Reference Hub3
Personalization Based on Semantic Web Technologies

Personalization Based on Semantic Web Technologies

Vassileios Tsetsos
Copyright: © 2009 |Pages: 24
ISBN13: 9781605661124|ISBN10: 1605661120|ISBN13 Softcover: 9781616925178|EISBN13: 9781605661131
DOI: 10.4018/978-1-60566-112-4.ch003
Cite Chapter Cite Chapter

MLA

Tsetsos, Vassileios. "Personalization Based on Semantic Web Technologies." Semantic Web Engineering in the Knowledge Society, edited by Jorge Cardoso and Miltiadis D. Lytras, IGI Global, 2009, pp. 52-75. https://doi.org/10.4018/978-1-60566-112-4.ch003

APA

Tsetsos, V. (2009). Personalization Based on Semantic Web Technologies. In J. Cardoso & M. Lytras (Eds.), Semantic Web Engineering in the Knowledge Society (pp. 52-75). IGI Global. https://doi.org/10.4018/978-1-60566-112-4.ch003

Chicago

Tsetsos, Vassileios. "Personalization Based on Semantic Web Technologies." In Semantic Web Engineering in the Knowledge Society, edited by Jorge Cardoso and Miltiadis D. Lytras, 52-75. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-112-4.ch003

Export Reference

Mendeley
Favorite

Abstract

Personalization techniques provide optimized access to content and services, based on the preferences and the characteristics of each individual user. Nowadays many applications, either Web-based or not, call for personalized behavior. Obviously, such behavior leads to an increased demand for knowledge management, since personalization is based on user profiles, user preferences, usage policies, and other knowledge components. The main topic of this chapter is the investigation of how well Semantic Web technologies apply to personalized applications. Semantic Web is a relatively new platform for developing (distributed) knowledge-based applications that has gained great popularity in previous years. Hence, this chapter surveys the most prominent techniques for personalization in the context of the Semantic Web. It discusses and compares different approaches to architectural and engineering techniques and other issues relevant to this hot topic. The chapter provides foundational knowledge on this topic, as well as discussion on some key implementation issues.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.