Intelligent question-answering method and system based on power grid field scheduling scene knowledge graph
A technology of knowledge graph and intelligent question answering, which is applied in the fields of electrical digital data processing, computing models, semantic analysis, etc., and can solve problems such as weak ability to answer questions, lack of power field, and insufficient intelligence
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Embodiment 1
[0048] An intelligent question-and-answer method based on the knowledge map of dispatching scenarios in the power grid field according to the present invention combines the characteristics of data in the electric power field and the business requirements of dispatching scenarios. The question-and-answer system also includes four pre-preparation processes, which are:
[0049] (1) Construct a knowledge map of power dispatching scenarios
[0050] The process includes data collection and sorting, and then completes the construction of the knowledge graph through steps such as knowledge modeling, knowledge extraction, and knowledge fusion. The knowledge base is stored in Neo4j.
[0051] (2) Basic information maintenance
[0052] After the knowledge graph is built, a lot of data maintenance work needs to be done according to the characteristics of the business data in the power dispatching scenario and its accuracy requirements.
[0053] ◆Dictionary maintenance
[0054] a. Special...
Embodiment 2
[0164] Correspondingly, an intelligent question answering system based on the knowledge map of dispatching scenarios in the power grid field of the present invention includes:
[0165] The question acquisition module is used to acquire the question corpus in the power grid field dispatching scenario;
[0166] The entity recognition module is used to perform named entity recognition on the problem corpus to obtain the named entity recognition result;
[0167] The feature conversion module is used to convert the named entity recognition results into entities and attributes in the knowledge graph;
[0168] The sentence pattern classification module is used to carry out the sentence pattern classification to the converted result to obtain the sentence pattern classification result;
[0169] The knowledge extraction module is used to perform semantic analysis on the sentence pattern classification result, and if the sentence pattern analysis result is an understandable sentence pa...
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