Enterprise information data retrieval system

Abstract

The invention discloses an enterprise information data retrieval system, comprising a foreground control module and a background data processing module, wherein the foreground control module comprises a retrieval condition input module and a retrieval result generating module; the background data processing module comprises a parameter analyzing module, a data extracting module, a data judging module and a parameter identification module; the retrieval condition input module is connected with the parameter analyzing module; the parameter analyzing module is further connected with the data extracting module; the data extracting module is further connected with the data judging module; the data judging module is further connected with the parameter identification module; and the parameter identification module is further connected with the retrieval result generating module. According to the enterprise information data retrieval system disclosed by the invention, the efficiency of internal information retrieval of an enterprise can be improved, and the accuracy of a retrieval result can be improved while the system does not suffer from performance pressure.

Description

technical field [0001] The invention relates to the technical field of enterprise information software, in particular to an enterprise information data retrieval system. Background technique [0002] With the increasing development of information technology, the amount of enterprise information data is increasing day by day, and knowledge is growing explosively. How to quickly and effectively retrieve information data within the enterprise and improve the application and effect of knowledge management is a problem that every enterprise has to face. Reality. [0003] The traditional retrieval technology is based on keyword matching, which often has the phenomenon of incomplete search, inaccurate search, and low retrieval quality. Especially in the network information age, it is difficult to use keyword matching to meet people's retrieval requirements. At present, the commonly used information retrieval technology is network information retrieval, which can use word segmentat...

AI Technical Summary

Problems solved by technology

[0003] The traditional retrieval technology is based on keyword matching, which often has the phenomenon of incomplete search, inaccurate search, and low retrieval quality. Especially in the network information age, it is difficult to use keyword matching to meet people's retrieval requirements.

At present, the commonly used information retrieval technology is network information retrieval, which can use word segmentation dictionary, thesaurus, and homonym dictionary to improve the retrieval effect. For example, when a user queries "computer", information related to "computer" can also be retrieved; Retrieval includes ambiguous information, such as whether "apple" refers to fruit or computer brand. For such ambiguous information, the retrieval results are often not satisfactory, and when the amount of data is large, the retrieval performance is poor. When there are many users, retrieval will also bring greater performance pressure to the entire system

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