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Question and answer method based on knowledge graph, and agricultural encyclopedia question and answer system

A knowledge graph, agricultural technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of providing services, unable to automatically use users, and labor-intensive, and achieve the effect of improving satisfaction

Active Publication Date: 2018-11-13
南京柯基数据科技有限公司
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Problems solved by technology

Such a system requires experts to provide consulting services on the software server at all times, which will consume a lot of manpower and cannot automatically provide services for users

Method used

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  • Question and answer method based on knowledge graph, and agricultural encyclopedia question and answer system
  • Question and answer method based on knowledge graph, and agricultural encyclopedia question and answer system
  • Question and answer method based on knowledge graph, and agricultural encyclopedia question and answer system

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Embodiment Construction

[0045] The present invention will be further elaborated below in conjunction with the embodiments of the accompanying drawings, and the purpose and effect of the present invention will become more obvious.

[0046] A question answering method based on knowledge graph, such as figure 1 shown, including:

[0047] Build the database, parse the questions and retrieve the answers, the specific steps are:

[0048] 1) Construct a database for storing knowledge in the agricultural field, a grammar library for storing synonyms sets and question templates, and a FAQ question library for storing frequently asked questions (FAQ), specifically:

[0049] 1.1 Build a knowledge map in the agricultural field, store the knowledge map data in a structured RDF (Resource Description Framework) database TDB (Triple Database), and use the TDB service to retrieve knowledge map triples;

[0050] 1.2 Construct a grammatical library for storing synonyms sets and question templates, store the synonym s...

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Abstract

The invention provides a question and answer method based on a knowledge graph, and an agricultural encyclopedia question and answer system. A natural language question raised by a user can be automatically analyzed; a topological structure based on a syntax tree is formed; retrieval and comparison are carried out through the topological structure and a question template in a grammar library; according to a mapping relation between the topological structure and a predicate nominatum, and a mapping relation between a synonym set and a relation or an attribute in the knowledge graph, a question-mapped predicate is obtained; in combination with an entity identified in the question, a final structured knowledge graph query statement is generated; retrieval is carried out in the knowledge graphaccording to the query statement; and a final result is returned. When the relevant topological structure cannot be retrieved in a question template library, the question answering is carried out bycalling common question-answer pairs of an FAQ question library. The question and answer system can give accurate answer retrieval for the question posed by the user, so that the satisfaction degree of the user to the agricultural encyclopedia question retrieval is improved.

Description

technical field [0001] The present invention relates to a question answering method based on artificial intelligence, more specifically to a question answering method based on knowledge graphs and an agricultural question answering system based on the method. Background technique [0002] In the current Internet, massive information is distributed in different information sources, and the correlation is relatively sparse. Using traditional search engines, it becomes increasingly difficult to obtain valuable information accurately and quickly. The traditional manual-based knowledge management method cannot meet the user's demand for knowledge acquisition in the agricultural field in a real-time and efficient manner. In addition, the accuracy of the answers to questions encountered in many community Q&As cannot be guaranteed, and some answers are no longer time-sensitive. In contrast, the emergence of question answering systems aims to quickly obtain high-quality information ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06F17/27G06Q50/02
CPCG06Q50/02G06F40/284G06F40/295
Inventor 花云程吴刚杨成彪
Owner 南京柯基数据科技有限公司
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