基于知识融合的政务信息化项目多专家审批意见整合<sup>*</sup>

doi:10.11925/infotech.2096-3467.2021.0137

数据分析与知识发现

2021, Vol. 5

Issue (10): 124-136 https://doi.org/10.11925/infotech.2096-3467.2021.0137

研究论文

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基于知识融合的政务信息化项目多专家审批意见整合^*

华斌(

),吴诺,贺欣

天津财经大学理工学院天津 300222

Integrating Expert Reviews for Government Information Projects with Knowledge Fusion

Hua Bin(

),Wu Nuo,He Xin

School of Science and Technology, Tianjin University of Finance and Economics, Tianjin 300222, China

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摘要

【目的】 提出一种利用知识融合实现政务信息化项目多专家审批意见短文本的整合方法,实现以认知层知识融合为主导的综合意见生成。【方法】 通过对专家意见进行内容挖掘完成知识获取;利用目标知识概念树与自定义方法对其进行实体层次性语义挖掘;利用领域本体在文本结构模型基础上实现微观和宏观层的知识融合并生成综合意见。【结果】 对比原始多专家审批意见,基于知识融合生成的综合意见信息量增加0.19,所含知识元的平均比值达到115.38%,均显示了所提方法的有效性。【局限】 受到专家意见语言规范程度与领域知识完整度的影响。【结论】 利用科学的知识补充与表示,所提方法较传统的短文本整合方法显示出更好的问题针对性、知识覆盖程度和可推广性,也取得了良好的应用效果。

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关键词 ：政务信息系统, 项目管理, 意见挖掘, 知识融合, 文本整合

Abstract：

[Objective] This paper proposes a new method to integrate the short texts of multi-expert reviews for the same government information project, aiming to generate comprehensive opinion with knowledge fusion at the cognitive level. [Methods] First, we extracted knowledge from the reviews through content mining. Then, we analyzed semantics of these reviews with target knowledge concept tree and customized method. Third, we finished knowledge fusion at the micro and macro levels based on the text structure model and domain ontology. [Results] Compared with the original texts, the amount of information provided by our method was increased by 0.19, while the average ratio of knowledge elements reached 115.38%. [Limitations] The proposed method could be affected by the language of expert reviews and the integrity of domain knowledge. [Conclusions] Our new method could effectively integrate short texts from various fields.

Key words： Government Information System Project Management Opinion Mining Knowledge Fusion Text Integration

收稿日期: 2021-02-08 出版日期: 2021-11-23

ZTFLH:

TP391

基金资助:*天津市信息化专项资金项目(津党网信函（2018）146号)

通讯作者: 华斌,ORCID：0000-0002-2411-3638 E-mail: bigsoon@sina.com

引用本文:

华斌, 吴诺, 贺欣. 基于知识融合的政务信息化项目多专家审批意见整合^*[J]. 数据分析与知识发现, 2021, 5(10): 124-136.
Hua Bin, Wu Nuo, He Xin. Integrating Expert Reviews for Government Information Projects with Knowledge Fusion. Data Analysis and Knowledge Discovery, 2021, 5(10): 124-136.

链接本文:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.2096-3467.2021.0137 或 https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2021/V5/I10/124

Fig.1 政务信息化项目专家审批意见表示例

Fig.2 电子政务信息系统参考模型

Table 1 概念间语义关系描述

Fig.3 基于分层语义识别的专家意见获取

Fig.4 以知识融合为基础的专家意见整合策略

Fig.5 基于SAO对齐的知识融合示例

Fig.6 项目领域知识概念树示例（部分）

Fig.7 政务信息化项目审批知识本体

Table 2 项目要素与其各子类概念间语义关系描述

Table 3 专家审批意见SAO结构化知识语义分析

Table 4 专家审批意见非SAO结构化知识语义分析

Table 5 评价特征分词语义识别实验结果

Table 6 情感分析实验结果

Table 7 属性参考词表

Table 8 政务子职能属性参考词表

Table 9 组内各专家审批意见

Table 10 专家组审批意见整合结果

Table 1 1 基于信息量的文本检验结果

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