
It is very difficult to evaluate the effects of government governance.Without a good evaluation method and evaluation system,the effects of government governance cannot be guaranteed.Understanding the intention of web users in the topic of government governance from the perspective of natural language question-and-answering was proposed.By constructing a knowledge graph of intentions,equivalent questions and intentions were associated.The definition,construction framework and usage examples in government governance were illustrated,showing that knowledge graph of intentions is an effective way to evaluate the effects of government governance.In the context of government governance,by using the knowledge graphs of intentions,the intention fields between different governance subjects under the same governance topic were analyzed and compared,the effects of specific governance subjects on specific governance topics were analyzed,and the issues remained in government governance were found.
Electronic computers. Computer science, QA75.5-76.95, intention understanding;knowledge graph;natural language question answering;entity recognition
Electronic computers. Computer science, QA75.5-76.95, intention understanding;knowledge graph;natural language question answering;entity recognition
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
