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System Design of Cloud Search Engine Based on Rich Text Content

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Abstract

In order to improve the search performance of rich text content, a cloud search engine system based on rich text content is designed. On the basis of traditional search engine hardware system, several hardware devices such as Solr index server, collector, Chinese word segmentation device and searcher are installed, and the data interface is adjusted. On the basis of hardware equipment and database support, this paper uses the open source Apache Tika framework to obtain the metadata of rich text documents, implements word segmentation according to the rich text content and semantics, and calculates the weight of each keyword. Input search keywords, establish a text index, use BM25 algorithm to calculate the similarity between keywords and text, and output the search results of rich text according to the similarity calculation results. The experimental results show that the design system has high recall rate, high throughput, and the construction time of each data item index in different files is short, which improves the search efficiency and search accuracy.

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Acknowledgements

This paper is supported by the Major projects of science and technology in Inner Mongolia with No. 2019ZD016.

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Authors and Affiliations

  1. School of Software Engineering, Jinling University of Science and Technology, Nanjing, 211169, China

    Hao-peng Chan, Liang Xu, Hui-hui Liu & Run-tian Zhang

  2. School of Computing Science and Engineering, Vellore Institute of Technology (VIT), Vellore, 632014, India

    Arun Kumar Sangaiah

  3. Department of Industrial Engineering and Management, National Yunlin University of Science and Technology, Douliu, Taiwan

    Arun Kumar Sangaiah

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  1. Hao-peng Chan
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  2. Liang Xu
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  3. Hui-hui Liu
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  4. Run-tian Zhang
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  5. Arun Kumar Sangaiah
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Correspondence to Arun Kumar Sangaiah.

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Chan, Hp., Xu, L., Liu, Hh. et al. System Design of Cloud Search Engine Based on Rich Text Content. Mobile Netw Appl 26, 459–472 (2021). https://doi.org/10.1007/s11036-020-01676-3

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