Current e-government initiatives are offering a huge amount of information about available services, which tends to overload citizens, who are often “lost”. Intelligent Web-based portals represent a possible solution to this problem, by providing an effective and user-friendly access to online information and service descriptions. In particular, this paper proposes an approach based on formal ontologies and shows how they can provide a great enhancement in this direction. Formal semantic knowledge, in fact, enables the exploitation of reasoning mechanisms to understand users goals and provide them with information and services satisfying their needs. The proposed approach has been tested on a set of services provided by a local Italian Public Administration and results are encouraging.

How Semantic Knowledge can Enhance the Access to PA Online Services

GOY, Annamaria;MAGRO, Diego;
2013-01-01

Abstract

Current e-government initiatives are offering a huge amount of information about available services, which tends to overload citizens, who are often “lost”. Intelligent Web-based portals represent a possible solution to this problem, by providing an effective and user-friendly access to online information and service descriptions. In particular, this paper proposes an approach based on formal ontologies and shows how they can provide a great enhancement in this direction. Formal semantic knowledge, in fact, enables the exploitation of reasoning mechanisms to understand users goals and provide them with information and services satisfying their needs. The proposed approach has been tested on a set of services provided by a local Italian Public Administration and results are encouraging.
2013
15th International Conference on Information Integration and Web-based Applications and Services (iiWAS 2013)
Vienna (Austria)
2-4 December 2013
iiWAS2013 - The 15th International Conference on Information Integration and Web-based Applications and Services
ACM - Association for Computing Machinery
714
718
9781450321136
http://dl.acm.org/citation.cfm?id=2539218&CFID=736174949&CFTOKEN=16760704
e-government; Semantic Web; ontology; online services; Public Administration
Goy, Annamaria; Magro, Diego; Matteo, Casu; Vittorio Di Tomaso,
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/143937
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