Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Preference formulas in relational queries
ACM Transactions on Database Systems (TODS)
A hybrid approach for searching in the semantic web
Proceedings of the 13th international conference on World Wide Web
SemRank: ranking complex relationship search results on the semantic web
WWW '05 Proceedings of the 14th international conference on World Wide Web
Ranking Complex Relationships on the Semantic Web
IEEE Internet Computing
A Multi-criteria Service Ranking Approach Based on Non-Functional Properties Rules Evaluation
ICSOC '07 Proceedings of the 5th international conference on Service-Oriented Computing
Utilizing Web2.0 in Web Service Ranking
ICDS '09 Proceedings of the 2009 Third International Conference on Digital Society
Statement-Based Semantic Annotation of Media Resources
SAMT '09 Proceedings of the 4th International Conference on Semantic and Digital Media Technologies: Semantic Multimedia
Querying the semantic web with preferences
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
A method for determining ontology-based semantic relevance
DEXA'07 Proceedings of the 18th international conference on Database and Expert Systems Applications
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Ranking of resources is relevant in information retrieval systems to present optimally targeted results to initially issued queries. Traditional ranking approaches from the field of information retrieval are not always appropriate to be implemented in search engines based on semantics. Thus this paper proposes a customized ranking approach for multimedia resources based on semantic annotations which is based on the vector space model. An initial version of the ranking algorithm is evaluated and refinements are proposed which are again evaluated in an end user experiment.