Scenario-Based Knowledge Graph and Construction Method
[Purpose/significance]Based on scenario theory and domain knowledge graph,the concept and connotation of scenario-based knowledge graph are proposed to describe the generation and application scenario information of knowledge,thereby improving the precision and applicability of knowledge graph application.[Method/process]Firstly,based on scenario theory,knowledge scener-ization,and knowledge graph construction techniques,the definition and structure of scenario-based knowledge graph are proposed;Secondly,taking the medical scenario-based knowledge graph as an example,a method for constructing the scenario-based knowl-edge graph is proposed.Specifically,a knowledge extraction and fusion method is constructed by combining the BiLSTM-CRF model,the UIE model,and the rule-based method.The storage and query of scenario-based knowledge graph is implemented using the Neo4j graph database and the Cypher query language.[Result/conclusion]Firstly,it is proposed that the scenario-based knowledge graph is a knowledge graph that describes the attributes of knowledge scenes,and summarizes the characteristics of scene fusion,inheritance,and reasonability;Secondly,taking mild cognitive impairment as an example to conduct empirical research,the results show that the current performance of different types of scene extraction is uneven;The overall distribution of various types of scene attributes and their distribution in different entities are different;In the constructed scenario-based knowledge graph,the fusibility,inheritability,and reasonability of scene attributes are obvious;Searching based on scene matching can reduce redundancy and error information,and improve the precision and applicability of results.[Innovation/limitation]This study further enriches the research on domain knowledge graph,improving the precision and applicability of knowledge graph applications by describing the generation and applica-tion scenarios of knowledge.
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