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Path Match Graph - An Indexing System for Semi-structured Data*

机译:路径匹配图-半结构化数据的索引系统*

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摘要

Indexing on semi-structured data introduces new challenges to the database researchers. Unlike the relational data, semi-structured data do not have fixed schema. Thus, it is difficult to develop an indexing system that can efficiently locate the data. Due to this special nature of the new type of data, an intuitive and straightforward indexing system which implements the indices as a tree may take as much space as the source data itself. This would also incur as much cost searching the index as searching the data. Therefore, employing a regular tree-like indexing system does not provide much performance gain. To cope with these problems, we build an indexing system, called Path Match Graph (or PMG), to index the semi-structured data With the tools provided in our research, the system can be easily maintained and the data can be accessed efficiently through the indices.
机译:半结构化数据的索引给数据库研究人员带来了新的挑战。与关系数据不同,半结构化数据没有固定的架构。因此,难以开发可以有效定位数据的索引系统。由于新型数据的这种特殊性质,将索引实现为树的直观而直接的索引系统可能会占用与源数据本身一样多的空间。这也将导致搜索索引和搜索数据一样多的成本。因此,采用常规的树状索引系统不会提供很多性能提升。为了解决这些问题,我们建立了一个称为路径匹配图(或PMG)的索引系统,以对半结构化数据进行索引。使用我们研究中提供的工具,可以轻松维护该系统,并且可以通过以下方式高效访问数据索引。

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