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Content Provider | IEEE Xplore Digital Library |
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Author | Zhifeng Hao Xin Zhang Wen Wen Ruichu Cai |
Copyright Year | 2012 |
Description | Author affiliation: Faculty of Computer Science, Guangdong University of Technology, Guangzhou, China (Zhifeng Hao; Xin Zhang; Wen Wen; Ruichu Cai) |
Abstract | Schema Matching is one of the fundamental problems of many application fields of database, such as data integration, data warehousing, e-commerce and information sharing. The aim of schema matching is to find out semantic correspondence schema elements among disparate data source. This paper proposes a word similarity-based schema matching method which uses information of instances to find out the semantic mappings automatically. The application of the proposed method in Chinese mobile phone information integration problem shows its effectiveness in real applications. |
Starting Page | 1176 |
Ending Page | 1180 |
File Size | 329557 |
Page Count | 5 |
File Format | |
ISBN | 9781467300254 |
e-ISBN | 9781467300247 |
DOI | 10.1109/FSKD.2012.6233936 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2012-05-29 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Computer science Accuracy Databases Semantics schema matching Educational institutions Mobile handsets Vectors word similarity data integration |
Content Type | Text |
Resource Type | Article |
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