Semantic Web mining for Personalized Public Services

Semantic Web mining for Personalized Public Services

Konstantinos Markellos (University of Patras, Greece and Research Academic Computer Technology Institute, Greece), Penelope Markellou (University of Patras, Greece and Research Academic Computer Technology Institute, Greece), Angeliki Panayiotaki (University of Patras, Greece) and Athanasios Tsakalidis (University of Patras, Greece and Research, Greece)
Copyright: © 2007 |Pages: 20
DOI: 10.4018/978-1-59904-027-1.ch001
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Abstract

As citizens are confronted with increasing volumes of information, boundless choices and endless opportunities in the Web environment, the need for personalized public e-services is more compulsory than ever. This chapter explores the way Semantic Web Mining technologies can be incorporated into public e-services domain in order to better meet citizens and authorities requirements. It describes the various steps of personalization process and examines techniques in use today to support it. In sequence, it introduces a recommendation scenario for an e-city portal. Finally, the chapter illustrates current trends in the field suggesting directions that may lead to new scientific results in the area.

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