Defining and building Ontologies within the multimedia domain still remain a challenging task, due to the complexity of multimedia data and the related associated knowledge. In this paper, we investigate automatic construction of ontologies using the Flickr image databases, that contains images, tags, keywords and sometimes useful annotation describing both the content of an image and personal interesting information describing the scene. We then describe an example of automatic ontology construction in a specific semantic domain.

Building Ontologies from Annotated Image Databases / Chianese, Angelo; Moscato, Vincenzo; A., Penta; Picariello, Antonio. - ELETTRONICO. - (2009), pp. 41-51. (Intervento presentato al convegno International Conference on Enterprise Information Systems (ICEIS09) - 1st International Workshop on Ontology for e-Technologies (OET 2009) tenutosi a Milan, Italy nel May 6-10, 2009).

Building Ontologies from Annotated Image Databases

CHIANESE, ANGELO;MOSCATO, VINCENZO;PICARIELLO, ANTONIO
2009

Abstract

Defining and building Ontologies within the multimedia domain still remain a challenging task, due to the complexity of multimedia data and the related associated knowledge. In this paper, we investigate automatic construction of ontologies using the Flickr image databases, that contains images, tags, keywords and sometimes useful annotation describing both the content of an image and personal interesting information describing the scene. We then describe an example of automatic ontology construction in a specific semantic domain.
2009
978-989811196-8
Building Ontologies from Annotated Image Databases / Chianese, Angelo; Moscato, Vincenzo; A., Penta; Picariello, Antonio. - ELETTRONICO. - (2009), pp. 41-51. (Intervento presentato al convegno International Conference on Enterprise Information Systems (ICEIS09) - 1st International Workshop on Ontology for e-Technologies (OET 2009) tenutosi a Milan, Italy nel May 6-10, 2009).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/519371
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