Title :
Semantic Web Recommendation application
Author :
Szymon Łazaruk;Jakub Dzikowski;Monika Kaczmarek;Witold Abramowicz
Author_Institution :
Department of Information Systems, Faculty of Informatics and Electronic Economy, Poznan University of Economics, Poland, Poznan 61-875
Abstract :
This paper focuses on a semantically-enhanced Social Web Recommendation application, called Taste It! Try It! It is a mobile restaurants´ review and recommendation application based on a Linked Data source and integrated with a social network. The application is consuming Linked Data (while creating the reviews), producing semantic annotations (about the reviewed entities), and then, querying the gathered data in order to offer personalized recommendations.
Keywords :
"Semantics","Facebook","Mobile communication","Recommender systems","Portals","Resource description framework"
Conference_Titel :
Computer Science and Information Systems (FedCSIS), 2012 Federated Conference on
Print_ISBN :
978-1-4673-0708-6
