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

  • Andrea KőEmail author
  • Saira Gillani
Conference paper
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9831)

Abstract

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.

Keywords

ICT for Governance and Policy Modelling Text analytics Information extraction Information categorization 
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Authors and Affiliations

  1. 1.Corvinus University of BudapestBudapestHungary
  2. 2.Department of Computer ScienceCOMSATS Institute of Information TechnologyIslamabadPakistan

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