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便餐:临时用户的数据混搭工具

Potluck: Data Mash-Up Tool for Casual Users
课程网址: http://videolectures.net/iswc07_huynh_dmn/  
主讲教师: David Huynh
开课单位: 麻省理工学院
开课时间: 2008-01-31
课程语种: 英语
中文简介:
随着越来越多的可重复使用的结构化数据出现在Web上,临时用户将希望自己掌握混搭数据的任务,而不是等待建立混搭网站以满足他们各自独特的需求。在本文中,我们介绍了Potluck,这是一个Web用户界面,可以让那些没有编程技能和数据建模专业知识的临时用户自己混搭数据。 Potluck在合并字段时使用拖放功能是新颖的,它集成和扩展了分面浏览范例,专注于数据子集对齐,以及同步编辑在语法上清理数据的应用。 Potluck还允许用户在用户对齐和清理数据时构建丰富的数据可视化。当用户在开始时不熟悉数据时 - 这是一个常见的情况 - 并且希望从数据中获得直接价值而不必花费完全和完美集成的开销,这种在构建有用可视化时集成数据的迭代过程是可取的。数据首先。一项关于Potluck的用户研究表明它是可用的和可学习的,并且引起程序员的兴奋,即使他们的编程技能,他们以前在执行数据集成方面也遇到很大困难。
课程简介: As more and more reusable structured data appears on the Web, casual users will want to take into their own hands the task of mashing up data rather than wait for mash-up sites to be built that address exactly their individually unique needs. In this paper, we present Potluck, a Web user interface that lets casual users— those without programming skills and data modeling expertise—mash up data themselves. Potluck is novel in its use of drag and drop for merging fields, its integration and extension of the faceted browsing paradigm for focusing on subsets of data to align, and its application of simultaneous editing for cleaning up data syntactically. Potluck also lets the user construct rich visualizations of data in-place as the user aligns and cleans up the data. This iterative process of integrating the data while constructing useful visualizations is desirable when the user is unfamiliar with the data at the beginning—a common case—and wishes to get immediate value out of the data without having to spend the overhead of completely and perfectly integrating the data first. A user study on Potluck indicated that it was usable and learnable, and elicited excitement from programmers who, even with their programming skills, previously had great difficulties performing data integration.
关 键 词: 结构化数据; Web; 集成数据
课程来源: 视频讲座网
最后编审: 2019-04-30:lxf
阅读次数: 28