A framework and implementation of information content reasoning in a database

Authors:
Xiaochuan Wu;Junkang Feng
Affiliations:
Database Research Group, School of Computing, University of the West of Scotland, Paisley, UK;Database Research Group, School of Computing, University of the West of Scotland, Paisley, UK and Business College, Beijing Union University, Beijing, China
Venue:
WSEAS Transactions on Information Science and Applications
Year:
2009

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Abstract

Databases' capability is limited in terms of inference. Especially, when users explore information beyond the scope of data within databases, the databases normally cannot provide the information. The underlying reason of the problem is that queries are answered based on a direct match between a query and data (up to aggregations of the data). We observe that it is possible to find information from a database beyond that. To this end, we propose a framework for information content reasoning in a database. A number of basic concepts are defined first. Then we present the framework and explain how it works. Moreover, we describe how such a framework is implemented by means of a prototype including a test with sample queries.