A New Preprint from Information Technology and Libraries: "Graphs in Libraries: A Primer"
“Graphs in Libraries: A Primer”
by James E. Powell, Daniel Alcazar, Matthew Hopkins, Robert Olendorf, Tamara M. McMahon, Amber Wu, Linn Collins
From the Abstract:
Whenever librarians use Semantic Web services and standards for representing data, they also generate graphs, whether they intend to or not. Graphs are a new data model for libraries and librarians, and present new opportunities for library services. In this paper, we introduce graph theory and explore its real and potential applications in the context of digital libraries. Part I describes basic concepts in graph theory and how graph theory has been applied by information retrieval systems such as Google. Part II discusses practical applications of graph theory in digital library environments. Some of the applications have been prototyped at the Los Alamos National Laboratory Research Library, others have been described in peer-reviewed journals, and still others are speculative in nature. Overall, the paper is intended to serve as a high-level tutorial to graphs in libraries.
The preprint was posted on the Information Technology and Libraries web site.
ITAL is published by the Library Information and Technology Association (LITA)
Direct to Full Text (33 pages; PDF)
Filed under: Academic Libraries, Data Files, Digital Collections, Interactive Tools, Journal Articles, Libraries, Resources
About Gary Price
Gary Price (email@example.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.