Knowledge graph-based search input system
A knowledge map and search request technology, applied in the field of online search, can solve problems such as difficulties, slow research progress, and inability to guarantee search accuracy, and achieve the effect of strong ability and good compatibility
Patent Information
- Authority / Receiving Office
- CN · China
- Current Assignee / Owner
- Publication Date
- 2022-04-22
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Abstract
Description
technical field
[0001] The invention relates to the technical field of online search, in particular to a search input system based on a knowledge graph. Background technique
[0002] Online search is an important bridge connecting users and the Internet. Users frequently obtain massive information resources through online searches every day. However, in the online search process, a large number of users often encounter the problem of inaccurate searches. The reason is that on the one hand, the search needs are complex and changeable, and it is difficult for users to accurately express and describe the search needs; on the other hand, it is difficult to accurately match the search results with the search requests. In terms of expression and input of search needs, users currently use keywords, natural language sentences, voice, pictures, etc. to express and input search requests; in some specific fields, users use gestures and brain waves to input search needs. Looking at th...
Examples
Embodiment Construction
[0048]The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.
[0049] A search input system based on knowledge graph, its structure is as follows figure 1 shown, including:
[0050] keyword query entry module 1, used to obtain keywords input by the user;
[0051] The knowledge map generation module 2 includes an automatic generation unit 201, which is used to automatically generate a knowledge map according to keywords input by the user;
[0052] The interaction module 3 includes a knowledge graph search request inte...