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Table understanding approaches for extracting knowledge from heterogeneous tables
WIREs Data Mining and Knowledge Discovery ( IF 7.8 ) Pub Date : 2021-03-28 , DOI: 10.1002/widm.1407
Sara Bonfitto 1 , Elena Casiraghi 1 , Marco Mesiti 1
Affiliation  

Table understanding methods extract, transform, and interpret the information contained in tabular data embedded in documents/files of different formats. Such automatic understanding would allow to exploit tabular information with the aim of accurately answering queries, or integrating heterogeneous repositories of information in a common knowledge base, or exchanging information among different sources. The purpose of this survey is to provide a comprehensive analysis of the research efforts so far devoted to the problem of table understanding and to describe systems that support the transformation of heterogeneous tables into meaningful information.

中文翻译:

从异构表中提取知识的表理解方法

表格理解方法提取、转换和解释嵌入在不同格式的文档/文件中的表格数据中包含的信息。这种自动理解将允许利用表格信息来准确回答查询,或在公共知识库中集成异构信息存储库,或在不同来源之间交换信息。本次调查的目的是对迄今为止致力于表理解问题的研究工作进行全面分析,并描述支持将异构表转换为有意义信息的系统。
更新日期:2021-03-28
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