文献类型：期刊文献

英文题名：A correctness criterion for schema dominance centred on the notion of 'information carrying' between random events

作者：Feng, Junkang[1,2]; Xu, Kaibo[1,2]

第一作者：Feng, Junkang

通讯作者：Feng, J.

机构：[1] E-Business Research Institute, Business College, Beijing Union University, No. A3 Yanjing Li East, Chaoyang District, Beijing, China; [2] Database Research Group, School of Computing, University of the West of Scotland, High Street, Paisley, United Kingdom

第一机构：北京联合大学商务学院

通讯机构：[1]E-Business Research Institute, Business College, Beijing Union University, No. A3 Yanjing Li East, Chaoyang District, Beijing, China|[1141721]北京联合大学商务学院;[11417]北京联合大学;

年份：2009

卷号：6

期号：9

起止页码：1555-1564

外文期刊名：WSEAS Transactions on Information Science and Applications

收录：EI(收录号：20094112370109);Scopus(收录号：2-s2.0-70349627023)

语种：英文

外文关键词：Channel capacity - Computer applications - Information systems

摘要：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 truly 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.