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- W998692256 abstract "This chapter describes some of the new areas of application for ER and current directions in ER research. ER, particularly identity resolution, is proving to be a critical process in the movement to create systems that facilitate information sharing across entity-centric, interorganizational data stores. Ineffective interorganization information sharing is a common problem in many domains where information about a common set of entities is routinely collected and stored, such as in health care, law enforcement, public education, and the military. Identity resolution is proving to be a key component of the information hub architecture that is increasingly being used to harness entity-based information dispersed over different systems and organizations. High-performance computing (HPC) is having an impact on ER, making it possible to process immense numbers of records in real, or near-real, time. HPC is also opening doors to new data-intensive applications that use data-driven statistical models in lieu of traditional rule-based models. This is especially true in the area of entity reference extraction and named-entity recognition." @default.
- W998692256 created "2016-06-24" @default.
- W998692256 creator A5080276323 @default.
- W998692256 date "2011-01-01" @default.
- W998692256 modified "2023-09-26" @default.
- W998692256 title "Trends in Entity Resolution Research and Applications" @default.
- W998692256 doi "https://doi.org/10.1016/b978-0-12-381972-7.00007-5" @default.
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