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Semantic Model Based Heterogeneous Databases Integration Platform

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4 Author(s)
Han Zhao ; Ministry of Education, Northwestern Polytechnical University, China ; Shusheng Zhang ; Jingtao Zhou ; Mingwei Wang

Enterprise need integrate all relevant heterogeneous databases in semantic level to react to requirements of their customers, collaborate with partners, identify and exploit new business opportunities quickly and effectively. In this context, a semantic model based Integration platform is developed to cover the whole integration process. The platform includes three modules corresponding to different integration stages: 1) metadata abstraction module is used to get available metadata for attribute correspondence identification. 2) semantic matching module is applied to analyze the metadata and find attributes in different databases that represent the same real-world concept. 3) user checking module adopt semantic model construction principle to describe the matching results as a draft semantic model and provide user editing tool to check and improve the draft model. This document describes the architecture of our platform, walks through its most important two features: machine learning technology based attributes matching and semantic model construction principle.

Published in:

Third International Conference on Natural Computation (ICNC 2007)  (Volume:5 )

Date of Conference:

24-27 Aug. 2007