Personalized file data query matching method based on SOA

Abstract

ABSTRACT In view of the problem that XML wildcard query processing needs to read all the element tags in the file into the memory and the matching efficiency is low, a custom personalized file data query matching process (CPQASOA) based on SOA is proposed. The algorithm uses bottom-up pattern matching based on effective filtering strategies. It converts wildcards into A-D relationships and hierarchical information constraints, solves traditional wildcard matching problems, avoids multiple scan query modes and improves query speed. Theoretical analysis and experimental results show that the query efficiency of the algorithm is obviously better than that of existing algorithms.