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Knowledge graph-based exploration specification intelligent question-answering system establishment method

An establishment method and intelligent question answering technology, applied in the field of industry knowledge map question answering system, can solve the problem of low efficiency of manual search and specification in question answering system, achieve the effect of improving accuracy and acquisition efficiency, and increasing redundant cost

Active Publication Date: 2021-09-17
XIAN UNIV OF TECH
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method for establishing an intelligent question-and-answer system for survey norms based on knowledge graphs, which solves the problem of low efficiency in artificially searching for norms in the question-and-answer system existing in the prior art

Method used

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  • Knowledge graph-based exploration specification intelligent question-answering system establishment method
  • Knowledge graph-based exploration specification intelligent question-answering system establishment method

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Embodiment

[0081] The specific steps for implementing this example are described in detail below in conjunction with the above-mentioned technical route:

[0082] 1. The ER diagram designed according to the survey field specifications includes specification types, specifications, and detailed rules; the specification type table includes id and name; the specification table includes id, name, and specific requirements; the detailed rules table includes id, name, and content.

[0083]2. Combined with the designed ER diagram, Protégé was used to carry out ontology modeling, and three classes of specification category, specification and detailed rules were constructed; five data attributes including two relationships and detailed rule names were designed, and the ontology file in Turtle Syntam format was exported.

[0084] 3. Create a database named "kancha" in the MySQL database; import the 3 data tables created in Excel into MySQL; design the table to set the field type, length and data tab...

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Abstract

The invention discloses a knowledge graph-based exploration specification intelligent question-answering system establishment method, which comprises the following steps of: firstly, designing exploration specification data including a relational database ER graph of entity sets, attributes among entities and relationships among the entities, and collecting and storing the exploration specification data into an Excel table; constructing a reconnaissance specification relational database by combining the reconnaissance specification data with the relational database ER graph; constructing an investigation specification domain ontology by adopting a top-down method; creating mapping to generate a mapping file; using a conversion tool dump-rdf provided by a D2RQ tool to converting the mapping file into RDF format data, and carrying out storage and management and knowledge reasoning on a relational database; performing segmentation, combination and matching on a character string level on a preset question by using a regular expression so as to realize combination query of character strings, namely input of the question; and finally, achieving visual display. The problem that in the prior art, the efficiency of manually searching specifications in a question-answering system is low is solved.

Description

technical field [0001] The invention belongs to the technical field of industry knowledge graph question answering systems, and in particular relates to a method for establishing an intelligent question answering system for survey norms based on knowledge graphs. Background technique [0002] Question Answering System (QA System) is an advanced form of information retrieval system, which can answer questions raised by users in natural language with accurate and concise natural language. Different applications require different forms of question answering systems, and the corpus and techniques used are also different. According to the domain of knowledge, question answering systems can be classified into "specific domain" and "open domain". Domain-specific systems focus on answering questions in specific domains, such as medicine, sports, government affairs, etc. Open domain systems hope that there is no limit to the scope of the content of the question, and all astronomy a...

Claims

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Application Information

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IPC IPC(8): G06F16/332G06F16/33G06F16/36G06F16/28G06F16/2455G06F16/21G06F16/16G06F40/279G06F40/242
CPCG06F16/3329G06F16/367G06F16/3344G06F16/284G06F16/212G06F16/2456G06F16/16G06F40/279G06F40/242
Inventor 何敏赵立洁姚旭豪赵钦
Owner XIAN UNIV OF TECH
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