首页> 外文会议>International conference on electronic government and the information systems perspective >Research Challenges of ICT for Governance and Policy Modelling Domain - A Text Mining-Based Approach
【24h】

Research Challenges of ICT for Governance and Policy Modelling Domain - A Text Mining-Based Approach

机译:信息通信技术对治理和政策建模领域的研究挑战-基于文本挖掘的方法

获取原文

摘要

This paper investigates the main emerging (current and new) research challenges and areas of ICT for Governance and Policy Modelling field and its taxonomy. Several articles are dealing with future trends and challenges of eGovernment and its areas, like policy making, policy modelling and governance. These papers apply various research methods, but in the majority of the articles identification of future research issues rely only on human expertise, which is a valid, but time and human resource consuming option. Another drawback of these methods is related to the limited volume and variety of data source. We suggest a different semi-automatic solution for this investigation, which is based on our semi-automatic text mining method to identify and describe the main new research areas of ICT for Governance and Policy Modelling field, and its taxonomy. Our text mining solution combines four modules; linguistic analysis module, information extraction, information filtration and information categorization module. The main contribution of this work is to present a semi-automatic method to identify and describe the main new research areas.
机译:本文研究了信通技术在治理和政策建模领域及其分类法方面的主要新兴(当前和新的)研究挑战和领域。有几篇文章讨论了电子政务及其领域的未来趋势和挑战,例如政策制定,政策建模和治理。这些论文采用了各种研究方法,但是在大多数文章中,对未来研究问题的识别仅依赖于人类的专业知识,这是一种有效的方法,但是会浪费时间和人力资源。这些方法的另一个缺点与数据源的数量和种类有限有关。我们建议针对此调查采用另一种半自动解决方案,该解决方案基于我们的半自动文本挖掘方法来识别和描述ICT在治理和政策建模领域的主要新研究领域及其分类法。我们的文本挖掘解决方案结合了四个模块;语言分析模块,信息提取,信息过滤和信息分类模块。这项工作的主要贡献是提出了一种识别和描述主要的新研究领域的半自动方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号