The Crawling And Retrieval Of Courseware Sourcesover The Campus Network

Along with the rapid growth of scientific technology, International has became one of the most important way of which people gain information and strength connections. In nowadays with the amazing speed of growth in information, how can we get information we need quickly and exactly? So international search engine was born to benefit people's need as the most efficiency IR (information retrieval) tool. And the technology of web search engine, has already became a focus of computer science and information industry.In the building of campus networks, with the need of teaching and the embodiment of campus networks' characteristic, we can provide better convenience with retrieve excellent courseware in the networks for teachers and students in teaching and studying. Coursewares are lecture software which are designed according to the need of teaching precis, confirmed by teaching aims, content, task analysis, interface design and so on. It has the direct relationships with the content of courses. Nowadays, the most widely used form of multimedia coursewares is PPT, besides this ,there are still coursewares which are saved in the form of DDC,PDF etc. in the network, the traditional searching of information has obvious objections in the veracity and content analysis. So how can we get coursewares in the network more comprehensively and more exactly has became a new direction and topic, full of challenges and opportunities.As a rising direction, we should face many realistic problems, for example, the forms of courseware saved in the network are not canonical and uniform, the sorts are not clear and so on. This article will carry out a search engine system of courses with a better retrieval veracity and a better topic oriented sort, in order to meet the campus network's need.This article elaborates on the development process and method of this courseware search engine. And analyze its inner software architecture and data structure etc. We also introduce the Plug-in system and distribute processing models. The web Crawler utilizes the relativity of URLs. About the index and the rank of URL searching result, we make use of a full-text search engine toolkit named Lucene and relativity arithmetic, and finish the system with eclipse.