Sub-graph matching natural question-answering method based on knowledge graph

A knowledge graph and subgraph technology, which is applied in the field of natural question answering based on knowledge graph subgraph matching, can solve problems such as incomplete comprehension of the problem and understand a small part of it, and achieve the effect of analyzing complex questions effectively.

Inactive Publication Date: 2021-01-12
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

Disadvantages of existing technologies: 1. Rule-based implementation can only understand a small par

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  • Sub-graph matching natural question-answering method based on knowledge graph
  • Sub-graph matching natural question-answering method based on knowledge graph
  • Sub-graph matching natural question-answering method based on knowledge graph

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Embodiment Construction

[0026] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic concept of the present invention, and the following embodiments and the features in the embodiments can be combined with each other in the case of no conflict.

[0027] Wherein, the accompanying drawings are for illustrative purposes only, and represent only schematic diagrams, rather than physical drawings, and should...

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Abstract

The invention relates to a sub-graph matching natural question-answering method based on a knowledge graph, and belongs to the technical field of computers. When a correctly matched query sub-graph ofthe natural language problem is obtained, the ambiguity problem is also solved at the same time. According to the method, a template does not need to be manually set in advance, and complex questionanalysis is very effective. The method roughly comprises two stages where one stage is problem understanding, i.e., converting a problem into a logic form; and the other one is query scoring, namely,confidence scoring is carried out on the generated structured query. In order to convert a natural language into a query graph, the invention provides a node-first method, which comprises firstly extracting entities from a question sentence and then filling edges among the entities to form a hyper-semantic query graph. The method does not need to manually set a template in advance, and is very effective for analyzing complex questions. Finally, the sub-graph matching question-answering method can be completed.

Description

technical field [0001] The invention belongs to the technical field of computers, and relates to a subgraph matching natural question answering method based on a knowledge graph. Background technique [0002] The construction and application of large-scale knowledge graphs require the support of various technologies. Through knowledge extraction technology, knowledge elements such as entities, relationships, and attributes can be extracted from the data of some public semi-structured, unstructured, and third-party structured databases. Knowledge representation expresses the knowledge elements through certain effective means, which is convenient for further processing and use. Then through knowledge fusion, the ambiguity between referents such as entities, relationships, attributes and factual objects can be eliminated to form a high-quality knowledge base. Knowledge reasoning is to further mine the implicit knowledge on the basis of the existing knowledge base, so as to en...

Claims

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Application Information

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IPC IPC(8): G06F16/332G06F16/36G06F40/295G06F40/30
CPCG06F16/3329G06F16/367G06F40/30G06F40/295
Inventor 蒋畅江李鹏华王琴张宇航
Owner CHONGQING UNIV OF POSTS & TELECOMM
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