Full-text search engine system for teaching resources

Abstract

The invention discloses a full-text search engine system for teaching resources. The system comprises: a user interaction unit, wherein the user interaction unit is an input and output apparatus and is used to receive a keyword or a sentence input by a user and display or output queried teaching resources; a teaching resource database used for storing uploaded teaching resources; a text processing unit used for processing a text and the keyword or the sentence of the teaching resources so as to generate a word segmentation result; an index establishing unit which uses a Lucene based index establishing engine, establishes an index file according to the word segmentation result of the teaching resources and stores the index file; and a query search unit used to generate a query object according to the word segmentation result of the keyword or the sentence, search the index file in the index establishing unit and return the searched teaching resources that is most relevant to the query object to the user interaction unit. The system has an excellent object-oriented system architecture, thereby lowering the difficulty of Lucene expansion and facilitating the expansion of novel functions.

Description

technical field [0001] The invention relates to the field of information retrieval, in particular to a method for constructing a vertical search engine for teaching resources. Background technique [0002] With the popularization of the Internet, webpage information, courseware resources and various electronic information carriers available in the education system are constantly being produced. Compared with the development of general webpage information retrieval, the development of educational informatization reform and teaching resource construction is relatively slow. Professional search for educational resources has not yet emerged. In the past, the full-text search function of educational resources can be realized by the following three methods: [0003] (1) Use the Like "keyword" query of the relational database to replace the full-text retrieval system. This method has a relatively fast retrieval speed when the amount of information is relatively small, but due to ...

AI Technical Summary

Problems solved by technology

For the campus network, this method is expensive, the index range is incomplete, and the update cycle is slow, etc.

[0006] The search technologies of these three methods have many deficiencies in the retrieval of teaching resource documents, which leads to the low efficiency of the index management of documents in the teaching resource library, and the inconvenience for users to find teaching resources.

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