Semantic-Aware Blocking for Entity Resolution
نویسندگان
چکیده
منابع مشابه
BLAST: a Loosely Schema-aware Meta-blocking Approach for Entity Resolution
Identifying records that refer to the same entity is a fundamental step for data integration. Since it is prohibitively expensive to compare every pair of records, blocking techniques are typically employed to reduce the complexity of this task. These techniques partition records into blocks and limit the comparison to records co-occurring in a block. Generally, to deal with highly heterogeneou...
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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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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, or record linkage, is the process that identifies data records over one or more datasets which refer to the same real world entity. To deal with large datasets, many real-life applications require scalable and high-quality entity resolution techniques. Blocking techniques can help to scale-up the entity resolution process. Locality sensitive hashing (LSH) is an approximate bl...
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Entity resolution is the process of identifying groups of records in a single or multiple data sources that represent the same real-world entity. It is an important tool in data de-duplication, in linking records across databases, and in matching query records against a database of existing entities. Most existing entity resolution techniques complete the resolution process offline and on stati...
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ژورنال
عنوان ژورنال: IEEE Transactions on Knowledge and Data Engineering
سال: 2016
ISSN: 1041-4347
DOI: 10.1109/tkde.2015.2468711