Ontology-based public health event reasoning method and device, and electronic equipment

By using ontology-based methods to represent public health data and establish spatiotemporal associations, an ontology for the public health domain is constructed. This addresses the issues of weak information expression capabilities and low accuracy in existing technologies, enabling more efficient public health event reasoning and data integration.

CN116127091BActive Publication Date: 2026-06-26CHINA TELECOM CORP LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA TELECOM CORP LTD
Filing Date
2022-12-28
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing knowledge graph construction methods for public health data mainly focus on natural language processing of text, which has weak information expression capabilities, low accuracy, and lacks a unified knowledge graph standard, leading to obstacles in data integration and application.

Method used

This paper adopts an ontology-based approach to represent public health data, constructs a public health ontology, and combines OWL-Time and GeoNames ontology to extend the spatiotemporal association mechanism for event services and pattern knowledge representation. It also monitors public health events through atomic event reasoning.

Benefits of technology

It enables cross-domain data interoperability, improves the accuracy and information content of public health event reasoning, and supports intelligent monitoring and analysis of complex events.

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Abstract

The application discloses an ontology-based public health event reasoning method and device, and belongs to the technical field of big data. The method comprises the following steps: performing knowledge representation on public health field data to obtain a public health field ontology related to public health events; performing knowledge representation on time and space to obtain a time-space correlation mechanism; performing knowledge representation on event services and event modes in the public health field; performing reasoning on dynamic data of entities, attributes and relationships in the public health field ontology to predict atomic events; and in response to a public health event query, obtaining a public health event reasoning result according to event modes matched by the query and event services and / or the time-space correlation mechanism corresponding to the atomic events. The method is more operable in data by performing knowledge ontology representation on field data and cross-time-space dimension data. By performing knowledge representation on event services and event modes in the public health field, reasoning on complex public health events is realized.
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