An Application of Computational Collective Intelligence to Governance and Policy Modelling
The spread of social media provides a great opportunity to enhance the transparency, participation and collaboration in modern democracies. Since nothing is perfect, a best practice engineering approach can be used to continuously monitor processes and operations that are applied in increasing the participation of people and improving public service provision. This paper outlines some basic concept of our initiative called “Knowledge Management Tools for Quality of Experience Evaluation and Policy Modeling-KNOWN” that aims at the modeling and analysis of data collected from social media and other online sources. The purpose is to provide quantitative information and feedbacks regarding the quality of open government and public service provision.
KeywordsOpen Government Sentiment Analysis Software Framework Ontology Match Knowledge Graph
Unable to display preview. Download preview PDF.
- 1.Bell, M.: Introduction to Service-Oriented Modelling. In: Service-Oriented Modelling: Service Analysis, Design, and Architecture. Wiley & Sons (2008)Google Scholar
- 2.Berners-Lee, T., et al.: The Semantic Web, pp. 29–37. Scientific American (2001)Google Scholar
- 3.Caracciolo, C., et al.: Results of the ontology alignment evaluation initiative 2008. In: Proc. of the 3rd International Workshop on Ontology Matching, held at the International Semantic Web Conference, pp. 73–119 (2008)Google Scholar
- 4.Huckfeldt, R., Johnson, P.E., Sprague, J.: Political Disagreement. The Survival of Diverse Opinions within Communication Networks. Cambridge University Press (2004)Google Scholar
- 6.Lathrop, D., Ruma, L.: Open government: Collaboration, transparency, and participation in practice. O’Reilly Media (2010)Google Scholar
- 8.Manning, C.D., et al.: Introduction to Information Retrieval. Cambridge University Press (2008)Google Scholar
- 10.Newman, M.: Networks: An Introduction. Oxford University Press, Inc., New York (2010)Google Scholar
- 12.Scheuer, O., et al.: Computer-Supported Argumentation: A Review of the State-of-the-Art. Int. Journal of CSCL (2010)Google Scholar
- 13.Sommerville, I.: Software Engineering, 9/e edn. Addison-Wiley (2011)Google Scholar
- 14.Stocker, R., et al.: Network structures and agreement in social network simulations. Journal of Artificial societies and social simulation 5(4) (2002)Google Scholar
- 15.The White House. Memorandum for the heads of executive departments and agencies: Transparency and open government (2009) Google Scholar