The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 32-337
Full Name: Junkang Feng
Position: Professor
Age: ON
Sex: Male
Address: School of Computing, University of the West of Scotland
Country: UNITED KINGDOM
Tel: 0044 141 8483548
Tel prefix: 0044
Fax: 0044 141 8483542
E-mail address: junkang.feng@uws.ac.uk
Other E-mails: dr.junkangfeng@gmail.com
Title of the Paper: A Correctness Criterion for Schema Dominance Centred on the Notion of 'Information Carrying' between Random Events
Authors as they appear in the Paper: Junkang Feng, Kaibo Xu
Email addresses of all the authors: junkang.feng@uws.ac.uk, kaibo.xu@bcbuu.edu.cn
Number of paper pages: 10
Abstract: In systems development and integration, whether the instances of a data schema may be recovered from those of another is a question that may be seen profound. This is because if this is the case, one system is dominated and therefore can be replaced by another without losing the capacity of the systems in providing information, which constitutes a correctness criterion for schema dominance. And yet, this problem does not seem to have been well investigated. In this paper we shed some light on it. In the literature, works that are closest to this problem are based upon the notion of 'relevant information capacity', which is concerned with whether one schema may replace another without losing the capacity of the system in storing the same data instances. We observe that the rational of such an approach is over intuitive (even though the techniques involved are sophisticated) and we reveal that it is the phenomenon that one or more instances of a schema can tell us t!
ruly what an instance of another schema is that underpins a convincing answer to this question. This is a matter of one thing carrying information about another. Conventional information theoretic approaches are based upon the notion of entropy and the preservation of it. We observe that schema instance recovery requires looking at much more detailed levels of informational relationships than that, namely random events and particulars of random events.
Keywords: Database design, Schema dominance, Schema transformation, System integration, Information content, Information capacity
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