Using Data Mining for Facilitating User Contributions in the Social Semantic Web

Nonfiction, Computers, Internet
Cover of the book Using Data Mining for Facilitating User Contributions in the Social Semantic Web by Maryam Ramezani, GRIN Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Maryam Ramezani ISBN: 9783656047087
Publisher: GRIN Publishing Publication: November 4, 2011
Imprint: GRIN Publishing Language: English
Author: Maryam Ramezani
ISBN: 9783656047087
Publisher: GRIN Publishing
Publication: November 4, 2011
Imprint: GRIN Publishing
Language: English

Doctoral Thesis / Dissertation from the year 2011 in the subject Computer Science - Internet, New Technologies, grade: 1,0, Karlsruhe Institute of Technology (KIT), language: English, abstract: Social Web applications have emerged as powerful applications for Internet users allowing them to freely contribute to the Web content, organize and share information, and utilize the collective knowledge of others for discovering new topics, resources and new friends. While social Web applications such as social tagging systems have many benefits, they also present several challenges due to their open and adaptive nature. The amount of user generated data can be extremely large and since there is not any controlled vocabulary or hierarchy, it can be very difficult for users to find the information that is of their interest. In addition, attackers may attempt to distort the system's adaptive behavior by inserting erroneous or misleading annotations, thus altering the way in which information is presented to legitimate users. This thesis utilizes data mining and machine learning techniques to address these problems. In particular, we design and develop recommender systems to aid the user in contributing to the Social Semantic Web. In addition, we study intelligent techniques to combat attacks against social tagging systems. In our work, we first propose a framework that maps domain properties to recommendation technologies. This framework provides a systematic approach to find the appropriate recommendation technology for addressing a given problem in a specific domain. Second, we improve existing graph-based approaches for personalized tag recommendation in folksonomies. Third, we develop machine learning algorithms for recommendation of semantic relations to support continuous ontology development in a social semanticWeb environment. Finally, we introduce a framework to analyze different types of potential attacks against social tagging systems and evaluate their impact on those systems.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Doctoral Thesis / Dissertation from the year 2011 in the subject Computer Science - Internet, New Technologies, grade: 1,0, Karlsruhe Institute of Technology (KIT), language: English, abstract: Social Web applications have emerged as powerful applications for Internet users allowing them to freely contribute to the Web content, organize and share information, and utilize the collective knowledge of others for discovering new topics, resources and new friends. While social Web applications such as social tagging systems have many benefits, they also present several challenges due to their open and adaptive nature. The amount of user generated data can be extremely large and since there is not any controlled vocabulary or hierarchy, it can be very difficult for users to find the information that is of their interest. In addition, attackers may attempt to distort the system's adaptive behavior by inserting erroneous or misleading annotations, thus altering the way in which information is presented to legitimate users. This thesis utilizes data mining and machine learning techniques to address these problems. In particular, we design and develop recommender systems to aid the user in contributing to the Social Semantic Web. In addition, we study intelligent techniques to combat attacks against social tagging systems. In our work, we first propose a framework that maps domain properties to recommendation technologies. This framework provides a systematic approach to find the appropriate recommendation technology for addressing a given problem in a specific domain. Second, we improve existing graph-based approaches for personalized tag recommendation in folksonomies. Third, we develop machine learning algorithms for recommendation of semantic relations to support continuous ontology development in a social semanticWeb environment. Finally, we introduce a framework to analyze different types of potential attacks against social tagging systems and evaluate their impact on those systems.

More books from GRIN Publishing

Cover of the book How was the behavior of the US in Foreign Policy from 1917 till the end of the Vietnam War and what are the different possibilities? by Maryam Ramezani
Cover of the book The Language Acquisition of Twins and Twin Language by Maryam Ramezani
Cover of the book English, the lingua franca, as a global language and the decline of German as an international language of science by Maryam Ramezani
Cover of the book Death and the End of Time in Beckett's Endgame and Ionesco's Exit the King by Maryam Ramezani
Cover of the book Standard Costing, Variance Analysis and Decision-Making by Maryam Ramezani
Cover of the book The Role of Women in Billy Wilder's 'The Fortune Cookie' by Maryam Ramezani
Cover of the book Proliferation of Governments by Maryam Ramezani
Cover of the book Portraying the other by Maryam Ramezani
Cover of the book The Simile of the Avalanche in Shelley's Prometheus Unbound by Maryam Ramezani
Cover of the book The Representation of Veblen's Concepts from the 'Theory of the Leisure Class' in Dreisers 'Sister Carrie' by Maryam Ramezani
Cover of the book Airbus versus Boeing. Strategic Management Report by Maryam Ramezani
Cover of the book Peter Ackroyd and Metafiction. A Brief Introduction by Maryam Ramezani
Cover of the book In Transition: Jordan's Media Between Freedom and Regulation by Maryam Ramezani
Cover of the book Huey Pierce Long: An Extraordinary Man in Extraordinary Times by Maryam Ramezani
Cover of the book Why do Belgian consumers buy fair trade products... and why not? by Maryam Ramezani
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy