Web-Age Information Management
16th International Conference, WAIM 2015, Qingdao, China, June 8-10, 2015. Proceedings
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**n Luna Dong
English
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Reference Work Entry In depth
XML Indexing
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Chapter
Data Modeling in Dataspace Support Platforms
Data integration has been an important area of research for several years. However, such systems suffer from one of the main drawbacks of database systems: the need to invest significant modeling effort upfron...
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Article
Data integration with uncertainty
This paper reports our first set of results on managing uncertainty in data integration. We posit that data-integration systems need to handle uncertainty at three levels and do so in a principled fashion. Fir...
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Chapter
Uncertainty in Data Integration and Dataspace Support Platforms
Data integration has been an important area of research for several years. However, such systems suffer from one of the main drawbacks of database systems: the need to invest significant modeling effort upfron...
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Chapter and Conference Paper
Detecting Clones, Copying and Reuse on the Web (DASFAA 2012 Tutorial)
The Web has enabled the availability of a vast amount of useful information in recent years. However, the Web technologies that have enabled sources to share their information have also made it easy for source...
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Article
Linking temporal records
Many data sets contain temporal records which span a long period of time; each record is associated with a time stamp and describes some aspects of a real-world entity at a particular time (e.g., author informati...
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Chapter
Data Fusion: Resolving Conflicts from Multiple Sources
Many data management applications, such as setting up Web portals, managing enterprise data, managing community data, and sharing scientific data, require integrating data from multiple sources. Each of these ...
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Chapter and Conference Paper
Data Fusion: Resolving Conflicts from Multiple Sources
Many data management applications, such as setting up Web portals, managing enterprise data, managing community data, and sharing scientific data, require integrating data from multiple sources. Each of these ...
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Chapter and Conference Paper
Erratum to: Web-Age Information Management
Erratum to: J. Li and Y. Sun (Eds.) Web-Age Information Management, DOI:10.1007/978-3-319-21042-1
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Chapter
Conclusions
Addressing the BDI challenge is critical to realizing the promise of big data, of enabling us to make valuable, data-driven decisions to alter all aspects of society. This book explores the progress that has b...
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Book and Conference Proceedings
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Chapter
Motivation: Challenges and Opportunities for BDI
The big data era is the inevitable consequence of datafication: our ability to transform each event and every interaction in the world into digital data, and our concomitant desire to analyze and extract value fr...
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Record Linkage
The second component of data integration is record linkage. Even after the schemas of different sources have been aligned, when different sources provide values for the same attribute of the same entity, these va...
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Chapter
BDI: Emerging Topics
The 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 myri...
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Chapter
Schema Alignment
The first component of data integration is schema alignment. As we showed in Section 1.2.3, there can be thousands to millions of data sources in the same domain, but they often describe the domain using differen...
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BDI: Data Fusion
The third component of data integration is data fusion. Even when different sources provide information for the same attribute of the same entity, they may provide conflicting values. Such conflicts can arise bec...
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Book
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Living Reference Work Entry In depth
Data Fusion
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Living Reference Work Entry In depth
XML Indexing
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Living Reference Work Entry In depth
Entity Resolution
