Title :
Improving interoperability by using a three data model approach
Author_Institution :
Argonne Nat. Lab., IL, USA
Abstract :
Achieving interoperability in multidatabase systems is unlikely to be achieved without a full understanding of component database systems´ semantics. The full semantics of many database applications cannot be understood without combining the database´s data semantics from a logical model of data L with data semantics embedded in a file-system model F and in a physical storage model P. To prove this assertion, the authors use proof by contradiction on its negation. Two examples are provided to demonstrate false positives, multidatabases with identical logical models L which are not interoperable, one due to differences in F and the other in P. One example is provided to demonstrate a missing value, an interoperable database without an explicit logical model L, but rich in semantics desirable from its file-system model F. A technique is proposed for describing how semantics embedded in L, F and P can be combined
Keywords :
data structures; database management systems; database theory; data semantics; file-system; interoperable database; logical model of data; multidatabase systems; negation; physical storage model; proof by contradiction; Application software; Counting circuits; Data models; Databases; File systems; Information retrieval; Logic; Performance evaluation; Physics computing; Throughput;
Conference_Titel :
Interoperability in Multidatabase Systems, 1991. IMS '91. Proceedings., First International Workshop on
Conference_Location :
Kyoto
Print_ISBN :
0-8186-2205-9
DOI :
10.1109/IMS.1991.153707