Using Data Mining for Facilitating User Contributions in the Social Semantic Web
M. Ramezani. Karlsruher Institut für Technologie (KIT), Fakultät für Wirtschaftswissenschaften (Fak. f. Wirtschaftswiss.) Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB), Karlsruhe, Germany, PhD Thesis, (February 2011)
Abstract
This thesis utilizes recommender systems to aid the user in contributing to the Social Semantic Web. In this work, we propose a framework that maps domain properties to recommendation technologies. Next, we develop novel recommendation algorithms for improving personalized tag recommendation and for recommendation of semantic relations. Finally, we introduce a framework to analyze different types of potential attacks against social tagging systems and evaluate their impact on those systems.
Karlsruher Institut für Technologie (KIT), Fakultät für Wirtschaftswissenschaften (Fak. f. Wirtschaftswiss.) Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
%0 Thesis
%1 Ramezani_2011
%A Ramezani, Maryam
%C Karlsruhe, Germany
%D 2011
%K data_mining my_thesis phd recommender related_work social_semantic_software social_tagging
%T Using Data Mining for Facilitating User Contributions in the Social Semantic Web
%U http://digbib.ubka.uni-karlsruhe.de/volltexte/1000022794
%X This thesis utilizes recommender systems to aid the user in contributing to the Social Semantic Web. In this work, we propose a framework that maps domain properties to recommendation technologies. Next, we develop novel recommendation algorithms for improving personalized tag recommendation and for recommendation of semantic relations. Finally, we introduce a framework to analyze different types of potential attacks against social tagging systems and evaluate their impact on those systems.
@phdthesis{Ramezani_2011,
abstract = { This thesis utilizes recommender systems to aid the user in contributing to the Social Semantic Web. In this work, we propose a framework that maps domain properties to recommendation technologies. Next, we develop novel recommendation algorithms for improving personalized tag recommendation and for recommendation of semantic relations. Finally, we introduce a framework to analyze different types of potential attacks against social tagging systems and evaluate their impact on those systems. },
added-at = {2011-06-01T09:49:08.000+0200},
address = {Karlsruhe, Germany},
author = {Ramezani, Maryam},
biburl = {https://www.bibsonomy.org/bibtex/2f21fb47a5ce003e896b2b9d9f6df7d01/bluedolphin},
interhash = {9b225710472274f76e3b4150c1d6aacd},
intrahash = {f21fb47a5ce003e896b2b9d9f6df7d01},
keywords = {data_mining my_thesis phd recommender related_work social_semantic_software social_tagging},
month = feb,
school = {Karlsruher Institut für Technologie (KIT), Fakultät für Wirtschaftswissenschaften (Fak. f. Wirtschaftswiss.) Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)},
timestamp = {2011-06-01T09:49:08.000+0200},
title = {Using Data Mining for Facilitating User Contributions in the Social Semantic Web },
type = {PhD Thesis},
url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000022794},
year = 2011
}