This paper presents an improved formalism for modeling users' external views. The formalism uses a semantic network where the nodes are data abstractions called concepts, and the edges are modeling functions between concepts. Four different modeling functions are used in the model. Each of these modeling functions comes with a set of integrity rules needed for updating the data.
Get full access to this article
View all access options for this article.
References
1.
ANSI/X3/SPARC, Study Group on Data Base Management Systems, Interim Report, FDT Bulletin on ACM SIGMOD7 (21) (1975).
2.
A. Sen, On the theory of logical data base design for a decision support system, Ph.D. thesis, Pennsylvania State University ( 1979).
3.
C. Fillmore, The case for case, in: B. Bach and B. Harons, eds., Universals in Linguistic Theory (Holt, Rinehart & Winston, New York, 1968).
4.
C.H. Fredericksen , Representing logical and semantic structure of knowledge acquired from discourse, Cognitive Psychology7 (1975) 371-398.
5.
C.J. Date, An Introduction to Database Systems, 2nd edition (Addison-Wesley, Reading, MA, 1977).
6.
C.W. Bachman , Data structure diagrams, Data Base1 (2) ( 1969).
7.
E.F. Codd , A relational model of data for Large Shared Data Banks, Comm. ACM13 (6) (1970) 377-387.
8.
J.M. Smith and D.C.P. Smith, Database abstractions: aggregation and generalization, ACM Trans. Database Systems2 (2) (1977) 105-133.
9.
J.M. Smith and D.C.P. Smith, Database abstractions: aggregation, Comm. ACM20 (6) (1977) 405-413.
10.
J.M. James and C.B. Schwind, Extensional semantic networks: their representation, application and generation , in: N.V. Findler, ed., Associative Networks: Representation and Use of Knowledge by Computers (Academic Press, New York, 1979).
11.
L. Kerschberg , A. Klug and D. Tsichritzis, A taxonomy of data models, Techn. Rep. CSRG-70, Computer Systems Research Group, University of Toronto (1976).
12.
M.E. Senko, Specification of store data structures and desired output results in DIAM-II with FORMAL, Proc. of the VLDB Conference, Boston, September 1975.
13.
N. Roussopoulos , CSDL: a conceptual schema definition language for the design of data base applications, IEEE Trans. Software Eng. 5 (5) ( 1979) 481-496.
14.
N. Roussopoulos and J. Mylopoulos, Using semantic networks for data base management, Proc. of the VLDB Conf, Boston, September 1975.
15.
P.P.S. Chen , The entiry-relationship model - Toward a unified view of data, ACM Trans. Database Systems1 (1) (1976) 9-36.
16.
P.P.S. Chen, Applications of the entity-relationship model, New York Symposium on Data Base Design, New York, May 17-18. 1978 , pp. 25-33.
17.
R.F. Simmons , Some semantic structures for representing English meanings, in: R. Freedle and J.B. Carroll, eds., Language Comprehension and Acquisition of Knowledge (Freeman, San Francisco, CA, 1973).
18.
R.H. Bonczek , A.B. Whinston and C.W. Holsapple, The integration of network data base management and problem resolution, Inform. Systems4 (1979) 143-154.
19.
R.H. Brachman , On the epistemological status of semantic networks , in: N.V. Findler, ed., Associative Networks: Representation and Use of Knowledge by Computers (Academic Press, New York, 1979).
20.
R.N. Anthony , Planning and control systems: a framework for analysis, Gratidate School of Business Administration, Harvard University, Boston (1965 ).
21.
S.B. Yao, S.B. Navathe and J.L. Weldon, An integrated approach to logical data base design, Proc. of the New York University Symposium on Data Base Design, May 17-18, 1978, pp. 1-24.
22.
W. Chafe, Meaning and the Structure of Language (University of Chicago Press, Chicago, 1970).
