EMMA(ID:8297/)for Enhanced Multimedia Metdata Algebra References: data has to be enriched with additional information about the content?s semantic description and functionality, e.g. style sheets for rendering. Current approaches for semantic modeling of multimedia content store the information about the content?s semantics and functionality in different files and at different locations, which makes the retrieval and reuse of multimedia content very difficult. We have proposed Enhanced Multimedia Meta Objects (EMMOs) as a new means for semantic multimedia modeling that indivisibly combines multimedia content with its description and functionality. In this paper, we introduce EMMA, a query algebra, which is adequate and complete with regard to the EMMO model, enables query optimization, allows the integration of ontology knowledge, and supports distributive collaborative authoring. External link: Online copy Extract: Conclusion Conclusion We have developed the query algebra EMMA, which allows to access the media, semantic, and functional aspect, as well as the versioning tree of EMMOs. Moreover, EMMA provides a basis for query optimization and the integration of ontology knowledge. Currently, we are in the process of implementing the query algebra and compiling a comprehensive set of use cases for query evaluation. Future work will focus on the definition and formal proof of the equivalence of operator sequences for variants of queries as an important prerequisite for query optimization. Furthermore, we will develop a language for the definition of ontologies that is compatible with EMMOs, and therefore can be integrated into the query processing. Finally, we plan to carry out a case study in the domain of eLearning to evaluate the feasibility of our approach in a real-world setting. |