Abstract
In this tutorial, we discuss challenges and solutions for engineering the Personal Social Semantic Web, a Web where user modeling and personalization is featured across system boundaries. Therefore, we learn user modeling and personalization techniques for Social Web systems. We dive into engineering aspects of social tagging and micro-blogging services and examine appropriate modeling and mining techniques for these systems. We discuss Semantic Web and Linked Data principles that allow for linkage and alignment of distributed user data and show how system engineers can exploit the Social Semantic Web to personalize user experiences. © 2012 Springer-Verlag.
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CITATION STYLE
Abel, F., & Houben, G. J. (2012). Engineering the personal social semantic web. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7059 LNCS, pp. 355–356). https://doi.org/10.1007/978-3-642-27997-3_40
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