The implement of searching engine for educational resources using text clustering

The rich educational resources form network is a great role of promoting for the development of education, but educational retrieval is ineffective at present. Search engine is an available tool but the precision of retrieval is still the crucial problem. Text clustering is an automatic technology to summarize and classified text information. Using the text clustering technology in the field of educational search engine will improve the accuracy of retrieval. Presently clustering in search engine has some preliminary study at home and abroad. There are some clustering engine trial systems can be used on line, but those systems are usually only support for English and not special for professional fields. This paper discusses the concept as well as the lifecycle of the text clustering, then use the search engine tool--Lucene index the Chinese educational resources, supplied to the Carrot2 tools to build a text-based search results clustering engine, compares the clustering engine with the search engine and analysis the experiments data. As the result achieve cluster retrieval of educational resources.