Ontology-based systems have been developed to structure content and support knowledge retrieval and management. Semantic multimedia data processing and indexing in ontology- based systems is usually done in several steps, one starts by enriching multimedia metadata with additional semantic information (possibly obtained by methods for bridging the semantic gap). Then, in order to structure data, a localized and domain specific ontology becomes necessary since the data has to be interpreted domain-specific. The annotations are stored in an ontology management system where they are kept for further processing. In this scope, Semantic Database Technologies are now applied to ensure reliable and secure access, efficient search, and effective storage and distribution for both multimedia metadata and data. Their services can be used to adapt multimedia to a given context based on multimedia metadata or even ontology information. Services automate cumbersome multimedia processing steps and enable ubiquitous intelligent adaptation. Both, database and automation support facilitate to ubiquitous use of multimedia in advanced applications.
We are searching for research contributions on the mapping and integration of multimedia metadata and ontologies into databases, on multimedia query languages, on the optimization and processing of semantic queries. Moreover, we are interested how multimedia data services are conceived to ensure interoperability, how to improve security and reliability of access and storage of multimedia data and metadata.
In addition, application papers showing concrete semantic multimedia database services (like, adaptation of multimedia, semantic enrichment of multimedia, and bridging of media breaks), as well as demonstrations on database technologies (like, mobile online image analysis and retrieval) are expected.
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