Crowd-Guided Entity Matching with Consolidated Textual Data
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DOI: 10.1007/s11390-017-1769-0
Abstract: Entity matching (EM) identifies records referring to the same entity within or across databases. Existing methods using structured attribute values (such as digital, date or short string values) may fail when the structured information is… read more here.
Keywords: entity matching; sub topics; entity; consolidated textual ... See more keywords
Access control based on entity matching for secure data sharing
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DOI: 10.1007/s11761-021-00331-3
Abstract: Useful information for analysis and learning purposes is often located in heterogeneous and autonomous sources. We consider the problem where data owners want to share data that has access control policies associated with it. Data… read more here.
Keywords: access control; entity; methodology; entity matching ... See more keywords
Progressive Entity Matching via Cost Benefit Analysis
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DOI: 10.1109/access.2021.3139987
Abstract: Entity matching (EM) is a fundamental problem in data preprocessing, and is a long running topic in big data analytics and mining communities. In big data era, (nearly) real-time data applications become popular, and call… read more here.
Keywords: cost benefit; cost; benefit analysis; entity matching ... See more keywords
Technical perspective: Entity matching with Magellan
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DOI: 10.1145/3405464
Abstract: vices ecosystem. PyMatcher is intended for a “power user” who possess knowledge about entity matching, programming, and basic machine learning while CloudMatcher is targeted for “lay users” who may not know how to program or… read more here.
Keywords: matching magellan; entity matching; perspective entity; entity ... See more keywords