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2013 IEEE 29th International Conference on Data Engineering (ICDE), 2013
The Big Data era is upon us: data is being generated, collected and analyzed at an unprecedented scale, and data-driven decision making is sweeping through society. Since the value of data explodes when it can be linked and fused with other data, addressing the big data integration (BDI) challenge is critical to realizing the promise of Big Data.
Xin Luna Dong, Divesh Srivastava
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The Big Data era is upon us: data is being generated, collected and analyzed at an unprecedented scale, and data-driven decision making is sweeping through society. Since the value of data explodes when it can be linked and fused with other data, addressing the big data integration (BDI) challenge is critical to realizing the promise of Big Data.
Xin Luna Dong, Divesh Srivastava
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Proceedings of the 2021 International Conference on Management of Data, 2021
We are witnessing the widespread adoption of deep learning techniques as avant-garde solutions to different computational problems in recent years. In data integration, the use of deep learning techniques has helped establish several state-of-the-art results in long standing problems, including information extraction, entity matching, data cleaning ...
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We are witnessing the widespread adoption of deep learning techniques as avant-garde solutions to different computational problems in recent years. In data integration, the use of deep learning techniques has helped establish several state-of-the-art results in long standing problems, including information extraction, entity matching, data cleaning ...
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Integration Integrity for Multigranular Data
2016When data from several source schemata are to be integrated, it is essential that the resulting data in the global schema be consistent. This problem has been studied extensively for the monogranular case, in which all domains are flat. However, data involving spatial and/or temporal attributes are often represented at different levels of granularity ...
Stephen J. Hegner, M. Andrea RodrÃguez
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Abstraction in Data Integration
2021 36th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS), 2021Data integration provides a unified and abstract view over a set of existing data sources. The typical architecture of a data integration system comprises the global schema, which is the structure for the unified view, the source schema, and the mapping, which is a formal account of how data at the sources relate to the global view.
Cima G. +3 more
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Drug Discovery Today, 2008
Pharmaceutical R&D organizations have no shortage of experimental data or annotation information. However, the sheer volume and complexity of this information results in a paralyzing inability to make effective use of it for predicting drug efficacy and safety. Data integration efforts are legion, but even in the rare instances where they succeed, they
Ted, Slater +2 more
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Pharmaceutical R&D organizations have no shortage of experimental data or annotation information. However, the sheer volume and complexity of this information results in a paralyzing inability to make effective use of it for predicting drug efficacy and safety. Data integration efforts are legion, but even in the rare instances where they succeed, they
Ted, Slater +2 more
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Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, 2002
Data integration is the problem of combining data residing at different sources, and providing the user with a unified view of these data. The problem of designing data integration systems is important in current real world applications, and is characterized by a number of issues that are interesting from a theoretical point of view.
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Data integration is the problem of combining data residing at different sources, and providing the user with a unified view of these data. The problem of designing data integration systems is important in current real world applications, and is characterized by a number of issues that are interesting from a theoretical point of view.
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IEEE Internet Computing, 2001
XML is rapidly becoming a standard for data representation and exchange. It provides a common format for expressing both data structures and contents. As such, it can help in integrating structured, semistructured, and unstructured data over the Web. Still, it is well recognized that XML alone cannot provide a comprehensive solution to the articulated ...
BERTINO E, FERRARI, ELENA
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XML is rapidly becoming a standard for data representation and exchange. It provides a common format for expressing both data structures and contents. As such, it can help in integrating structured, semistructured, and unstructured data over the Web. Still, it is well recognized that XML alone cannot provide a comprehensive solution to the articulated ...
BERTINO E, FERRARI, ELENA
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Integration of Data for Research
2010This chapter gives an educational overview of:
Marienne, Hibbert +2 more
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