III: Small: Linking Relational Databases with OWL and SPARQL

语义网是一种新兴技术，它规定每个Internet站点的内容提供使用标准图形表示（使用OWL和RDF计算机语言）编码的自描述元数据。在通用互联网上，网站提供其内容的主题描述是可选的。此外，提供的可选方法仅允许开发人员列出关键字。这些方法没有提供一种方法来详细说明这些关键字的含义，即它们的语义。该项目的目标是开发和演示利用互联网新的语义方面的算法，并使将多个网站及其底层数据库视为单个统一数据库变得更加容易。这与现有的Internet不同，在Internet中，浏览器使人们能够在一个地方从不同的web站点以文档的形式查看文档和数据。虽然互联网浏览器的使用现在是地方性的，而且是非常直观的，但创建处理来自多个网站的数据的计算机应用程序仍然是一个高度熟练和劳动密集型的过程。这个项目包括两个部分。第一个组件通过开发自动将现有数据库映射到语义Web图形语言的方法来帮助创建语义Web。这些方法包括数据挖掘技术，这些技术发现已经存在的语义，但没有显式地编码在关系数据库中，并将这些语义以基于图的形式重新转换。第二个组件包括分布式查询执行环境的开发，用于处理用SPARQL表示的图结构查询。PI是关系数据库到RDF转换（RDB2RDF）标准W3C工作组的特邀专家，RDB2RDF是本研究的主题。关于这个项目的更多信息可以在http://www.cs.utexas.edu/~miranker/SemanticWeb.html上找到。

The Semantic Web is an emerging technology that stipulates that the content ofeach Internet web site provide self-describing metadata encoded using standardgraph representations, (using the OWL and RDF computer languages). In thecommon Internet it is optional for web sites to provide topical descriptions oftheir content. Further, the optional methods that are provided simply allow developers to list keywords. The methods do not provide a way to detail the meaning of those keywords, i.e. their semantics.The goal of this project is to develop and demonstrate algorithms that leverage the new, semantic aspects of the Internet and make it much easier to treat multiple web sites and their underlying databases as a single unified database. This is distinguished from the existing Internet where a browser enables people to view documents and data, in the form of documents, from different web sites in a single place. While the use of Internet browsers is now endemic and trivially intuitive, creating computer applications that process data from multiple web sites remains a highly skilled and labor-intensive process.This project comprises two components. The first component helps create the Semantic Web by developing methods that automatically map existing databases to the Semantic Web graph languages. The methods comprise data mining techniques that discover the semantics already present, but not explicitly encoded in relational databases and recast those semantics in graph-based form. The second component comprises the development of a distributed query execution environment for processing graph structured queries, expressed in SPARQL.The PI is an invited expert on the W3C working group on standards for relational database to RDF translation (RDB2RDF), the subject of this research. More information on this project can be found at http://www.cs.utexas.edu/~miranker/SemanticWeb.html.