Abstract
Lucene full-text retrieval technology is widely used in the field of information retrieval, it is an excellent, open source full-text indexing engine tool kit written in Java. This paper first briefly describes the inverted index mechanism of Lucene, and then analyses Lucene architecture and its index file structure, as the basis for introduction the two modules of the Lucene in detail. Finally point out the shortcomings of the segmentation module and the place that can be improved. Through its API, we can embed it into a variety of applications to develop our own search engine, or ccustom a personalized information retrieval service.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Zhou, D., Xie, K.: Lucene search engine. Computer Engineering (2007) (in Chinese)
Guan, J., Gan, J.: Applied research based on the Lucene text search engine. Computer Engineering and Design (2007) (in Chinese)
Zhao, T., Meng, X.: Chinese full-text database design and implementation based on Lucene API. Computer Engineering and Applications (2003)
Li, Y., Ding, H.: The research and application of full-text retrieve of Lucene. Computer Technology and Development (2010)
Tang, H., He, Y., Xu, X.: Distributed parallel index based on Lucene. Computer Technology and Development (2011) (in Chinese)
Ding, Z., Kim, M.: Research and Implementation of personalized search engine based on Lucen. Computer Technology and Development (2011) (in Chinese)
Zheng, R., Lin, S.: Research on Chinese inverted index technology based on Lucene. Computer Technology and Development (2010)
Son, J., Zhu, Y., Liu, R.: Improved full-text search tool kit based on the Lucene. Computer Engineering and Applications (2008)
Li, S., Ling, F., Lv, X., Shi, S.: Study on Efficiency of Full-Text Retrieval Based on Lucene. In: International Conference on Information Engineering and Computer Science (2009)
Hatcher, E., Gospodnetic, O.: Lucene in Action. Manning Press, Greenwich (2004)
Qiu, Z., Fu, T.: Develop its own search engine Lucene 2.0 + Heritrix. People Post Press, Beijing (2010) (in Chinese)
Bruce Croft, W., Metaler, D., Strohman, T.: Search Engines Information Retrival in Practice. China Machine Press (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, H., Li, W., Wang, G., Peng, X. (2012). Information Retrieval Services Based on Lucene Architecture. In: Liu, C., Wang, L., Yang, A. (eds) Information Computing and Applications. ICICA 2012. Communications in Computer and Information Science, vol 307. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34038-3_88
Download citation
DOI: https://doi.org/10.1007/978-3-642-34038-3_88
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34037-6
Online ISBN: 978-3-642-34038-3
eBook Packages: Computer ScienceComputer Science (R0)