OntoGen Extension for Exploring Image Collections

Year: 
2011
Publication Date: 
Thursday, 25 August, 2011
Published in: 
7th IEEE International Conference on Intelligent Computer Communication and Processing (ICCP 2011)
Authors: 
Nenad Tomasev, Blaz Fortuna, Dunja Mladenic ́

This paper was published in the Proceedings of the 2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing (ICCP 2011), August 25 - 27, 2011 in Cluj-Napoca, Romania.

Abstract: 

OntoGen is a semi-automatic and data-driven ontol- ogy 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.

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