2012Advances in Internet of ThingsOpen access

Application of Full Text Search Engine Based on Lucene

Rujia Gao, Danying Li, Wanlong Li, Yaze Dong

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Abstract

This paper introduces us the full-text search engine based on Lucene and full-text retrieval technology, including indexing and system architecture, compares the full-text search of Lucene with the String search retrieval’s response time, the experimental results show that the full text search of Lucene has faster retrieval speed.

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What this paper is about

This paper introduces us the full-text search engine based on Lucene and full-text retrieval technology, including indexing and system architecture, compares the full-text search of Lucene with the String search retrieval’s response time, the experimental results show that the full text search of Lucene has faster retrieval speed.

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OpenAlex reports 17 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper introduces us the full-text search engine based on Lucene and full-text retrieval technology, including indexing and system architecture, compares the full-text search of Lucene with the String search retrieval’s response time, the experimental results show that the full text search of Lucene has faster retrieval speed.

Key concepts: Search engine indexing, Full text search, Computer science, Information retrieval, Search engine, Text retrieval, String (physics), Physics

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