Query Relaxation for XML Databases

XML 数据库的查询放宽

• 批准号: 0219442
• 负责人: Wesley Chu
• 金额: $ 14万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-08-15 至 2006-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0219442&HistoricalAwards=false
• 关键词: Query; Relaxation; XML; Databases

Due to the expressiveness of Extensible Markup Language (XML) as compared to HTML, XML has become a standard format in data presentation for the web applications. However, in content based retrieval, if the database content does not match with the query conditions exactly, or if the query conditions are not well presented, the system returns null answer. The user must reformulate and resubmit the query for processing. Therefore, when the query conditions are not known exactly (e.g. matching an image with a set of features or a document with a set of key words), the user often specifies them in a general way to avoid a null answer. The drawback of such an approach is that the system may return too many and sometimes irrelevant answers. To remedy this problem, a systematic and scalable knowledge based (derived from the XML data) relaxation methodology will be developed to relax the query conditions (both in value and / or structure). Further, the user can provide such relaxation control as the order of attributes to be relaxed, relaxation level, the unrelaxable attribute list, number of answers, etc. As a result, such technique provides a focused and controlled relaxation, and thus yields more accurate and relevant answers.In this proposal, the existing XML query language will be extended to support query relaxation and relaxation control constructs, and techniques will be developed to cluster similar data trees from XML data into a hierarchy to serve as an index to guide relaxation.

由于可扩展标记语言（XML）与HTML相比的可表达性，XML已经成为Web应用程序的数据表示的标准格式。然而，在基于内容的检索中，如果数据库内容与查询条件不完全匹配，或者查询条件没有很好地呈现，则系统返回空答案。用户必须重新构造并重新提交查询以进行处理。因此，当查询条件不完全已知时（例如，将图像与一组特征或文档与一组关键词匹配），用户通常以一般方式指定它们以避免空答案。这种方法的缺点是系统可能返回太多的答案，有时甚至是不相关的答案。为了解决这个问题，一个系统的和可扩展的知识为基础的（来自XML数据）放松方法将被开发放松查询条件（无论是在值和/或结构）。此外，用户还可以提供松弛控制，如要松弛的属性的顺序、松弛级别、不可松弛的属性列表、答案的数量等。因此，这种技术提供了一种集中和受控的松弛，从而产生更准确和相关的答案。在该建议中，现有的XML查询语言将被扩展以支持查询松弛和松弛控制结构，并将开发技术，将XML数据中的类似数据树聚类成一个层次结构，作为指导放松的索引。