A tag-based relationship construction method, device, electronic equipment and storage medium
A label and relationship technology, applied to electronic equipment and storage media, a label-based relationship construction method, in the field of devices, can solve the problems of poor relationship extraction between entities and low recognition accuracy
Active Publication Date: 2022-04-15
北京市大数据中心 +1
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Problems solved by technology
At the same time, the value of data also faces many problems. The complexity, relevance, and time-varying nature of data bring challenges to information fusion and knowledge learning.
[0003] In the related technology, the recognition accuracy rate of entity-entity relationship with more ambiguity is not high, and the extraction effect of the relationship between entities is poor
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[0024] Embodiments of the present disclosure are described in detail below, examples of which are illustrated in the drawings, in which the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present disclosure and should not be construed as limiting the present disclosure.
[0025] figure 1 is a schematic flowchart of a label-based relationship construction method proposed by an embodiment of the present disclosure.
[0026] In this embodiment, the label-based relationship building method is configured as a label-based relationship building device for illustration. In this embodiment, the label-based relationship building method can be configured in the label-based relationship building device. The label-based relationship The construction device may be set in a server, or may also be set in an elect...
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The present disclosure proposes a label-based relationship construction method, device, electronic equipment, and storage medium, the method including determining an entity identifier; parsing from multiple data sets to obtain a plurality of candidate entities corresponding to the entity identifier, and the multiple data sets include : Data collections of multiple business domains, data collections of multiple channels, and multiple types of data collections; select some candidate entities from multiple candidate entities as target entities; determine multiple target entities corresponding to multiple Target tags; determine target entity relationships among multiple target entities according to multiple target tags. Through the present disclosure, intelligent matching of candidate entities and entity relationships can be realized, the impact of ambiguity on candidate entity identification can be reduced, the accuracy of target entity and target entity relationship identification can be effectively improved, and the recognition effect of target entity and target entity relationship can be further improved.
Description
technical field [0001] The present disclosure relates to the technical field of knowledge map relationship construction, and in particular to a tag-based relationship construction method, device, electronic equipment, and storage medium. Background technique [0002] With the development of technologies such as the Internet of Things, cloud computing, artificial intelligence, and big data, the scale of data has shown unprecedented explosive growth, and the data model has shown a trend of highly complex evolution. The evolution of network infrastructure, the improvement of computing power, the innovation of algorithms, and the sinking of application scenarios provide a good foundation for the flow of data elements. At the same time, the value of data also faces many problems. The complexity, relevance, and time-varying nature of data bring challenges to information fusion and knowledge learning. [0003] In related technologies, the recognition accuracy of entity-entity rela...
Claims
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IPC IPC(8): G06F40/295G06K9/62G06F40/30G06F16/35
CPCG06F40/295G06F16/35G06F40/30G06F18/22
Inventor 贾晓丰江茜肖益张晰李宝东穆显显
Owner 北京市大数据中心