E. Rezig, Eduard Constantin Dragut, M. Ouzzani, A. Elmagarmid, Walid G. Aref
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引用次数: 6
Abstract
With the exponential growth of data on the Web comes the opportunity to integrate multiple sources to give more accurate answers to user queries. Upon retrieving records from multiple Web databases, a key task is to merge records that refer to the same real-world entity. We demonstrate ORLF (Online Record Linkage and Fusion), a flexible query-time record linkage and fusion framework. ORLF deduplicates newly arriving query results jointly with previously processed query results. We use an iterative caching solution that leverages query locality to effectively deduplicate newly incoming records with cached records. ORLF aims to deliver timely query answers that are duplicate-free and reflect knowledge collected from previous queries.
随着Web上数据的指数级增长，有机会集成多个来源，从而为用户查询提供更准确的答案。在从多个Web数据库检索记录时，一个关键任务是合并引用同一真实实体的记录。我们演示了一种灵活的查询时间记录链接和融合框架ORLF (Online Record Linkage and Fusion)。ORLF将新到达的查询结果与先前处理过的查询结果一起去重。我们使用迭代缓存解决方案，利用查询局域性有效地用缓存记录去重复新传入的记录。ORLF旨在提供及时的、无重复的查询答案，并反映从以前的查询中收集的知识。
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