WordNet: a lexical database for English
Communications of the ACM
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning to map between ontologies on the semantic web
Proceedings of the 11th international conference on World Wide Web
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Facilitating the Exchange of Explicit Knowledge through Ontology Mappings
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference
Topic-Sensitive PageRank: A Context-Sensitive Ranking Algorithm for Web Search
IEEE Transactions on Knowledge and Data Engineering
An introduction to variable and feature selection
The Journal of Machine Learning Research
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Automatic multimedia cross-modal correlation discovery
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Symbol Grounding for Semantic Image Interpretation: From Image Data to Semantics
ICCVW '05 Proceedings of the Tenth IEEE International Conference on Computer Vision Workshops
Large-Scale Concept Ontology for Multimedia
IEEE MultiMedia
Image annotation refinement using random walk with restarts
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Fast Random Walk with Restart and Its Applications
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
Ontology Matching
PageRank on semantic networks, with application to word sense disambiguation
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
An empirical study of inter-concept similarities in multimedia ontologies
Proceedings of the 6th ACM international conference on Image and video retrieval
LabelMe: A Database and Web-Based Tool for Image Annotation
International Journal of Computer Vision
Fuzzy spatial relation ontology for image interpretation
Fuzzy Sets and Systems
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Using Fuzzy DLs to Enhance Semantic Image Analysis
SAMT '08 Proceedings of the 3rd International Conference on Semantic and Digital Media Technologies: Semantic Multimedia
FCA-MERGE: bottom-up merging of ontologies
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Integrating visual and semantic contexts for topic network generation and word sense disambiguation
Proceedings of the ACM International Conference on Image and Video Retrieval
Enquiring MPEG-7 based multimedia ontologies
Multimedia Tools and Applications
Extensional Ontology Matching with Variable Selection for Support Vector Machines
CISIS '10 Proceedings of the 2010 International Conference on Complex, Intelligent and Software Intensive Systems
Adding Semantics to Detectors for Video Retrieval
IEEE Transactions on Multimedia
Trends in semantic and digital media technologies
Multimedia Tools and Applications
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Ontologies have been intensively applied for improving multimedia search and retrieval by providing explicit meaning to visual content. Several multimedia ontologies have been recently proposed as knowledge models suitable for narrowing the well known semantic gap and for enabling the semantic interpretation of images. Since these ontologies have been created in different application contexts, establishing links between them, a task known as ontology matching, promises to fully unlock their potential in support of multimedia search and retrieval. This paper proposes and compares empirically two extensional ontology matching techniques applied to an important semantic image retrieval issue: automatically associating common-sense knowledge to multimedia concepts. First, we extend a previously introduced textual concept matching approach to use both textual and visual representation of images. In addition, a novel matching technique based on a multi-modal graph is proposed. We argue that the textual and visual modalities have to be seen as complementary rather than as exclusive sources of extensional information in order to improve the efficiency of the application of an ontology matching approach in the multimedia domain. An experimental evaluation is included in the paper.