Dynamic Sorted Neighborhood Indexing for Real-Time Entity Resolution
| العنوان: | Dynamic Sorted Neighborhood Indexing for Real-Time Entity Resolution |
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| المؤلفون: | Ross W. Gayler, Peter Christen, Huizhi Liang, Banda Ramadan |
| المصدر: | Journal of Data and Information Quality. 6:1-29 |
| بيانات النشر: | Association for Computing Machinery (ACM), 2015. |
| سنة النشر: | 2015 |
| مصطلحات موضوعية: | Matching (statistics), Information Systems and Management, Computer science, Search engine indexing, Multitree, Query optimization, computer.software_genre, Synthetic data, Tree (data structure), Sliding window protocol, Sargable, Data mining, computer, Information Systems |
| الوصف: | Real-time Entity Resolution (ER) is the process of matching query records in subsecond time with records in a database that represent the same real-world entity. Indexing techniques are generally used to efficiently extract a set of candidate records from the database that are similar to a query record, and that are to be compared with the query record in more detail. The sorted neighborhood indexing method, which sorts a database and compares records within a sliding window, has been successfully used for ER of large static databases. However, because it is based on static sorted arrays and is designed for batch ER that resolves all records in a database rather than resolving those relating to a single query record, this technique is not suitable for real-time ER on dynamic databases that are constantly updated. We propose a tree-based technique that facilitates dynamic indexing based on the sorted neighborhood method, which can be used for real-time ER, and investigate both static and adaptive window approaches. We propose an approach to reduce query matching times by precalculating the similarities between attribute values stored in neighboring tree nodes. We also propose a multitree solution where different sorting keys are used to reduce the effects of errors and variations in attribute values on matching quality by building several distinct index trees. We experimentally evaluate our proposed techniques on large real datasets, as well as on synthetic data with different data quality characteristics. Our results show that as the index grows, no appreciable increase occurs in both record insertion and query times, and that using multiple trees gives noticeable improvements on matching quality with only a small increase in query time. Compared to earlier indexing techniques for real-time ER, our approach achieves significantly reduced indexing and query matching times while maintaining high matching accuracy. |
| وصف الملف: | application/pdf |
| تدمد: | 1936-1963 1936-1955 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e0f2511a7f8f101354d66101da36fd0 https://doi.org/10.1145/2816821 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....2e0f2511a7f8f101354d66101da36fd0 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 19361963 19361955 |
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