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A Semantic Language for Querying Anonymous Web Sources

机译:用于查询匿名Web源的语义语言

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摘要

A great deal of work has been carried out in recent years to facilitate access to data and information available on the Web. Proposals converge in two additional areas which consist in providing the sources with semantic annotations and in designing languages and tools that are capable of using these annotations. However, a large number of sources have not yet been annotated suitably. Besides, languages and existing tools do not allow the user to formulate "blind" queries without knowing the sources. To overcome these two limitations, in this paper we propose a flexible query language which allows a user to query sources in an anonymous way without knowing their existence and their structure. Queries can be solved by a system which in advance discovers potential sources and memorizes their schemas. We clarify how such a system can function.
机译:近年来已经进行了大量工作,以促进访问网络上可用的数据和信息。提案会聚在两个附加领域,该区域在提供具有语义注释的源和设计能够使用这些注释的语言和工具中的来源。然而,大量来源尚未适当地注释。此外,语言和现有工具不允许用户在不知道来源的情况下制定“盲”查询。为了克服这两个限制,在本文中,我们提出了一种灵活的查询语言,该语言允许用户以匿名方式查询源,而不知道其存在及其结构。可以通过提前发现潜在来源的系统来解决查询并记住其模式。我们阐明了这样的系统如何运行。

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