The problem of automatically extracting the most interesting and relevant keyword phrases in a document has been studied extensively as it is crucial for a number of applications. ...
Automatic folksonomy construction from tags has attracted much attention recently. However, inferring hierarchical relations between concepts from tags has a drawback in that it i...
In this paper, we propose an autonomous learning scheme to automatically build visual semantic concept models from the output data of Internet search engines without any manual la...
In this technical demonstration we show an integrated web system for video search and annotation based on ontologies. The system is composed by three components: the Orione1 ontol...
Marco Bertini, Gianpaolo D'Amico, Andrea Ferracani...
We present SHIRI-Annot an automatic ontology-driven and unsupervised approach for the semantic annotation of documents which contain well structured parts and not well structured o...