PicNet: Augmenting Semantic Resources with Pictorial Representations

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In this paper, the authors introduce PicNet, a Web-based system for augmenting semantic resources with illustrative images using volunteer contributions over the Web.

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7 p.

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Borman, Andy; Mihalcea, Rada, 1974- & Tarau, Paul March 2005.

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This paper is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Engineering to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 116 times . More information about this paper can be viewed below.

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In this paper, the authors introduce PicNet, a Web-based system for augmenting semantic resources with illustrative images using volunteer contributions over the Web.

Physical Description

7 p.

Notes

Copyright 2005 American Association for Artificial Intelligence (AAAI). All rights reserved. http://aaai.org

Abstract: In this paper, the authors introduce PicNet, a Web-based system for augmenting semantic resources with illustrative images using volunteer contributions over the Web. PicNet seeks to build rich knowledge-bases that encode word/image associations, to the end of combining the advantages and power of both visual and linguistic representations as means of defining world concepts. In this paper, the authors address some of the issues encountered in identifying prototypical illustrations for various concepts, as well as issues related to the construction of such pictorial knowledge-bases with the help of Web users.

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  • American Association for Artificial Intelligence (AAAI) Spring Symposium on Knowledge Collection from Volunteer Contributors, 2005, Stanford, California, United States

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UNT Scholarly Works

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  • March 2005

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  • Jan. 31, 2011, 2:01 p.m.

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  • April 28, 2014, 2:03 p.m.

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Borman, Andy; Mihalcea, Rada, 1974- & Tarau, Paul. PicNet: Augmenting Semantic Resources with Pictorial Representations, paper, March 2005; (digital.library.unt.edu/ark:/67531/metadc30972/: accessed August 17, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Engineering.