意图知识图谱的构建与应用

doi:10.11959/j.issn.2096-0271.2020014

Abstract

Abstract:

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.

Key words: intention understanding, knowledge graph, natural language question answering, entity recognition

CLC Number:

TP391

Cheng CHEN, Yueguo CHEN, Chen LIU, Xiaotong LYU, Xiaoyong DU. Constructing and analyzing intention knowledge graphs[J]. Big Data Research, 2020, 6(2): 57-68.

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References 9

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对比项	收集难度	数据量	时效性	流行度判断
万维网	高	大	低	难
微博	较高	大	高	易
问答社区	低	中	中	易

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Constructing and analyzing intention knowledge graphs

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