RQL: a declarative query language for RDF
Proceedings of the 11th international conference on World Wide Web
Ontology Learning for the Semantic Web
Ontology Learning for the Semantic Web
RAL: an Algebra for Querying RDF
WISE '02 Proceedings of the 3rd International Conference on Web Information Systems Engineering
An Ontology-Based Method for Querying the Web Data
AINA '03 Proceedings of the 17th International Conference on Advanced Information Networking and Applications
Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce
Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce
QuizRDF: Search Technology for the Semantic Web
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 4 - Volume 4
International Journal of Metadata, Semantics and Ontologies
Large scale ontology tailoring and simulation in the Semantic Grid Environment
International Journal of Metadata, Semantics and Ontologies
Development of a web-based student enquiry system: integration of ontology and case-based reasoning
International Journal of Metadata, Semantics and Ontologies
EMMA – a formal basis for querying enhanced multimedia meta objects
Journal on Data Semantics IV
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To enable efficient authoring, management and access to multimedia content, media data has to be augmented by semantic metadata and functionality. Semantic representation has to be integrated with domain ontologies to fully exploit domain-specific knowledge. This knowledge can be used within the authoring process and for the efficient management of multimedia content. Also, this knowledge can be used for refining ambiguous user queries by closing the conceptual gap between the user and the information to be retrieved. In our previous research, we have introduced Enhanced Multimedia Metaobjects (EMMOs) as a new approach for semantic multimedia meta modelling, as well as the query algebra EMMA, which is adequate and complete with regard to the EMMO model. This paper illustrates how ontological knowledge can be used within the authoring process of EMMOs, integrated into the EMMO knowledge structures and exploited for refining EMMA queries.