International Journal of Information Technology and Computer Science (IJITCS)
IJITCS Vol. 4, No. 7, 8 Jul. 2012
Cover page and Table of Contents: PDF (size: 1541KB)
Database Semantic Interoperability based on Information Flow Theory and Formal Concept Analysis
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Author(s)
Guanghui Yang
1,*
Junkang Feng
1
Index Terms
Database Interoperability, Semantic, Information Flow, Formal Concept Analysis
Abstract
As databases become widely used, there is a growing need to translate information between multiple databases. Semantic interoperability and integration has been a long standing challenge for the database community and has now become a prominent area of database research. In this paper, we aim to answer the question how semantic interoperability between two databases can be achieved by using Formal Concept Analysis (FCA for short) and Information Flow (IF for short) theories. For our purposes, firstly we discover knowledge from different databases by using FCA, and then align what is discovered by using IF and FCA. The development of FCA has led to some software systems such as TOSCANA and TUPLEWARE, which can be used as a tool for discovering knowledge in databases. A prototype based on the IF and FCA has been developed. Our method is tested and verified by using this prototype and TUPLEWARE.
Cite This Paper
Guanghui Yang, Junkang Feng, "Database Semantic Interoperability based on Information Flow Theory and Formal Concept Analysis", International Journal of Information Technology and Computer Science(IJITCS), vol.4, no.7, pp.33-42, 2012. DOI:10.5815/ijitcs.2012.07.05
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