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 Constraint based routing due to physical impairments in automatically switched transport networks by Maryam Ramezani
Cover of the book Death in Ernest Hemingway's short story 'The Snows of Kilimanjaro' by Maryam Ramezani
Cover of the book U.S. Refugee and Foreign Policy from the 1930s to 1945 by Maryam Ramezani
Cover of the book Benjamin Franklin in his Autobiography and in Edmund S. Morgan's Biography Benjamin Franklin by Maryam Ramezani
Cover of the book Problems of Value At Risk - A Critical View by Maryam Ramezani
Cover of the book Syntactic Movements by Maryam Ramezani
Cover of the book Sexuality in Charlotte Brontë's 'Jane Eyre' by Maryam Ramezani
Cover of the book Sexy Families for Sexy Citizens? by Maryam Ramezani
Cover of the book Age group-based patterns of sexual activity, condom use and acceptability of HIV preventive measures among Filipino males. Who are most at risk? by Maryam Ramezani
Cover of the book Motivation in Open Innovation - An Exploratory Study on User Innovators by Maryam Ramezani
Cover of the book Do German Capital Markets React When Corporate Insiders Exercise Stock Options? by Maryam Ramezani
Cover of the book Three Revolutionary Sources of Business Upheaval and the New Business Strategy by Maryam Ramezani
Cover of the book Business Strategy of British Airways. A Case Study by Maryam Ramezani
Cover of the book The British Empire through the eyes of lexicography by Maryam Ramezani
Cover of the book Co-operative System of European Security 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