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  4. Dealing efficiently with ontology-enhanced linked data for multimedia
 
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Dealing efficiently with ontology-enhanced linked data for multimedia

Publikationstyp
Conference Paper
Date Issued
2015
Sprache
English
Author(s)
Gries, Oliver  
Möller, Ralf  
Nafissi, Anahita  
Rosenfeld, Maurice  
Sokolski, Kamil  
Wandelt, Sebastian  
Institut
Softwaresysteme E-16  
TORE-URI
http://hdl.handle.net/11420/11424
First published in
CEUR workshop proceedings  
Number in series
1447
Start Page
28
End Page
41
Citation
CEUR Workshop Proceedings 1447 (): 28-41 (2015)
Contribution to Conference
1st Workshop on High-Level Declarative Stream Processing, HiDeSt 2015  
Scopus ID
2-s2.0-84944312536
Publisher
RWTH Aachen
In order to provide automatic ontology-based multimedia annotation for producing linked data, scalable high-level media interpretation processes on (video) streams are required. In this paper we shortly describe an abductive media interpretation agent, and based on a Multimedia Content Ontology we introduce partitioning techniques for huge sets of time-related annotation assertions such that interpretation as well as retrieval processes refer to manageable sets of metadata.
Subjects
Linked data
Multimedia interpretation
Stream processing
DDC Class
004: Informatik
600: Technik
620: Ingenieurwissenschaften
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