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Intelligently creating and recommending reusable reformatting rules

机译:智能创建和推荐可重用的重新格式化规则

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When users combine data from multiple sources into a spreadsheet or dataset, the result is often a mishmash of different formats, since phone numbers, dates, course numbers and other string-like kinds of data can each be written in many different formats. Although spreadsheets provide features for reformatting numbers and a few specific kinds of string data, they do not provide any support for the wide range of other kinds of string data encountered by users. We describe a user interface where a user can describe the formats of each kind of data. We provide an algorithm that uses these formats to automatically generate reformatting rules that transform strings from one format to another. In effect, our system enables users to create a small expert system called a "tope" that can recognize and reformat instances of one kind of data. Later, as the user is working with a spreadsheet, our system recommends appropriate topes for validating and reformatting the data. With a recall of over 80% for a query time of under 1 second, this algorithm is accurate enough and fast enough to make useful recommendations in an interactive setting. A laboratory experiment shows that compared to manual typing, users can reformat sample spreadsheet data more than twice as fast by creating and using topes.
机译:当用户将来自多个来源的数据合并到电子表格或数据集中时,结果通常是杂乱无章的格式,因为电话号码,日期,课程编号和其他类似字符串的数据都可以以许多不同的格式编写。尽管电子表格提供了用于重新格式化数字和一些特定种类的字符串数据的功能,但它们并不为用户遇到的其他种类的字符串数据提供任何支持。我们描述了一个用户界面,用户可以在其中描述每种数据的格式。我们提供了一种使用这些格式的算法来自动生成重新格式化规则,以将字符串从一种格式转换为另一种格式。实际上,我们的系统使用户能够创建一个称为“ tope”的小型专家系统,该系统可以识别和重新格式化一种数据的实例。稍后,当用户使用电子表格时,我们的系统会建议使用适当的topes来验证和重新格式化数据。在不到1秒的查询时间内召回率超过80%,该算法足够准确且足够快,可以在交互式设置中提出有用的建议。实验室实验表明,与手动键入相比,用户可以通过创建和使用Topes来重新格式化示例电子表格数据,速度快两倍以上。

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