A Personalized Mashup Using Rule-based Reasoning and Linked Data

Presented at: 10th International Semantic Web Conference (ISWC2011)

by Aikaterini Kalou, Georgia Solomou, Dimitrios Koutsomitropoulos, Theodore Papatheodorou

In this paper we propose an intelligent personalization service, built upon the idea of combining Linked Data with Semantic Web rules. This service is mashing up information from different bookstores, and suggests users with personalized data according to their preferences. This information as well as the personalization rules are then processed and managed by a scalable knowledge repository. Finally, they are made available as Linked Data, thus enabling thirdparty recipients to consume knowledge-enhanced information.

A Personalized Mashup Using Rule-based Reasoning and Linked Data was presented at this event.


Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc/2011/paper/poster-demo/4


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