A Semantic Content Management System for e-Gov Applications

Donato Cappetta, Salvatore D'Elena, Vincenzo Moscato, Vincenzo Orabona, Raffaele Palmieri, Antonio Picariello

2014

Abstract

In this paper, we describe a novel Semantic Content Management System (SCMS) able to handle multimedia contents of different kinds (e.g. texts and images) using the related semantics and capable of supporting e-gov applications in different scenarios. All the information is described using semantic metadata semiautomatically extracted from multimedia data, which enriches the browsing experience and enables semantic contents’ authoring and queries. To this aim, several Semantic Web technologies have been exploited : RDF/OWL for data modeling and representation, SPARQL as querying language, Multimedia Information Extraction techniques for content annotation, W3C standard models, vocabularies and micro-formats for resource description. In addition, we propose for entity annotation issue the LOD approach. As an application scenario of the platform, we report a system customization useful for managing the semantic matching between the required professional profiles by a Public Administration and the available skills in a set of curricula vitae with respect to a given call.

References

  1. Apache, Apache Solr Online Available: lucene.apache.org/solr/, 2010.
  2. Apache, Apache Stanbol. Online Available: https:// stanbol.apache.org, 2013.
  3. S. Bandyopadhyay et al. Emerging Applications of Natural Language Processing: Concepts and New Research. Information Science Reference, 2013.
  4. J. Boye, What's in a name. Online Available: http:// www.slideshare.net/JanusBoye/whats-in-a-namewhat-do-we-really-mean-with-cms-in-2012., 2012.
  5. U. P. d. Catalunya, Freeling. Online Available: http://nlp.lsi.upc.edu/freeling/, 2013.
  6. FBK, Web of Data. Online Available: http://wed.fbk.eu/, 2014
  7. T. Heath, LinkedData.org. Online Available: http:// linkeddata.org/, 2013.
  8. Lacroix, Linked Enterprise Data Online Available http:// www.inria.fr/content/.../Fabrice-LACROIX.pdf, 2013.
  9. M. Lux, Semantic Metadata. Online Available: http://www.semanticmetadata.net/features/, 2009. Linked Data. Online Available: http://www.w3.org/egov/wiki/Linked Data, 2011. Schema.org.
  10. www.schema.org, 2011 Online Available: HTML Microdata. Online able:http://www.w3.org /TR/microdata/, 2013. RDFa. Online Available: http://www.w3.org/ TR/xhtml-rdfa-prime, 2013.
  11. W3C, SPARQL. Online Available: http://www.w3.org /TR/sparql11-overview/, 2013.
  12. P. Van Til, A. van der Lans, P.l Baan, Enterprise Information Management. Book, Lulu.com, 2010.
  13. Roberto García, Juan Manuel Gimeno, Juan Manuel, Ferran Perdrix, Rosa Gil, Marta Oliva, The rhizomer semantic content management system, Emerging Technologies and Information Systems for the Knowledge Society, pp. 385-394, 2008, Springer
  14. 3s Unternehmensberatung (AT), DISCO 2 Project. Online Available: http://disco-tools.eu/disco2 portal/
Download


Paper Citation


in Harvard Style

Cappetta D., D'Elena S., Moscato V., Orabona V., Palmieri R. and Picariello A. (2014). A Semantic Content Management System for e-Gov Applications . In Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: KomIS, (DATA 2014) ISBN 978-989-758-035-2, pages 440-445. DOI: 10.5220/0005146404400445


in Bibtex Style

@conference{komis14,
author={Donato Cappetta and Salvatore D'Elena and Vincenzo Moscato and Vincenzo Orabona and Raffaele Palmieri and Antonio Picariello},
title={A Semantic Content Management System for e-Gov Applications},
booktitle={Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: KomIS, (DATA 2014)},
year={2014},
pages={440-445},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005146404400445},
isbn={978-989-758-035-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: KomIS, (DATA 2014)
TI - A Semantic Content Management System for e-Gov Applications
SN - 978-989-758-035-2
AU - Cappetta D.
AU - D'Elena S.
AU - Moscato V.
AU - Orabona V.
AU - Palmieri R.
AU - Picariello A.
PY - 2014
SP - 440
EP - 445
DO - 10.5220/0005146404400445