Retrieving and managing semi-structured and business process data

XML是web数据的主要格式，特别适合表示web页面、博客、wiki、RSS提要等中出现的许多形式的半结构化数据。XML也是通过web服务交换数据的有线格式，因此它是构建在面向服务的体系结构之上的现代业务流程管理方法的基础。我们的研究目标是为XML数据管理开发一系列新技术，这些技术可以为半结构化数据和业务流程数据的检索和管理做出重大贡献。我们建议首先解决使用摘要描述和可视化大型XML文档集合结构的问题。我们还对处理将结构约束与关键字搜索结合起来的检索查询的技术感兴趣。对于XML数据管理系统来说，以一种能够像传统关键字搜索一样高效地回答这些查询的方式来支持这些查询是一个雄心勃勃的目标。首先，我们将解决如何度量从XML集合获得的检索结果的有效性这一挑战。我们打算应用上述技术来促进业务流程之间交换的数据的检索和描述。

XML is the dominant format for web data, and is particularly suitable to represent the many forms of semi-structured data present in web pages, blogs, wikis, RSS feeds, etc.XML is also the wire format for data exchanged via web services, and as such is at the foundation of modern Business Process Management approaches that are built on top of service-oriented architectures.The objectives of our research are to develop an array of novel techniques for XML data management that can significantly contribute to the retrieval and management of both semi-structured and business process data.We propose to start by addressing the problem of describing and visualizing the structure of large collections of XML documents using summaries.We are also interested in techniques for processing retrieval queries that combine structural constraints with keyword search. Supporting these queries in a way that can be answered as efficiently and effectively as in traditional keyword searching is an ambitious goal for XML data management systems. To begin, we will address the challenge of how to measure the effectiveness of retrieval results obtained from XML collections.We intend to apply the preceding techniques to facilitate the retrieval and the description of data exchanged among business processes.