Open AccessDesigning a Document Retrieval Method for University Digital Libraries Based on Hadoop Technology
Author(s) -
HE Hai-xia
Publication year - 2021
Publication title -
journal of contemporary educational research
Language(s) - English
Resource type - Journals
eISSN - 2208-8474
pISSN - 2208-8466
DOI - 10.26689/jcer.v5i12.2821
Subject(s) - computer science , information retrieval , big data , process (computing) , document retrieval , digital library , matching (statistics) , similarity (geometry) , data retrieval , world wide web , data mining , artificial intelligence , art , statistics , literature , poetry , mathematics , image (mathematics) , operating system
With the development of big data, all walks of life in society have begun to venture into big data to serve their own enterprises and departments. Big data has been embraced by university digital libraries. The most cumbersome work for the management of university libraries is document retrieval. This article uses Hadoop algorithm to extract semantic keywords and then calculates semantic similarity based on the literature retrieval keyword calculation process. The fast-matching method is used to determine the weight of each keyword, so as to ensure an efficient and accurate document retrieval in digital libraries, thus completing the design of the document retrieval method for university digital libraries based on Hadoop technology.