Title
Enabling context-aware multimedia annotation by a novel generic semantic problem-solving platform
Abstract
Automatic generation of metadata, facilitating the retrieval of multimedia items, potentially saves large amounts of manual work. However, the high specialization degree of feature extraction algorithms makes them unaware of the context they operate in, which contains valuable and often necessary information. In this paper, we show how Semantic Web technologies can provide a context that algorithms can interact with. We propose a generic problem-solving platform that uses Web services and various knowledge sources to find solutions to complex requests. The platform employs a reasoner-based composition algorithm, generating an execution plan that combines several algorithms as services. It then supervises the execution of this plan, intervening in case of errors or unexpected behavior. We illustrate our approach by a use case in which we annotate the names of people depicted in a photograph.
Year
DOI
Venue
2012
10.1007/s11042-010-0709-6
Multimedia Tools and Applications
Keywords
Field
DocType
Annotation,Metadata generation,Semantic Web,Service composition,Web services
Semantic reasoner,Information retrieval,Semantic Web Stack,Computer science,Web standards,Semantic Web,Image retrieval,Web modeling,Social Semantic Web,Web service
Journal
Volume
Issue
ISSN
61
1
1380-7501
Citations 
PageRank 
References 
15
0.93
20
Authors
5
Name
Order
Citations
PageRank
Ruben Verborgh1630105.49
Davy Van Deursen222528.22
Erik Mannens367199.58
Chris Poppe4979.90
Rik Van de Walle52040238.28