Design and Implementation of Analyzer Management System Based on Elasticsearch

EasyChair Preprint 6859

Abstract

Elasticsearch is a distributed search and analytics engine for all types of data, and its analyzer plays a crucial role in the construction of data index. An appropriate analyzer can significantly improve the accuracy of the index. However, for some languages, especially Asian languages, the default analyzer of Elasticsearch is not enough to fulfill the retrieval requirements, so it is necessary to configure the analyzer and thesaurus manually. Therefore, it is inefficient and means the waste of human resources. In this paper, we design and implement an automatic configuration management system for the analyzer in Elasticsearch, which provides a visual interface, enables users to select analyzer individually, install and configure them automatically. In addition, we integrate Elasticsearch's Restful API into the system to better manage the cluster. The experiments show that The system can simplify the configuration process of the analyzer to a great extent and significantly improve the development efficiency.

Keyphrases: Analyzer configuration, Elasticsearch management, information management system

@booklet{EasyChair:6859,
  author    = {Jingqi Sun and Peng Nie and Licheng Xu and Haiwei Zhang},
  title     = {Design and Implementation of Analyzer Management System Based on Elasticsearch},
  howpublished = {EasyChair Preprint 6859},
  year      = {EasyChair, 2021}}