Conceptual Spaces: The Geometry of Thought
Conceptual Spaces: The Geometry of Thought
Sweetening Ontologies with DOLCE
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
IRIS: A Framework for Mediator-Based Composition of Service-Oriented Software
ICWS '04 Proceedings of the IEEE International Conference on Web Services
Web services selection for distributed composition of multimedia content
Proceedings of the 12th annual ACM international conference on Multimedia
Interoperable Adaptive Multimedia Communication
IEEE MultiMedia
Ontology-Based Semantic Indexing for MPEG-7 and TV-Anytime Audiovisual Content
Multimedia Tools and Applications
Multimedia Annotations on the Semantic Web
IEEE MultiMedia
COMM: designing a well-founded multimedia ontology for the web
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Conceptual situation spaces for semantic situation-driven processes
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Enabling multimedia metadata interoperability by defining formal semantics of MPEG-7 profiles
SAMT'06 Proceedings of the First international conference on Semantic and Digital Media Technologies
IRS-III: a broker for semantic web services based applications
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Enhancing the semantic interoperability of multimedia through a core ontology
IEEE Transactions on Circuits and Systems for Video Technology
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The increasing availability of multimedia (MM) resources, Web services as well as content, on the Web raises the need to automatically discover and process resources out of distributed repositories. However, the heterogeneity of applied metadata schemas and vocabularies --- ranging from XML-based schemas such as MPEG-7 to formal knowledge representation approaches --- raises interoperability problems. To enable MM metadata interoperability by means of automated similarity-computation, we propose a hybrid representation approach which combines symbolic MM metadata representations with a grounding in so-called Conceptual Spaces (CS). In that, we enable automatic computation of similarities across distinct metadata vocabularies and schemas in terms of spatial distances in shared CS. Moreover, such a vector-based approach is particularly well suited to represent MM metadata, given that a majority of MM parameters is provided in terms of quantified metrics. To prove the feasibility of our approach, we provide a prototypical implementation facilitating similarity-based discovery of publicly available MM services, aiming at federated MM content retrieval out of heterogeneous repositories.