Multimedia Mashup Markup Language

Abstract

Mashups refer to integrating content from disparate sources to create new data for supporting new functionality. By hybridization of information, reusing and remixing available content through associations and recombination, new services can be provided to the users. Although data mashups are not new, mashups of multimedia content is still in its infancy. We propose a new language - Multimedia Mash up Markup Language (M3L) - that enables flexible access and easy combination of multimedia content. We first describe state-of-the-art in mashups before presenting our proposed language, while emphasizing its distinct features compared with state-of-the-art. We also propose extending Synchronized Multimedia Integration Language (SMIL) to support logic for data manipulation necessary for handling result set processing.