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New Technology of Library and Information Service  2010, Vol. 26 Issue (9): 67-73    DOI: 10.11925/infotech.1003-3513.2010.09.11
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Design and Implementation of Data Integration over Heterogeneous Patent Sources
Zhai Dongsheng, He Wenhui
School of Economics and Management, Beijing University of Technology, Beijing 100124, China
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Abstract  

With consideration of the problems concerning the data of patent analysis, such as single data source, rough pretreatment, and low-level data mining, this paper designs and achieves the data integration over heterogeneous patent sources. Specifically, the local patent database where the data are acquired from heterogeneous sources including two organizations and seven countries is regarded as basic data source. After using the SSIS tool for data cleaning and data transformation, the data from local database are loaded into data warehouse that is built according to the key performance indicators, which provides data support for more advantaged analysis.

Key wordsPatent      information      Data      integration      Data      warehouse      ETL      Data      cleaning      Data      transformation     
Received: 28 June 2010      Published: 26 October 2010
:  null  

Cite this article:

Zhai Dongsheng, He Wenhui. Design and Implementation of Data Integration over Heterogeneous Patent Sources. New Technology of Library and Information Service, 2010, 26(9): 67-73.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2010.09.11     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2010/V26/I9/67


[1] 张静,刘细文,柯贤能,等.国内外专利分析工具功能比较研究
[J]. 情报理论与实践 ,2008,31(1):141-145

[2] 张伟琼.专利信息采集及分析系统设计与开发 . 杭州:浙江大学,2008.

[3] 王志.基于本体的异构数据源集成的研究及应用 .苏州:苏州大学,2009.

[4] 严小泉.基于XML的异构数据源集成系统框架和关键技术研究 .无锡:江南大学,2009.

[5] 郑娅峰.异构数据集成的研究与实现 .西安:西北大学,2005.

[6] 刘晨.专利信息获取与分析系统关键技术研究 .北京:北京工业大学,2009.

[7] 岳泉,晏一平.中外专利信息网络检索工具的比较研究
[J]. 图书馆情报工作 ,2005,49 (9):84-88.

[8] Wiederhold G. Mediators in the Architecture of Future Information Systems
[J]. IEEE Computer,1992, 25(3):38-49.

[9] 还书国,邱海霞.Web信息抽取的研究
[J]. 消费导刊:理论版, 2008 (12):172.

[10] 官建成,王刚波.技术领域优势的国际比较研究
[J]. 科学学研究, 2008,26(1):90-97.

[11] Fabry B, Ernst H, Langholz J,et al.Patent Portfolio Analysis as a Useful Tool for Identifying R&D and Business Opportunities - An Empirical Application in the Nutrition and Health Industry
[J]. World Patent Information, 2006,28 (3):215-225.

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