Data retrieval method and system

Abstract

The invention provides a data retrieval method and system. The data retrieval method comprises the steps of receiving a first retrieval condition input by a user; performing word segmentation processing and semantic analysis on the first retrieval condition to obtain a plurality of retrieval keywords; converting the retrieval keywords into tags and tag constraint conditions, and generating a plurality of tag pairs, wherein the tag pairs are sets of the tags and the tag constraint conditions, the tags are used for describing attributes of query object information, and the tag constraint conditions are limiting factors of tag values; and executing data query operation according to the tag pairs, thereby obtaining a query result. By adopting the scheme, a search intention of the user can be accurately seized; and the user is guided to converge search conditions in a targeted manner, so that an excepted result can be quickly obtained.

Description

technical field [0001] The invention relates to the technical field of data retrieval, in particular to a data retrieval method and system. Background technique [0002] With the rapid development of the Internet, enterprises have accumulated massive amounts of data from multiple channels, and established a special management system for maintenance and management. These data information are neatly stored in the background database and become valuable intangible assets of enterprises. How to enable the domain experts of the enterprise to quickly and accurately grasp the situation of the enterprise, carry out reasonable planning, and transform the information contained in the data into the core competitiveness of the enterprise, so that the value of the data can be fully utilized has become a hot topic for enterprises. [0003] The existing method is to provide a unified search entry in the management system, and the user can query and obtain the preliminary scope after inputt...

AI Technical Summary

Problems solved by technology

[0004] 1) The accuracy of the search engine is limited, and the potential needs of users cannot be well understood, especially the keywords entered by the user cannot accurately express their search intentions, resulting in a range of search results that does not match expectations;

[0005] 2) The intelligence of the search service provided is limited, and it fails to guide users to narrow the search scope and obtain the expected results faster

Users need to modify the search conditions over and over again to converge the search results, and the search efficiency is low

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