Author(s)

Rujia Gao, Danying Li, Wanlong Li, Yaze Dong

Changchun Rural Commercial Bank, Changchun, China.
Computer Science and Technology, Changchun University of Technology.
Computer Science and Technology, Changchun University of Technology, Changchun, China.
Software Vocational and Technical College, Changchun University of Technology, Changchun, China.

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.

Full Text Search Engine; System Architecture; Lucene

R. Gao, D. Li, W. Li and Y. Dong, "Application of Full Text Search Engine Based on Lucene," Advances in Internet of Things, Vol. 2 No. 4, 2012, pp. 106-109. doi: 10.4236/ait.2012.24013.