Abstract
E-government has become almost synonymous with a consumer-led revolution of government services inspired and made possible by the Internet. With technology being the least of the worries for government organizations nowadays, attention is shifting towards managing complexity as one of the basic antecedents of operational and decision-making inefficiency. Complexity has been traditionally preoccupying public administrations and owes its origins to several sources. Among them we encounter primarily the cross-functional nature and the degree of legal structuring of administrative work. Both of them have strong reliance to the underlying process and information infrastructure of public organizations. Managing public administration work thus implies managing its processes and information. Knowledge management (KM) and business process reengineering (BPR) have been deployed already by private organizations with success for the same purposes and certainly comprise improvement practices that are worthwhile investigating. Our contribution through this paper is on the utilization of KM for the e-government.
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Notes
- 1.
SAKE (Semantic-enabled Agile Knowledge-based E-Government) Project (IST-027128) is a European Commission project in the 6th Framework Program. The work presented in this chapter is funded by the SAKE project. For more information visit the project’s website: www.sake-project.org.
- 2.
Mapping of the knowledge landscape was based on the CommonKADS methodology (Knowledge Engineering and Management, The CommonKADS Methodology”, G. Screiber et al.)
- 3.
http:// www.w3.org/Submission/SWRL/
- 4.
- 5.
Preference aggregation is computed in cases where there exist more than one preference rule for an information resource.
- 6.
The condition, if required, may be formally expressed in the action part (i.e., in the preference rule).
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Samiotis, K., Stojanovic, N. (2010). Semantic-Based Knowledge Management in E-Government: Modeling Attention for Proactive Information Delivery. In: Vitvar, T., Peristeras, V., Tarabanis, K. (eds) Semantic Technologies for E-Government. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03507-4_10
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