The Snoopy Concept: Fighting heterogeneity in semistructured and collaborative information systems by using recommendations

W. Gassler, Eva Zangerle, Günther Specht
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引用次数: 10

Abstract

The collaborative creation and manipulation of semistructured data imposes the major problem of structure heterogeneity. The more users enter information, the more heterogeneous the structure of information becomes. This proliferation of the schema has a significantly negative impact on the performance of querying facilities as structured, unified access of data is no longer possible. In this paper we present the Snoopy Concept, a novel approach for collaborative, semistructured information systems within an online environment. It deals with structure heterogeneity by incorporating the user in the alignment process of data already during the insertion. This is accomplished by providing the users with useful recommendations how to structure information. Furthermore, the system encourages users to enter more information as it points users to missing bits of information.
史努比概念:通过使用推荐来对抗半结构化和协作信息系统中的异构性
半结构化数据的协作创建和操作带来了结构异构的主要问题。用户输入的信息越多,信息结构就越异构。模式的激增对查询设施的性能产生了显著的负面影响,因为不再可能对数据进行结构化、统一的访问。在本文中,我们提出了史努比概念,这是一种在在线环境中协作的半结构化信息系统的新方法。它通过将用户纳入插入过程中已经存在的数据的对齐过程来处理结构异构。这是通过向用户提供如何构建信息的有用建议来实现的。此外,该系统鼓励用户输入更多的信息,因为它指出用户缺少的信息位。
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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