Event data processing method, device, equipment and medium based on knowledge graph

Abstract

The present application relates to a knowledge graph-based event data processing method, device, device, and medium. The method includes: obtaining query conditions; using the query conditions to filter and call the word pointer array of the event intelligence knowledge graph, and locate the word pointer array corresponding to the query condition Target array element; using the event pointer array of the event intelligence knowledge map, match each element in the event identification list corresponding to the target linked list element, and obtain the target second linked list corresponding to the matched event identification, to indicate that the event to be retrieved is in the event The element information of the corresponding target event intelligence in the intelligence knowledge graph. The event intelligence knowledge graph includes event entities, time entities, location entities, person entities, cause entities, process entities, and result entities. The relationship types of the graph include time description relationships, location description relationships, participation description relationships, and development description relationships. It can reliably complete the analysis and processing of event intelligence data.

Description

technical field

[0001] The present application relates to the technical field of data processing, and in particular to a knowledge graph-based event data processing method, device, device and medium. Background technique

[0002] The organization, storage and retrieval of intelligence information play an important role in intelligence analysis and processing, and are the prerequisites for correct intelligence analysis and processing. Event intelligence is an important type of intelligence, which can provide data support for intelligence analysts to have a deep insight into the development of historical issues and current focus issues. Therefore, the organization and processing of event intelligence is particularly important. Knowledge Graph (Knowledge Graph) combines the theories and methods of applied mathematics, graphics, information visualization technology, and information science with methods such as metrology citation analysis and co-occurrence analysis, and uses visu...

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