Visual atlas fusion method and system based on entity alignment

A fusion method and entity pair technology, applied in the field of knowledge graphs, can solve problems such as merging of natural persons with the same name, and achieve the effects of clear logic, wide application, data source comparison and joint analysis process
CN111428093APending Publication Date: 2020-07-17成都数联铭品科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
成都数联铭品科技有限公司
Publication Date
2020-07-17

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Abstract

The invention relates to a visual atlas fusion method and system based on entity alignment. According to the method and the system, data corresponding to a first atlas is acquired, and data corresponding to a second atlas is acquired; respectively displaying the first atlas and the second atlas in a visual interface; acquiring same-name entity nodes in the first graph and the second graph; judgingwhether the homonymous nodes in the first graph and the second graph are the same entity or not; and if the first atlas and the second atlas are the same entity, merging the homonymous nodes in a visual interface, thereby realizing visual fusion of the first atlas and the second atlas. The fusion process of the atlas is visually displayed in a visual interface, the logic is very clear, and the data source comparison and joint analysis process is clearer; and the interface affinity is excellent. And the method has an excellent application effect in a multi-party data joint investigation process. And multi-feature comprehensive judgment is adopted in the same-name natural person entity recognition process, so that the judgment and recognition accuracy is high.
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Description

technical field

[0001] The invention relates to the field of knowledge graphs, in particular to a method and system for visual graph fusion based on entity alignment. Background technique

[0002] The current data fusion and map fusion are the pain points and difficulties of the big data industry. In some scenarios, it is necessary to conduct joint analysis of maps from different data sources, and fusion of maps and data is required. At this stage, the main way to achieve map fusion is to Data fusion is achieved, that is, after obtaining the data of the two data sources, for the two maps that need to be jointly analyzed or compared, data processing is performed at the background data level first, and the node data belonging to the same entity is merged later. The processed data is then displayed as a map, which is already a fused map when it is displayed on the visual interface. It is impossible to show the dynamic logical process from independence to fusion of the two grap...

Claims

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