Context Representation for Context-Aware Mobile Multimedia Content Recommendations

• Type: Article in International Conference Proceedings Book
• Date: 2011

Authors

M. T. Andrade (Author) FEUP; Abayomi Otebolaku (Author) FEUP

Conference proceedings International

Title: 15th IASTED Conference on Internet and Multimedia Systems and Applications

15th IASTED Conference on Internet and Multimedia Systems and Applications

Washington DC, 16 a 18 de Maio 2011

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Technology > Internet technology

Other information

Abstract (EN): Very few of the current solutions for content recommendation take into consideration the context of usage when analyzing the preferences of the user and issuing recommendations. Nonetheless, context can be extremely useful to help identify appropriate content for the specific situation or activity the user is in, while consuming the content. In this paper, we present a solution to allow content-based recommendation systems to take full potential of contextual data, by defining a standards-based representation model which accounts for possible relationships among low-level contexts. The MPEG-7 and MPEG-21 standards are used for content description and low-level context representation. OWL/RDF ontologies are used to capture contextual concepts and, together with SWRL to establish relationships and perform reasoning to derive high-level concepts the way the humans do. This knowledge is then used to drive the recommendation and content adaptation processes. As a side achievement, an extension to the MPEG-21 specification was developed to accommodate the description of user activities, which we believe have a great impact on the type of content to be recommended.

Language: English

Type (Professor's evaluation): Scientific