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Soil fertility knowledge question-answering method, system and equipment based on knowledge graph, and medium

A technology of soil fertility and knowledge map, applied in neural learning methods, based on specific mathematical models, instruments, etc., to achieve the effect of rapid response

Pending Publication Date: 2022-05-13
INST OF AGRI ECONOMY & INFORMATION AAAS
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Problems solved by technology

[0003] In the prior art, according to the results of literature research and Internet inquiries and searches, there has been no vertical field knowledge map directly related to the field of soil fertility.

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  • Soil fertility knowledge question-answering method, system and equipment based on knowledge graph, and medium
  • Soil fertility knowledge question-answering method, system and equipment based on knowledge graph, and medium
  • Soil fertility knowledge question-answering method, system and equipment based on knowledge graph, and medium

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Embodiment Construction

[0041] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, so as to define the protection scope of the present invention more clearly.

[0042] refer to figure 1 and figure 2 As shown, this embodiment discloses a soil fertility knowledge question answering method based on a knowledge map, including the following steps:

[0043] Step S1, triggering a question-and-answer task, the question-and-answer task includes inputting natural language questions in the field of soil fertility.

[0044] Specifically, in practical application, the form of inputting natural language questions in the dialog box can also be used to ask questions in the form of voice, and the input voice can be converted into natural language questions in the form of voice.

[0045] Step S2, identifying the natura...

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Abstract

The invention discloses a soil fertility knowledge question-answering method, system and device based on a knowledge graph and a medium. The method comprises the following steps: triggering a question-answering task, wherein the question-answering task comprises inputting a natural language question in a soil fertility field; identifying the natural language question to obtain an entity and an entity attribute relationship in the natural language question; linking the entity and the entity attribute relationship to a pre-constructed soil fertility knowledge graph to obtain an attribute value or a relationship object of the entity and the entity attribute relationship in the soil fertility knowledge graph; and outputting a question and answer result, and outputting the attribute value or the relation object as the question and answer result of the question and answer task. According to the method, rapid reply of soil fertility related problems can be realized, and innovation of soil fertility knowledge organization and knowledge utilization modes in an artificial intelligence environment can be promoted.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, and more specifically, to a method, system, equipment and medium for questioning and answering soil fertility knowledge based on knowledge graphs. Background technique [0002] The rapid development of artificial intelligence technology has led to the emergence of a series of new technologies, and the automatic question answering system is one of the representative results. Different from traditional search engines, the Q&A system can answer factual questions with accurate and concise answers, reducing user costs. The knowledge map is a new form of knowledge storage, and the data logically form a huge network. Compared with traditional relational databases, knowledge graphs can better describe the semantic relationship between entities, which is in line with human thinking about the objective world. [0003] In the prior art, according to the results of literature resear...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/332G06F16/33G06F16/36G06F40/295G06F40/30G06N3/04G06N3/08G06N7/00
CPCG06F16/3329G06F16/3344G06F16/3346G06F16/367G06F40/295G06F40/30G06N3/08G06N7/01G06N3/044
Inventor 张彩丽陈磊任竹刘楠楠周乐乐季丰江懿
Owner INST OF AGRI ECONOMY & INFORMATION AAAS
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