E-Government: Neuer Online-Service bei BAföG-Rückzahlung
In: Verwaltung, Organisation, Personal, Heft 1-2, S. 56
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In: Verwaltung, Organisation, Personal, Heft 1-2, S. 56
In: Unlocking E-Government Potential: Concepts, Cases and Practical Insights, S. 113-132
In: Unlocking E-Government Potential: Concepts, Cases and Practical Insights, S. 275-299
In: Unlocking E-Government Potential: Concepts, Cases and Practical Insights, S. 11-28
In: Irritierte Ordnung. Moderne Politik, S. 73-92
In: Local government studies, Band 38, Heft 3, S. 367-386
ISSN: 0300-3930
In: OECD e-government studies
In: Government information quarterly: an international journal of policies, resources, services, and practices, Band 27, Heft 2, S. 161-170
ISSN: 0740-624X
In: International Journal of Trend in Research and Development, Volume 4(6) (2017)
SSRN
In: International Journal of Social Science and Humanity: IJSSH, S. 366-370
ISSN: 2010-3646
In: Journal of public administration research and theory, Band 15, Heft 3, S. 371-392
ISSN: 1053-1858
In: Handbook of Research on E-Government Readiness for Information and Service Exchange, S. 1-20
In: IFIP - International Federation for Information Processing 189
Part 1: E-Government Foundations ; International audience ; To conduct their business, organizations are nowadays challenged to handle huge amount of information from heterogeneous sources. Novel technologies can help them dealing with this delicate assignment. In this paper we describe an approach to document clustering and outlier detection that is regularly used to organize and summarize knowledge stored in huge amounts of documents in a government organization. The motivation for our preliminary study has been three-fold: first, to obtain an overview of the topics addressed in the recently published e-government papers, with the emphasis on identifying the shift of focus through the years; second, to form a collection of papers related to a preselected terms of interest in order to explore the characteristic keywords that discriminate this collection with respect to the rest of the documents; and third, to compare the papers that address a similar topic from two document sources and to show characteristic similarities and differences between the two origins, with a particular aim to identify outlier papers in each document source that are potentially worth for further exploration. As a document source for our study we used E-Government Reference Library of articles and PubMed. The presented case study results suggest that the document exploration supported by a document clustering tool can be more focused, efficient and effective.
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