QuTE: Answering Quantity Queries from Web Tables
QuTE: Answering Quantity Queries from Web Tables
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QuTE：回答来自 Web 表的数量查询
DOI：
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
G. Weikum
中科院分区：
文献类型：
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作者：
Vinh Thinh Ho;K. Pal;G. Weikum
数量是指表示实体相关属性的财务、技术、物理和其他措施，如公司收入、汽车能效或恒星和星系的距离和亮度。具有数量过滤条件的查询是下游分析的重要构建块，当感兴趣的内容分布在大量Web表和其他特别数据集中时，会带来挑战。搜索引擎支持数量搜索，但在数量过滤器上很大程度上失败了。本文提出的QUTE系统就是为了克服这些问题。它包括从网络表格中自动提取实体数量事实的方法，以及在线查询处理的方法，以及查询匹配和答案排名的新技术。
Quantities are financial, technological, physical and other measures that denote relevant properties of entities, such as revenue of companies, energy efficiency of cars or distance and brightness of stars and galaxies. Queries with filter conditions on quantities are an important building block for downstream analytics, and pose challenges when the content of interest is spread across a huge number of web tables and other ad-hoc datasets. Search engines support quantity lookups, but largely fail on quantity filters. The QuTE system presented in this paper aims to overcome these problems. It comprises methods for automatically extracting entity-quantity facts from web tables, as well as methods for online query processing, with new techniques for query matching and answer ranking.