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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mudan Cao Ding Xiao Yijun Liu Yi Tong |
| Copyright Year | 2009 |
| Abstract | Aiming at integrating heterogeneous data sources into a logic unified data view, data integration has drawn considerable attention. This paper proposes a novel knowledge-based framework for data integration within which schema integration and content integration are two focal modules. A constructive semantic recommendation algorithm is put forward for schema integration, and a rule-based cleansing procedure is summarized for content integration. Experiments validate the effectiveness and efficiency of the proposed algorithms and thus verify the framework is feasible and pragmatic. |
| Starting Page | 732 |
| Ending Page | 735 |
| File Size | 281277 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424449095 |
| e-ISBN | 9781424457281 |
| DOI | 10.1109/ICISE.2009.51 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-12-26 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Knowledge engineering Computer science Information science Web services Warehousing Data preprocessing Laboratories Ontologies Data engineering Data mining |
| Content Type | Text |
| Resource Type | Article |
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