Blocking and Filtering Techniques for Entity Resolution
نویسندگان
چکیده
منابع مشابه
Comparative Analysis of Approximate Blocking Techniques for Entity Resolution
Entity Resolution is a core task for merging data collections. Due to its quadratic complexity, it typically scales to large volumes of data through blocking: similar entities are clustered into blocks and pair-wise comparisons are executed only between co-occurring entities, at the cost of some missed matches. There are numerous blocking methods, and the aim of this work is to offer a comprehe...
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We study the problem of disinformation. We assume that an “agent” has some sensitive information that the “adversary” is trying to obtain. For example, a camera company (the agent) may secretly be developing its new camera model, and a user (the adversary) may want to know in advance the detailed specs of the model. The agent’s goal is to disseminate false information to “dilute” what is known ...
متن کاملMFIBlocks: An effective blocking algorithm for entity resolution
Entity resolution is the process of discovering groups of tuples that correspond to the same real-world entity. Blocking algorithms separate tuples into blocks that are likely to contain matching pairs. Tuning is a major challenge in the blocking process and in particular, high expertise is needed in contemporary blocking algorithms to construct a blocking key, based on which tuples are assigne...
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Entity Resolution (ER) is the problem of matching the records that refer to the same entity within or across two or more data sources. In recent years, human-powered ER solutions have been proposed so that challenging ER tasks, that machines cannot do well, can be helped by human workers. While successful in achieving high matching accuracy, existing human-powered ER methods did not incorporate...
متن کاملAn Ensemble Blocking Scheme for Entity Resolution of Large and Sparse Datasets
Entity Resolution, also called record linkage or deduplication, refers to the process of identifying and merging duplicate versions of the same entity into a unified representation. The standard practice is to use a Rule based or Machine Learning based model that compares entity pairs and assigns a score to represent the pairs’ Match/Non-Match status. However, performing an exhaustive pair-wise...
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ژورنال
عنوان ژورنال: ACM Computing Surveys
سال: 2020
ISSN: 0360-0300,1557-7341
DOI: 10.1145/3377455