Knowledge Reorganization System and Knowledge Reorganization Method

Abstract

The invention provides a system and a method for reorganizing knowledge. The system for reorganizing the knowledge comprises a selecting unit, a searching unit, an extracting unit and a file generating unit. The selecting unit selects target vocabulary from preset ontology vocabulary banks according to received selecting commands; the searching unit searches a plurality of pieces of vocabulary from the preset ontology vocabulary banks to form vocabulary sets, and the multiple pieces of vocabulary are in association relationships with the target vocabulary; the extracting unit searches target knowledge entries in preset knowledge entry banks and extracts entry contents corresponding to the target knowledge entries while the target knowledge entries are searched, and the corresponding target knowledge entries are associated with each piece of vocabulary in the vocabulary sets; the file generating unit summarizes all the extracted entry contents and determines sorting orders of all the entry contents according to the association relationships among each piece of vocabulary in the vocabulary sets and other vocabulary, so that all the entry contents can be combined with one another according to the sorting orders, and knowledge files can be generated. According to the technical scheme, the system and the method have the advantages that the association relationship building cost can be reduced, and the knowledge files which can meet different requirements of users can be generated.

Description

technical field [0001] The invention relates to the technical field of digital publishing, in particular to a knowledge reorganization system and a knowledge reorganization method. Background technique [0002] Digital publishing applications are mainly for professional publishing, educational publishing and mass publishing. In the professional publishing field, especially in the field of science and education, knowledge acquisition methods are changing from traditional standardized push methods to personalized acquisition methods. Based on individual needs The knowledge dynamic reorganization device has gradually become an important research topic. Through the dynamic reorganization device, publishing organizations can quickly meet the individual needs of readers. [0003] At present, knowledge reorganization is mainly realized based on the search engine, through which the contents of relevant subject terms are aggregated together, and then new publications are formed thro...

AI Technical Summary

Problems solved by technology

The current mainstream search engines are all based on word segmentation technology, and there will be the following problems: Chinese word segmentation is not accurate, resulting in inaccurate query knowledge, increasing the difficulty and workload of manual screening; The content of similar words, resulting in some seemingly irrelevant knowledge that is actually closely related to current knowledge cannot be retrieved

[0004] In addition to full-text search through the text content, you can also add keywords or classification attributes to knowledge items to make the search results more accurate. However, since the keywords are independent of each other, only the keywords marked with the keywords can be obtained. Knowledge content, resulting in insufficient comprehensive content of the obtained results

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