Smart city information question and answer method based on knowledge graph

By building knowledge graphs and deep learning models, a smart city information question and answer system based on knowledge graphs is realized, solving the problem of insufficient efficiency and accuracy of users in obtaining Chinese cities, and providing an efficient information retrieval and question and answer experience.

CN119248915APending Publication Date: 2025-01-03GUILIN UNIV OF ELECTRONIC TECH +1
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Patent Information

Application Number
CN202411296787.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-18
Publication Date
2025-01-03

AI Technical Summary

Technical Problem

The existing technology is difficult to effectively meet users' needs to obtain Chinese city information, and users need to manually retrieve information, which is insufficient efficiency and accuracy.

Method used

Using knowledge graph technology, we obtain Chinese city information through crawlers, build knowledge graphs, use deep learning models for intention recognition and urban entity recognition, and realize automated query and answer generation of the Q&A system.

Benefits of technology

It improves the efficiency and accuracy of information retrieval, eliminates the process of manual retrieval by users, and directly provides questions and answers in natural language form to meet users' needs for obtaining information.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a smart city information question and answer method based on a knowledge graph. The method comprises the following steps: 1) collecting Chinese city information data; 2) constructing a Chinese city information knowledge graph; 3) constructing an intention recognition model; 4) constructing a city entity identification model; 5) user question processing; and 6) generating answers. Compared with a search engine, the advantages of the knowledge graph are fully played, the manual retrieval process of the user is omitted, and the corresponding question and answer result is directly fed back to the user, so that the requirement of the user for acquiring information is better met.
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Citation Information

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