An information-theoretic approach to automatic query expansion
ACM Transactions on Information Systems (TOIS)
Exploratory search: from finding to understanding
Communications of the ACM - Supporting exploratory search
mSpace: improving information access to multimedia domains with multimodal exploratory search
Communications of the ACM - Supporting exploratory search
Linked data on the web (LDOW2008)
Proceedings of the 17th international conference on World Wide Web
Supporting video library exploratory search: when storyboards are not enough
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Sindice.com: a document-oriented lookup index for open linked data
International Journal of Metadata, Semantics and Ontologies
Towards Exploratory Video Search Using Linked Data
ISM '09 Proceedings of the 2009 11th IEEE International Symposium on Multimedia
Segmentation and annotation of audiovisual recordings based on automated speech recognition
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Sindice.com: weaving the open linked data
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Semantically enabled exploratory video search
Proceedings of the 3rd International Semantic Search Workshop
Entity reference resolution via spreading activation on RDF-Graphs
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part I
Enriching media fragments with named entities for video classification
Proceedings of the 22nd international conference on World Wide Web companion
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The phenomenal increase of online video content confronts the consuming user with an immeasurable amount of data which can only be accessed with sophisticated multimedia search and management technologies. Usual video search engines provide a keyword-based search, where lexical ambiguity of natural language often leads to imprecise and incomplete results. Semantics of keywords and metadata has to be determined to overcome these shortcomings to provide high precision and high recall. In this work, we show how to gradually transform the video search engine Yovisto from a simple keyword-based search engine to a fullyfledged semantic video search engine simply by using the existing search engine infrastructure based on Lucene augmented by simple semantic metadata.