基于Lucene的旅游信息搜索引擎的设计与实现

发布时间：2018-06-17 14:01

本文选题：旅游信息 + 搜索引擎　；参考：《电子科技大学》2013年硕士论文

【摘要】：随着计算机和信息技术的迅速发展，使得网络上的旅游信息数量越来越多，如何从中找到旅游信息己经成为人们获取信息资源日益严重的问题，也要求旅游部门检索能力不断提高。本文主要对旅游信息检索系统进行研究。论文首先简要介绍全文检索引擎技术，简述全文检索引擎技术产生和发展的历史，阐述了全文检索引擎系统结构，对其当前的发展状况以及未来发展趋势进行全面分析，并重对搜索引擎的系统结构以及各分模块系统进行了详细的分析。其次，对介绍旅游信息搜索引擎的检索系统的需求进行了分析，从背景、功能、用户需求以及系统需求等方面对系统进行了界定。通过对旅游信息搜索引擎相关技术的深入研究，根据旅游部门对网络旅游信息的检索要求，设计并实现了一个网络旅游信息搜索引擎系统。从系统的逻辑架构与技术架构对系统进行了设计，重点对系统的爬虫系统进行了改进，采用了比较先进的算法进行旅游信息的检索，最后对系统的策略进行了分析。本文提出的旅游信息检索系统因其具有良好的通用性以及可扩展性等特点，，使其不仅能够在通用的搜索引擎系统中适用，而且对各种专业文献检索系统也具有良好的适用性。
[Abstract]:With the rapid development of computer and information technology, there are more and more tourism information on the network. How to find tourism information has become an increasingly serious problem for people to obtain information resources. It also requires that the search ability of the tourism sector be continuously improved. This paper mainly studies the tourism information retrieval system. Firstly, this paper briefly introduces the technology of full-text search engine, briefly describes the history of the emergence and development of full-text search engine technology, expounds the structure of full-text retrieval engine system, and makes a comprehensive analysis of its current development situation and future development trend. At the same time, the system structure of search engine and each sub-module system are analyzed in detail. Secondly, it analyzes the requirements of the search system of tourism information search engine, and defines the system from the aspects of background, function, user requirements and system requirements. Through the deep research on the related technology of the tourism information search engine and according to the request of the tourism department to search the network tourism information, a network tourism information search engine system is designed and implemented. This paper designs the system from the logic structure and the technical structure of the system, focuses on the improvement of the crawler system, adopts more advanced algorithms to retrieve the tourism information, and finally analyzes the strategy of the system. The tourism information retrieval system proposed in this paper is suitable not only for the general search engine system, but also for all kinds of professional literature retrieval systems because of its good generality and expansibility.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP391.3

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