2021
DOI: 10.1088/1742-6596/1982/1/012040
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Research on the Practical Application of Visual Knowledge Graph in Technology Service Model and Intelligent Supervision

Abstract: The paper analyses the relevant elements of enterprise technical services in combination with the relevant knowledge service requirements of enterprise technology management. On this basis, based on enterprise information extraction technology, enterprise knowledge reasoning technology, machine learning technology, etc., it constructs an enterprise technology service model of knowledge graph. The model is divided into five levels: data acquisition layer, data processing layer, technology fusion layer, technolo… Show more

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Cited by 4 publications
(2 citation statements)
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“…Then, using the technologies of entity extraction, entity disambiguation and linking, entity relationship extraction, knowledge reasoning, etc., the information fields related to entities and relationships are extracted from the actual business data, disambiguated and fused, and then "filled" according to the ontology of knowledge map, so as to obtain knowledge map data examples and store the knowledge map. The main challenges of the application of knowledge map technology include the low level of automation in the process of knowledge map construction and the data noise caused by errors and redundancies in the data itself [4].…”
Section: Knowledge Map Technologymentioning
confidence: 99%
“…Then, using the technologies of entity extraction, entity disambiguation and linking, entity relationship extraction, knowledge reasoning, etc., the information fields related to entities and relationships are extracted from the actual business data, disambiguated and fused, and then "filled" according to the ontology of knowledge map, so as to obtain knowledge map data examples and store the knowledge map. The main challenges of the application of knowledge map technology include the low level of automation in the process of knowledge map construction and the data noise caused by errors and redundancies in the data itself [4].…”
Section: Knowledge Map Technologymentioning
confidence: 99%
“…Nodes can be either entities or abstract concepts. Entities are the most basic elements in a KG, and there are different relationships between different entities [23,24]. A KG construction method is proposed.…”
Section: Introductionmentioning
confidence: 99%