A PATTERN SYSTEM FOR DESCRIBING THE SEMANTICS OF STRUCTURED MULTIMEDIA DOCUMENTS

SCHERP, ANSGAR, SAATHOFF, CARSTEN and SCHEGLMANN, STEFAN (2012) A PATTERN SYSTEM FOR DESCRIBING THE SEMANTICS OF STRUCTURED MULTIMEDIA DOCUMENTS International Journal of Semantic Computing, 06 (03). pp. 263-288. DOI 10.1142/S1793351X12400089.

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Abstract

Today's metadata models and metadata standards often focus on a specific media type only, lack combinability with other metadata models, or are limited with respect to the features they support. Thus they are not sufficient to describe the semantics of rich, structured multimedia documents. To overcome these limitations, we have developed a comprehensive model for representing multimedia metadata, the Multimedia Metadata Ontology (M3O). The M3O has been developed by an extensive analysis of related work and abstracts from the features of existing metadata models and metadata standards. It is based on the foundational ontology DOLCE+DnS Ultralight and makes use of ontology design patterns. The M3O serves as generic modeling framework for integrating the existing metadata models and metadata standards rather than replacing them. As such, the M3O can be used internally as semantic data model within complex multimedia applications such as authoring tools or multimedia management systems. To make use of the M3O in concrete multimedia applications, a generic application programming interface (API) has been implemented based on a sophisticated persistence layer that provides explicit support for ontology design patterns. To demonstrate applicability of the M3O API, we have integrated and applied it with our SemanticMM4U framework for the multi-channel generation of semantically annotated multimedia documents.

Read More: http://www.worldscientific.com/doi/abs/10.1142/S1793351X12400089

Document Type: Article
Research affiliation: OceanRep > The Future Ocean - Cluster of Excellence
Refereed: Yes
DOI etc.: 10.1142/S1793351X12400089
ISSN: 1793-351X
Projects: Future Ocean
Date Deposited: 08 Jun 2017 11:57
Last Modified: 08 Jun 2017 11:57
URI: http://eprints.uni-kiel.de/id/eprint/38259

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