Abstract
Today's multimedia content formats primarily encode the presentation of content but not the information the content conveys.
However, this presentation-oriented modeling only permits the inflexible, hard-wired presentation of multimedia content. For the realization of advanced operations the multimedia content has to be enriched by additional semantic information. To provide a basis for the semantic modeling of multimedia content in content sharing and collaborative applications, we have developed Enhanced Multimedia Meta Objects (EMMOs). An EMMO constitutes a self-contained piece of multimedia content that indivisibly unites three of the content's aspects. The media aspect reflects that an EMMO aggregates the basic media objects of which the multimedia content consists, the semantic aspect allows the specification of semantic associations between an EMMO's media objects, and, finally, the functional aspect provides means for the definition of arbitrary, domain-specific operations on the content that can be invoked by applications. Furthermore, EMMOs are versionable and tradeable.
To enable the efficient retrieval of EMMOs, we have developed the query algebra EMMA, which is adequate and complete with regard to the EMMO model. By providing simple and orthogonal operators, which can be combined to formulate more complex queries, EMMA enables efficient query optimization. Both, the EMMO model and the EMMA algebra, provide a sound basis for the integration of ontological knowledge. We demonstrate how ontological knowledge can be used within the authoring process of EMMOs, can be integrated within the EMMO knowledge structures, and can be exploited for refining EMMA queries.
However, this presentation-oriented modeling only permits the inflexible, hard-wired presentation of multimedia content. For the realization of advanced operations the multimedia content has to be enriched by additional semantic information. To provide a basis for the semantic modeling of multimedia content in content sharing and collaborative applications, we have developed Enhanced Multimedia Meta Objects (EMMOs). An EMMO constitutes a self-contained piece of multimedia content that indivisibly unites three of the content's aspects. The media aspect reflects that an EMMO aggregates the basic media objects of which the multimedia content consists, the semantic aspect allows the specification of semantic associations between an EMMO's media objects, and, finally, the functional aspect provides means for the definition of arbitrary, domain-specific operations on the content that can be invoked by applications. Furthermore, EMMOs are versionable and tradeable.
To enable the efficient retrieval of EMMOs, we have developed the query algebra EMMA, which is adequate and complete with regard to the EMMO model. By providing simple and orthogonal operators, which can be combined to formulate more complex queries, EMMA enables efficient query optimization. Both, the EMMO model and the EMMA algebra, provide a sound basis for the integration of ontological knowledge. We demonstrate how ontological knowledge can be used within the authoring process of EMMOs, can be integrated within the EMMO knowledge structures, and can be exploited for refining EMMA queries.
Reference
Zillner, S. (2005). A query algebra for ontology-enhanced management of multimedia meta objects [Dissertation, Technische Universität Wien]. reposiTUm. https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-9171