Library Software Receives National Award
Library Program Receives Major Computer Science Award
iVia, which powers INFOMINE, received a national award for its ability
to evaluate information for Internet search tools.
(June 19, 2005)
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The award is considered a notable achievement, especially because it was selected from over 270 submissions for the conference.
The paper is titled Developing Practical Automatic Metadata Assignment and Evaluation Tools for Internet Resources, and is available at the Web site of the proceedings of the conference.
The paper describes the work of the UCR Libraries toward research and development of iVia open-source software, which has been funded primarily by the U.S. Institute for Museum and Library Services, through its National Leadership grant program for libraries, with additional support from the National Science Digital Library of the National Science Foundation (NSF). IVia, a free software, represents new advances in how computers learn, known as machine learning. It has also advanced web crawling, automatic indexing, and free data in portal management. iVia is the platform for INFOMINE, a scholarly virtual library collection of over 100,000 librarian/expert created and 100,000 machine-created records describing and linking to academic Internet resources. The National Science Digital Library makes use of its automatic indexing, among other core components.
The conference award represents the library and computer science communities’ major national recognition of the work of the iVia team at the UCR Libraries and, more generally, of the importance of work in the area of machine learning as applied to library applications.
According to Ruth M. Jackson, University Librarian at UCR and Stephen Mitchell, INFOMINE/iVia project director, this award also validates the national recognition of the important role that the iVia software and UCR are playing in advancing machine learning, and in making visible and organizing significant scholarly resources on the web.
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