Research And Implementation Of A Vertical Search Engine For Educational Resources

With computer and network technology developing, the educational resources on the Internet are also growing exponentially. To locate useful resources from the mass and diverse information is crucial. When using general search engine to search information in a specific field, the results usually cover all fields which can’t provide accurate retrieval service for users. However, powerful vertical search engine can meet users’ information needs more precisely.This paper describes a vertical search engine on the resources in educational field based on Lucene. Six parts of the system are detailed in this paper.1) Identification of search results metadata according to LOM; 2) Analyzer and index all formats of resources; 3) Analyzer Chinese segment algorithms used in search engine and chose an appropriate one for our systems; 4) Improve Lucene ranking algorithm by adding three new parameters; 5) Filter the search results by author or publish date; 6)Design an interface. This vertical search engine for educational resources can meet the needs of users on the E-learning platform. It has the following characteristics:The pattern of resources forms is various, ranking algorithm is more reasonable, Chinese segmentation is superior.