital Library

Google Scholar

[26]

Markowitz, V. Representing processes in an extended entitv-retationship model,. In Proceedings IEEE lnternational Con{brence on Data. Engineering (Los Angeles, l:eb. 1990).

Digital Library

Google Scholar

[27]

Morgenstern, M. Active databases as a paradigm tbr enhanced computing environments. In Proceedingsof the Ninth Imernationalvery Large Database Conference {Florence, Italy, Oct. 1983).

Digital Library

Google Scholar

[28]

Navathe, S.B. Schema anaIysis for database restructuing. ACM Trans- Database Syst, .5, 2 (June 1980).

Digital Library

Google Scholar

[29]

Navathe. S.B. and Cornel|o, A. Modeling engineering data by complex structural objects and complex flmctional obiects. In Proceedings of the lnternational Co-ference om Extending Database Technology (Venice+ Italy, Mar+ I990), Springer Verlag Notes in Computer Science, no. 416.

Digital Library

Google Scholar

[30]

Navathe, S.B.and Balaraman, A. A transaction architecture for ageneral purpose semantic data model. In Proceedings of the Tenth International conference on Entity-Relationship Approach (San Mateo, calif., Oct. 91) ER Institute.

Google Scholar

[31]

Ngu, Anne t-t.H. Conceptual transaction modeling. IEEE trans Knowledge and Data Engineering 1, 4 (Dec. 1989).

Digital Library

Google Scholar

[32]

NIST. A planning model for unifying information modeling languages for product data exchange specification (PDES). Joan Tyler. Rep. NISTiR 90-4234, Sept. 1990.

Google Scholar

[33]

Scheuermann, P., Scttiffner, G., Weber. t-t. Abstraction capabilities a.n.d invaria.m properties modeling within the entity-reIationship approach. In Entity-relatinnship Approach to System kna.lysis and Design., P.P,S. Chen, Ed., North Holland, 1980.

Digital Library

Google Scholar

[34]

Shipman, D. The functional data model and the data language DAPLEX. ACM DaUlbase Syst. 6, 1 (M. at., .1981 ),

Digital Library

Google Scholar

[35]

Smith,J.M, and Smith, I).C.P. Database abstractkms: Aggregation and generalization. ACM Trans, Database Syst, 2, 2 (Mar, 1981), 106- 133,

Digital Library

Google Scholar

[36]

Tanaka,. A., Navathe, S.B., Chakravarthy, S, Karlapalem, A, ER-R, an enhanced ER model with situation-action rules to Capture appIication semantics. In Proceedings of Tenth lnternational Conference on Entity-Retationship Approach (San Mateeo, Calif., Oct. 91).

Google Scholar

[37]

Verheiien, G., VanBekkum, J. N!AM: An inlbvmation analysis method. Inbrmation System: Design. Methodotogy T. OIle, H. Sol, A. Verrijin-Stuart, Eds, North Holland, Amsterdam, 1982,

Google Scholar

[38]

Widom, L. and Finkeistein, s.j, Setoriented production rules in relational database systems. In proceedings ACM SIGMOD Conference (Atiantic City 1990).

Digital Library

Google Scholar

[39]

Zdonik, S. and Maier,. D., Eds., Readings in. Object-oriented Database Systems. Morgan Kaufmann, 1990.

Digital Library

Google Scholar

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Index Terms

Evolution of data modeling for databases
1. Information systems
  1. Data management systems
    1. Database design and models
    2. Database management system engines

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Reviews

Reviewer: William Ward Armstrong

The evolution of data modeling is surveyed from the era of file systems to the present day. The paper is written at a level suitable for a broad audience, and emphasizes how modeling has grown in scope to encompass not only structures imposed on data, but the operations on the data that form an important part of many environments in which databases are used. The reader will appreciate the attention given to clear definitions. Newer trends, such as object-oriented and active databases and knowledge mining, and newer commercial systems are mentioned. The author's comprehensive textbook, written with R. Elmasri [1], discusses the same subjects in much greater detail, though it would be wise to consult the next edition (to be published in December). It will undoubtedly include corrections to several flawed algorithms that mar the first edition.

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Published In

Communications of the ACM Volume 35, Issue 9

Special issue on analysis and modeling in software development

Sept. 1992

155 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/130994

Editor:
Peter Denning
NASA Ames Research Center, Moffett Field, CA

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 September 1992

Published in CACM Volume 35, Issue 9

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Design a Data Warehouse Schema from Document-Oriented database

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