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1 Data Fusion JENS BLEIHOLDER and FELIX NAUMANN Hasso-Plattner-Institut The development of the Internet in recent years has made it possible and useful to access many different information systems anywhere in the world to obtain information. While there is much research on the integration of heterogeneous information systems, most commercial systems stop short of the actual integration of available data. Data fusion is the process of fusing multiple records representing the same real-world object into a single, consistent, and clean representation. This article places data fusion into the greater context of data integration, precisely de nes the goals of data fusion, namely, complete, concise, and consistent data, and highlights the challenges of data fusion, namely, uncertain and con ‚icting data values. We give an overview and classi cation of different ways of fusing data and present several techniques based on standard and advanced operators of the relational algebra and SQL. Finally, the article features a comprehensive survey of data integration systems from academia and industry, showing if and how data fusion is performed in each. Categories and Subject Descriptors: H.2.5 [Database Management]: Heterogeneous Databases General Terms: Algorithms, Languages Additional Key Words and Phrases: Data cleansing, data con ‚icts,

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Data fusion

Bleiholder, Jens; Naumann, Felix
ACM Computing Surveys (CSUR) , Volume 41 (1)
Association for Computing MachineryDec 1, 2008

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