The Analysis of Open Source Search Engines

  • Chang X
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Abstract

In this information era of high-speed Internet development, the volume of information has grown exponentially along with the expansion in Internet usage by the general people and the steady strengthening of business and institutional information technology. How to find the needed information quickly and accurately from the vast amount of digital information has become an urgent demand of the people of the whole country. The term "open source search engine" simply denotes that anyone may use and alter the source code as they see fit. Open source search engines provide an excellent way and material for people to learn, study and master search technology. This study aims to compare different open source search engines. In this paper compares MeiliSearch and Apache Solr; ElasticSearch and Typesense. Introduce how these engines work and the advantage and disadvantage of theses open source search engines. The section four gives a case study of Apache Lucene.

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APA

Chang, X. (2023). The Analysis of Open Source Search Engines. Highlights in Science, Engineering and Technology, 32, 32–42. https://doi.org/10.54097/hset.v32i.4933

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