Semantic-based information acquisition method and semantic-based information acquisition system

Abstract

The invention relates to the technical field of data mining, in particular to a semantic-based information acquisition method and a semantic-based information acquisition system. The semantic-based information acquisition method comprises the following steps: S1, establishing a network resource abstract data model according to typical characteristics of network resources; S2, acquiring network information from the internet by means of a search engine, and performing formatted processing on the acquired network information by using the network resource abstract data model; S3, performing clustering analysis on the network information after the formatted processing, dividing the network information into a corresponding topic according to a clustering analysis result, and extracting a label of each topic; S4, performing visual display on a processed result in the step S3. According to the semantic-based information acquisition method and the semantic-based information acquisition system provided by the invention, network resource organization, the visual display and downloading and online viewing of the network resources are performed by topic drive, and therefore, the display of the network information can be performed in a multi-dimensional manner, the network information is visually and displayed to a user, and an effect that the browsing efficiency of the user is improved is achieved.

Description

technical field [0001] The invention relates to the technical field of data mining, in particular to a semantic-based information collection method and system. Background technique [0002] Network data (resources) refers to the sum of various information resources on the Internet, including electronic documents, databases, digital documents, digital bibliographies, electronic newspapers, network news, etc. [0003] The data and information on the Internet have the characteristics of large data volume, fast update speed, and strong timeliness. A large amount of network information is generated every day. In order to help users get rid of the "information explosion" Search engine companies will provide a large number of network resources, that is, display Internet information in an all-round and multi-angle manner in one page, introduce the relevant situation of network resources, and analyze their characteristics. Typically, these online materials are organized manually by ...

AI Technical Summary

Problems solved by technology

[0006] In the related technologies of network resource organization, topic detection can effectively gather and organize scattered network resources. However, due to the high similarity of information in network resources, the effect of topic detection based on traditional vector space models is not good; reasonable network resources The organizational model can better help users understand and analyze the information of network resources. However, the existing organizational model is single, and it is difficult to present its multi-dimensional characteristics.

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