Titlebook: Big Data Integration; Xin Luna Dong,Divesh Srivastava Book 2015 Springer Nature Switzerland AG 2015

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Schema Alignment,t they often describe the domain using different schemas. As an illustration, in the motivating example in Section 1.1, the four sources describe the flight domain using very different schemas: they contain different numbers of tables and different numbers of attributes; they may use different attri

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Record Linkage,r the same attribute of the same entity, these values may differ due to mis-typing, multiple naming conventions, and so on. To illustrate, in our Flights example in Chapter 1, flight numbers are represented in source Airline2 using digits (e.g., . in .), while they are represented in source Airfare4

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BDI: Data Fusion,ide conflicting values. Such conflicts can arise because of mis-typing, incorrect calculations, out-of-date information, inconsistent interpretations of the semantics, and sometimes rumors. The problem can be exacerbated by data sharing and plagiarism between different sources. As an example, consid

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Conclusions,ects of society. This book explores the progress that has been made by the data integration community on the topics of schema alignment, record linkage and data fusion in addressing these novel challenges faced by big data integration. It also presents emerging topics that are expected to be critical to the success of BDI.

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Making Sustainable Decisions in Daily LifeThe previous chapters in this book have made it abundantly clear that big data integration offers both significant new challenges and new opportunities to derive value by integrating data available from a myriad of sources.

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