CPS-based technology and system for opening application through semantic recognition
A technology of semantic recognition and technology, applied in the computer field, can solve problems such as poor software usability, low recognition accuracy, part of speech, part of speech, word meaning, ideology, and complex composition logic, etc., and achieve the effect of accurate search results
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Embodiment 1
[0032] refer to figure 1 , a technology and system for opening applications through semantic recognition based on CPS, comprising the following steps:
[0033] S1. Establish physical models of facilities, equipment, and indicators based on CPS, configure affiliation and affiliation, and form a relationship network between objects;
[0034] S2. Establish an organizational model based on CPS. There are affiliation relationships, superior-subordinate relationships, etc. between people and organizations. Define the organizational model to form a relationship network between people and people, people and organizations, and organizations and organizations;
[0035] S3. Establish a business model based on CPS, define the business model from the perspective of business management, and form a comprehensive relationship network among people, places, things, things, and industries;
[0036] S4. Establish the control model of the device based on the CPS, and define the corresponding enab...
Embodiment 2
[0040] refer to figure 1 , the model architecture includes the following steps:
[0041] 1. Establish a physical model through CPS;
[0042] 2. Establish an organizational model through CPS;
[0043] 3. Establish a business model through CPS;
[0044] 4. Establish a control model through CPS;
[0045] 5. Establish rules and strategy models through CPS;
[0046] 6. Extract data through CPS;
[0047] 7. Through natural language processing technology, analyze and organize the data to form a relationship network;
[0048] 8. Use database or data table for data storage;
[0049] 9. For the extracted text, semantics, content and other features, through the construction of knowledge ontology, the matching between entities is realized, and then they are stored in the Key-Value type database to complete the data mapping and ontology fusion;
[0050] 10. Extract various relationships from data, and form knowledge application through knowledge calculation and various integration r...
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