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Title: Deploying a Semantically-Enabled Content Management System in a State University
Author(s): M. Befa, E. Kontopoulos, N. Bassiliades, C. Berberidis, I. Vlahavas.
Availability: Click here to download the PDF (Acrobat Reader) file (8 pages).
Keywords: semantic web, metadata, content management, ontology.
Appeared in: Proceedings of EGOVIS 2010, K. N. Andersen et al. (Eds.), Springer, Heidelberg, LNCS 6267, pp. 257-264, 2010.
Abstract: Public institutes often face the challenge of managing vast volumes of administrative documents, a need that is often met via Content Management Systems (CMSs). CMSs offer various advantages, like separation of data struc-ture from presentation and variety in user roles, but also present certain disad-vantages, like inefficient keyword-based search facilities. The new generation of content management solutions imports the notion of semantics and is based on Semantic Web technologies, such as metadata and ontologies. The benefits include semantic interoperability, competitive advantages and dramatic cost re-duction. In this paper a leading Enterprise CMS is extended with semantic ca-pabilities for automatically importing and exporting ontologies. This functional-ity enables reuse of repository content, semantically-enabled search and interoperability with third-party applications. The extended system is deployed in semantically managing the large volumes of documents for a state university.
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        This paper has been cited by the following:

1 Νάκος, Κ. "Συστήματα διαχείρισης περιεχομένου και σημαντικός ιστός". Διπλωματική Εργασία, Τμήμα Μηχανικών Η/Υ και Πληροφορικής (ΔΕ), Πανεπιστήμιο Πατρών, 2011.
2 Jaffar Ahmad Alalwan, Heinz Roland Weistroffer, (2012),"Enterprise content management research: a comprehensive review", Journal of Enterprise Information Management, Vol. 25, Iss: 5, pp. 441 - 461.
3 Alalawan, J. A. "The strategic association between enterprise content management and decision support". PhD Thesis, Virginia Commonwealth University, Virginia, U.S.A., May 2012.
4 Jaffar Ahmad Alalwan, A taxonomy for decision support capabilities of enterprise content management systems, The Journal of High Technology Management Research, Volume 24, Issue 1, 2013, Pages 10-17, ISSN 1047-8310, 10.1016/j.hitech.2013.02.001.
5 Alalwan, J. A., Thomas, M. A., Weistroffer, H. R. Decision support capabilities of enterprise content management systems: An empirical investigation. Decision Support Systems, Vol. 68, pp. 39 - 48, 2014, http://dx.doi.org/10.1016/j.dss.2014.09.002.
6 Arshad, N. I., Mehat, M., & Ariff, M. I. M. (2014). Exploring the Use of Enterprise Content Management Systems in Unification Types of Organizations. In EPJ Web of Conferences (Vol. 68, p. 00019). EDP Sciences.


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