Challenges in Using Linked Data within a Social Web Recommendation Application to Semantically Annotate and Discover Venues

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. In this paper, we focus only on the consumption and usage of Linked Data for the needs of social recommendation system and point out the challenges and shortcomings that need to be addressed.
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Communication dans un congrès
Gerald Quirchmayr; Josef Basl; Ilsun You; Lida Xu; Edgar Weippl. International Cross-Domain Conference and Workshop on Availability, Reliability, and Security (CD-ARES), Aug 2012, Prague, Czech Republic. Springer, Lecture Notes in Computer Science, LNCS-7465, pp.360-374, 2012, Multidisciplinary Research and Practice for Information Systems. 〈10.1007/978-3-642-32498-7_27〉
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Jakub Dzikowski, Monika Kaczmarek, Szymon Lazaruk, Witold Abramowicz. Challenges in Using Linked Data within a Social Web Recommendation Application to Semantically Annotate and Discover Venues. Gerald Quirchmayr; Josef Basl; Ilsun You; Lida Xu; Edgar Weippl. International Cross-Domain Conference and Workshop on Availability, Reliability, and Security (CD-ARES), Aug 2012, Prague, Czech Republic. Springer, Lecture Notes in Computer Science, LNCS-7465, pp.360-374, 2012, Multidisciplinary Research and Practice for Information Systems. 〈10.1007/978-3-642-32498-7_27〉. 〈hal-01542456〉

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