By Topic

Recommending and Finding Multimedia Resources in Knowledge Acquisition Based on Web Resources

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Christoph Rensing ; Multimedia Commun. Lab., Tech. Univ. Darmstadt, Darmstadt, Germany ; Philipp Scholl ; Doreen Bohnstedt ; Ralf Steinmetz

Personal knowledge acquisition in a world where people have to acquire knowledge for task completion on the job constantly is done increasingly based on Web resources. Web resources ranging from mainly text based forms like Wikis up to multimedia resource like videos document knowledge and can be used for knowledge acquisition. Due to the participation of communities in creating content in Web 2.0 applications the mass of available resources increases steadily. Searching for high quality and reliable resources using a search engine becomes impossible. Thus, recommending relevant resources becomes more and more important. For this learning scenario, we present and compare different approaches for recommendation of multimedia resources we integrated in an application for collaborative management of Web resources for learning purposes, called CROKODIL.

Published in:

Computer Communications and Networks (ICCCN), 2010 Proceedings of 19th International Conference on

Date of Conference:

2-5 Aug. 2010