Method, device, medium and product for intelligent design of task implementation structure based on ontology knowledge graph
By using an ontology-based knowledge graph approach, the robot task implementation structure is designed automatically, which solves the problem of low intelligence in existing technologies and achieves higher intelligence and versatility.
CN118690025BActive Publication Date: 2026-07-24NAT UNIV OF DEFENSE TECH
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NAT UNIV OF DEFENSE TECH
- Filing Date
- 2024-06-20
- Publication Date
- 2026-07-24
AI Technical Summary
Technical Problem
Existing software architecture design processes have low levels of intelligence, lack versatility, and require a large amount of code to be written manually.
Method used
Based on ontology knowledge graph, a list of keywords for robot task requirements is extracted, actions and their execution order are constructed, a behavior tree is generated, a task implementation structure is designed, and robot tasks are executed automatically.
Benefits of technology
It improves the intelligence and versatility of the software architecture, reducing the need for manually writing control programs.
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Figure CN118690025B_ABST
Abstract
The application provides a task implementation structure intelligent design method and device based on an ontology knowledge graph, a medium and a product, relates to the field of intelligent software engineering, and comprises the following steps: extracting a keyword list corresponding to a robot task requirement; inputting the keyword list into an ontology knowledge graph, and outputting actions corresponding to the robot task and an action execution sequence; the ontology knowledge graph is constructed based on a robot ontology knowledge base; constructing a plurality of basic logics for implementing the robot task according to the actions and the action execution sequence; each basic logic corresponds to a group of triple knowledge; generating a behavior tree according to the plurality of triple knowledge; designing a task implementation structure based on the ontology knowledge graph according to the behavior tree; and the task implementation structure based on the ontology knowledge graph is used for executing the robot task. The application improves the intelligent degree and the universality of the designed software architecture.
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