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From Tag to Concept

Semantic Web technologies help machines 'understand' and easily share more information on the Web. It provides promising approaches which enable us to categorize and annotate multimedia objects. Although Semantic Web comes with nice technologies and useful tools for structuring and annotating information, it can be difficult to the average user. Tags, on the other hand, are a simple form of annotation and are used easily to categorize objects. This research examines the possibility to combine tagging and existing ontologies in such a way that the simplicity of tagging is preserved and the expressiveness of ontologies is obtained. Mapping tags to concepts will allow us to exploit the semantics of ontologies. The main goal of this project is to find highquality relations between tags and concepts in Semantic Web ontologies. For this purpose the TagConceptualizer is designed. This framework extends tag information with concept or tag suggestions that are used by other applications. The TagConceptualizer is tested with the GTAA ontology as an information source. The results show that the designed framework produces good tag suggestions. This implies that high-quality relations between tags and concepts are made.