A Mass Collaboration Web Dataspace System

Zhengtao Liu, Yuguang Mao, Jiandong Wan, C. Ye
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引用次数: 1

Abstract

There are many challenges in building a Web data-space. The first is uncertain schema mapping in data integration. The second is uncertain data. The third is how to select effective deep Web database and how many databases will be selected to answer the user query.In this paper, we develop a Web dataspace system with the help of mass collaboration. Firstly, we propose a Web dataspace system architecture, which is inspired by the concept of data spaces and emphasizes soliciting mass collaboration. Secondly, we discuss the challenges to this approach and propose solutions. Users feedback in our system is divided two types: explicit user feedback and implicit user feedback. We also discuss the questions that will be asked to the users and the user types in our system. In the end, we give the conclusions.
大规模协作Web数据空间系统
在构建Web数据空间时存在许多挑战。首先是数据集成中的不确定模式映射。第二是不确定的数据。三是如何选择有效的深网数据库,选择多少数据库来回答用户的查询。在本文中,我们开发了一个基于大规模协作的Web数据空间系统。首先,我们提出了一种Web数据空间系统架构,该架构受数据空间概念的启发,强调号召大规模协作;其次,我们讨论了该方法面临的挑战并提出了解决方案。我们系统中的用户反馈分为显性用户反馈和隐性用户反馈两种类型。我们还讨论了将向用户提出的问题以及系统中的用户类型。最后,给出了本文的结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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