Database Semantics in Heterogenous Environment

The notion of attribute is presented as a universal construct for describing conceptual and database models. Unifying tools based on the typed lambda calculus give possibilities to define appropriate notions for expressing an equivalency of schemes in different models. Moreover, the expressiveness of conceptual and data models is defined an compared to the recent approaches. A taxonomy of conceptual and database models based on these notions is proposed. particular models will be compared with respect to their expressiveness. Practical consequences of the theory developed could help in constructing so called co-operative information systems as well as in transforming user requirements between two different kinds of information environment.

[1]  Richard Hull.  Relative Information Capacity of Simple Relational Database Schemata , 1986, SIAM J. Comput..

[2]  Catriel Beeri.  Query Languages for Models with Object-Oriented Features , 1993, NATO ASI OODBS.

[3]  Jaroslav Pokorný,et al.  Applying simple theory of types to data bases , 1981, Inf. Syst..

[4]  Mary Margaret McCabe.  V—Persistent Fallacies , 1994 .

[5]  Renée J. Miller,et al.  Schema equivalence in heterogeneous systems: bridging theory and practice , 1994, Inf. Syst..

[6]  Jaroslav Pokorný.  Semantic Relativism in Conceptual Modeling , 1993, DEXA.

[7]  Vipul Kashyap,et al.  So Far (Schematically) yet So Near (Semantically) , 1992, DS-5.

[8]  Jirí Zlatuska.  Hit Data Model Data Bases from the Functional Point of View , 1985, VLDB.

[9]  Jaroslav Pokorný.  Conceptual modeling of statistical data , 1996, Proceedings of 7th International Conference and Workshop on Database and Expert Systems Applications: DEXA 96.

[10]  Johann A. Makowsky,et al.  Identifying Extended Entity-Relationship Object Structures in Relational Schemas , 1990, IEEE Trans. Software Eng..

[11]  P. Materna,et al.  Attributes: distinguishing capability versus informational capability , 1990 .

[12]  Peter P. Chen.  The entity-relationship approach , 1993 .

[13]  Pavel Materna.  Entity sorts: What are they? , 1987 .

[14]  Alexandra Poulovassilis,et al.  Extending the Functional Data Model to Computational Completeness , 1990, EDBT.

[15]  Jaroslav Pokorný.  A Function: Unifying Mechanism for Entity-Oriented Database Models , 1988, ER.

[16]  Uma Srinivasan,et al.  A Unifying Model of Data, Metadata and Context , 1993, DEXA.

[17]  Amit P. Sheth,et al.  Data Semantics: What, Where, and How? , 1995 .

[18]  James A. Larson,et al.  A Theory of Attribute Equivalence in Databases with Application to Schema Integration , 1989, IEEE Trans. Software Eng..

[19]  Jeffrey D. Ullman,et al.  Principles Of Database And Knowledge-Base Systems , 1979 .

[20]  Fèlix Saltor,et al.  Suitability of datamodels as canonical models for federated databases , 1991, SGMD.

[21]  Erich J. Neuhold,et al.  Information Handling - A Challenge for Databases and Expert Systems , 1993, DEXA.

[22]  Richard Hull,et al.  The Format Model: A Theory of database Organization , 1984, J. ACM.

[23]  Marie Duzí,et al.  Semantic Information Connected with Data , 1992, ICDT.

[24]  Arnon Rosenthal,et al.  Using semantic values to facilitate interoperability among heterogeneous information systems , 1994, TODS.