In this paper, the authors introduce PicNet, a Web-based system for augmenting semantic resources with illustrative images using volunteer contributions over the Web.
The UNT College of Engineering strives to educate and train engineers and technologists who have the vision to recognize and solve the problems of society. The college comprises six degree-granting departments of instruction and research.
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.
American Association for Artificial Intelligence (AAAI) Spring Symposium on Knowledge Collection from Volunteer Contributors, March 21-23, 2005. Stanford, CA, United States
This paper is part of the following collection of related materials.
UNT Scholarly Works
Materials from the UNT community's research, creative, and scholarly activities and UNT's Open Access Repository. Access to some items in this collection may be restricted.
Borman, Andy; Mihalcea, Rada, 1974- & Tarau, Paul.PicNet: Augmenting Semantic Resources with Pictorial Representations,
paper,
March 2005;
(https://digital.library.unt.edu/ark:/67531/metadc30972/:
accessed December 4, 2024),
University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu;
crediting UNT College of Engineering.
