DocumentCode :
3644019
Title :
OntoGen extension for exploring image collections
Author :
Nenad Tomašev;Blaž Fortuna;Dunja Mladenić
Author_Institution :
Artificial Intelligence Laboratory, Jož
fYear :
2011
Firstpage :
375
Lastpage :
376
Abstract :
OntoGen is a semi-automatic and data-driven ontology editor focusing on editing of topic ontologies. It utilizes text mining tools to make the ontology-related tasks simpler to the user. This focus on building ontologies from textual data is what we are trying to bridge. We have successfully extended OntoGen to work with image data and allow for ontology construction and editing on collections of labeled or unlabeled images. Browsing large heterogenous image collections efficiently is certainly a challenging task - and we feel that semiautomatic ontology construction, as described in this paper, makes this task easier.
Keywords :
"Ontologies","Feature extraction","Data mining","Visualization","Image color analysis","Data visualization","Multimedia communication"
Publisher :
ieee
Conference_Titel :
Intelligent Computer Communication and Processing (ICCP), 2011 IEEE International Conference on
Print_ISBN :
978-1-4577-1479-5
Type :
conf
DOI :
10.1109/ICCP.2011.6047900
Filename :
6047900
Link To Document :
بازگشت