Distributed campus intranet search system

Abstract

The invention provides a distributed campus intranet search system, and belongs to the technical field of computers. Webpage information and text information acquired in a range are processed to forma pure text, and a search system is constructed according to the pure text and used for realizing a web crawler subsystem, an information preprocessing subsystem, an indexer subsystem and a querier subsystem, so that campus network users can retrieve information conveniently and quickly.

Description

technical field [0001] The invention belongs to the technical field of computers and relates to a distributed campus intranet search system. Background technique [0002] With the continuous development of the current college campus network, colleges and universities pay more and more attention to digital construction, and quickly entered the stage of rapid development of information technology. With the continuous improvement of the campus network, it is required to provide a good information-based teaching, scientific research and management platform for teachers and students. At present, all colleges and universities attach great importance to the construction of digital campuses. How to obtain the latest and most effective information more comprehensively and accurately has become an important condition for us to grasp opportunities, meet challenges and achieve success. It has become an inevitable trend to build an excellent and practical search engine platform that con...

AI Technical Summary

Problems solved by technology

[0003] At present, general search engines, such as the relatively well-known Baidu, Google, Sohu, etc., have done a good job in Web information retrieval, but they cannot really apply to all situations and specific needs in the campus.

The general search engine platform and the campus intranet search engine platform differ in the following aspects in the application of specific campus internal information retrieval: First, the general search engine retrieves information from the entire Internet, so there is no guarantee for campus intranet information retrieval. Collect and extract information comprehensively, and general search engines generally adopt "regular collection", which leads to a long update cycle, and combined with the school's own characteristics, there are frequent updates of information in various departments, so general search engines are aimed at the real-time nature of school information collection and accuracy is difficult to guarantee

In the second aspect, combined with the characteristics of the school, although some web information has links on the school homepage, it must be accessed by internal users of the campus network. Internal documents, internal websites, etc., due to various reasons such as confidentiality for external network users, are subject to the setting of the campus network, which makes the general search engine powerless when crawling

In the third aspect, most of the general search engines are mainly for commercial profit, and it is difficult to achieve absolute fairness in the returned results for user retrieval.

Fourth, most of the websites of various departments on the campus network are linked to the homepage of the school, but some internal information systems and websites are often not linked to the homepage of the school for some reason, which leads to general search engines not being able to collect original webpages and documents. The information on this part of the website has not been collected. If an internal search engine is implemented, this part of the information can be specially collected

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