Managing Additional Information for Semi-structured Data and its Application to Search

许多类型的数据或文档都可以看作是半结构化数据并将其表示为半结构化数据，而XML是一种广泛使用的格式。我们研究了通过检索和呈现有用信息来理解对半结构化数据的支持。在这项研究中，我们使用了学术论文、演示幻灯片和科学数据的元数据，这些数据可以被视为半结构化数据。我们提出并评估了一些新的细粒度文档对齐方法，支持XML关键字搜索、多粒度标注传播等。

Many kinds of data or documents can be regarded and represented as semi-structured data, and XML is widely used for the format. We studied on understanding support for semi-structured data by retrieving and presenting useful information. In this study, we used academic papers, presentation slides, and metadata for science data, which can be regarded as semi-structured data. We proposed and evaluated some new methods for document alignment in fine granularity, supporting XML keyword search, propagation of multi-granularity annotations, and so on.