III: Small: Linking Relational Databases with OWL and SPARQL

语义网是一种新兴的技术，它规定每个互联网网站的内容提供使用标准图表示（使用OWL和RDF计算机语言）编码的自描述元数据。在普通的因特网上，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。 该方法不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算法，利用互联网的新的，语义方面，使它更容易处理多个网站和它们的基础数据库作为一个单一的统一数据库。 这与现有的互联网不同，在现有的互联网中，浏览器使人们能够在一个地方查看来自不同网站的文档和数据。虽然互联网浏览器的使用现在是流行的和平凡的直观，创建计算机应用程序，处理来自多个网站的数据仍然是一个高度熟练和劳动密集型的过程。 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。该方法包括数据挖掘技术，发现语义已经存在，但没有明确编码在关系数据库中，并重铸这些语义基于图形的形式。第二个组成部分包括一个分布式查询执行环境的发展，用于处理图结构化查询，表示在SPARQL.The PI是一个受邀专家的W3C工作组的标准关系数据库到RDF的翻译（RDB2RDF），本研究的主题。有关该项目的更多信息，请访问http://www.cs.utexas.edu/~miranker/SemanticWeb.html。

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.