System and method for heterogeneous information mining and visual analysis

Abstract

The invention relates to the field of heterogeneous information retrieval, in particular to an intelligent retrieval and analyzing method based on domain ontology and information mining and a visual analyzing system comprising the method. The system mainly comprises a field data acquisition subsystem, a corpus resource processing subsystem, an information mining subsystem and a visual analyzing subsystem, wherein the field data acquisition subsystem is used for acquiring data by network capturing and local uploading, the field data acquisition subsystem is used for pre-processing field related data, the field data acquisition subsystem is used for analyzing and mining related information in corpus, and the visual analyzing subsystem is used for dynamically displaying and counting and analyzing retrieval results. Concepts in a domain ontology base and mutual relations of the concepts are fully used by the system for heterogeneous information mining and visual analysis, requirements of users can be correctly understood to automatically cluster hierarchical structural information of a certain field so as to support the users to inquire key words, phrases and simple sentences and optimize retrieval results, relevant concepts and extension concepts can be found by ontological reasoning to support graphic display preview of each information meaning in the inquiry results, and the professional-field information retrieval performance can be remarkably improved to realize dynamic information display.

Description

technical field [0001] The invention relates to the field of heterogeneous information retrieval, in particular to an intelligent retrieval and analysis method based on domain ontology (Domain ontology) and knowledge mining, and a visual analysis system including the method. Background technique [0002] As a method and means of obtaining information, the emergence of information retrieval technology is a milestone in the history of network development. It brings great convenience to network users and improves the utilization rate of various types of information. Google and Baidu are typical representatives in this field. As long as the user enters a search term or a search sentence, the information retrieval system will quickly return all web pages containing the search term or search sentence for the user according to a certain sorting rule. [0003] However, the existing general search engines cannot accurately understand and process all kinds of professional knowledge, ...

AI Technical Summary

Problems solved by technology

[0015] At present, there are no related intelligent retrieval technologies that use domain ontology and knowledge mining technology to realize user-input sentence pattern matching, semantic distance measurement results optimization ranking, and domain concept recognition based on intelligent word segmentation. The heterogeneous information intelligent retrieval system of this method cannot realize the visual analysis and dynamic display of the retrieval results

As a result, the intelligent retrieval system faced a series of technical problems, and did not significantly improve and improve the retrieval performance compared with the traditional retrieval system as expected

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