Improvement of big data retrieval algorithm in the intelligent archives management

Abstract

Under the guidance of scientific and technological innovation concept, new technology and algorithms are applied to information retrieval and real estate registration system. These excellent algorithms and hardware technology make our file management more convenient, intelligent, and efficient. In this paper, researches on the establishment of intelligent file management system and document retrieval were done based on big data environment and with the combination of the project development experience of the Land and Resources Bureau of Nanjing. First of all, this paper focuses on the defects of Java EE framework which is proposed based on the composite Spring-Struts-Hibernate (SSH) frame system and aims to optimize the performance of SSH and promote its efficiency. Secondly, the growing number of archives is reducing the retrieval efficiency of archives management website. In this paper, the ant colony optimization algorithm is employed to classify the data mining and applied to the quick retrieval of big data. At the same time, the complexity of the optimized algorithm and retrieval efficiency are analyzed. The results show that the retrieval time and efficiency are improved in the big data environment.