An Efficient Structural Index for Graph-Structured Data

Abstract

To speed up queries over XML and semi-structured data, a number of structural indexes have been proposed. The structural index is usually a labeled directed graph defined by partitioning nodes in the XML data graph into equivalence classes and storing equivalence classes as index nodes. On the basis of the Inter- Relevant Successive Trees (IRST), we propose an efficient adaptive structural index, IRST(k)-index. Compared with the previous indexes, such as the A(k)'-index, D(k)- index, and M(k)-index, our experiment results show that the IRST(k)-index performs more efficiently in terms of space consumption and query performance, while using significantly less construction time.