Using metadata for the intelligent browsing of structured media objects
ACM SIGMOD Record
Emergent Semantics through Interaction in Image Databases
IEEE Transactions on Knowledge and Data Engineering
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Collective Learning and Semiotic Dynamics
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The VLDB Journal — The International Journal on Very Large Data Bases
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IEEE Intelligent Systems
Interoperability through emergent semantics a semiotic dynamics approach
Journal on Data Semantics VI
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IEEE Transactions on Circuits and Systems for Video Technology
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IEICE - Transactions on Information and Systems
Computers in Human Behavior
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Assisting pictogram selection with semantic interpretation
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
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SocInfo'12 Proceedings of the 4th international conference on Social Informatics
Discovering meaning on the go in large heterogenous data
Artificial Intelligence Review
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We propose an approach that unifies browsing by tags and visual features for intuitive exploration of image databases. In contrast to traditional image retrieval approaches, we utilise tags provided by users on collaborative tagging sites, complemented by simple image analysis and classification. This allows us to find new relations between data elements. We introduce the concept of a navigation map, that describes links between users, tags, and data elements for the example of the collaborative tagging site Flickr. We show that introducing similarity search based on image features yields additional links on this map. These theoretical considerations are supported by examples provided by our system, using data and tags from real Flickr users.