Book Chapter: “Linked Open Data in Libraries”
The following book chapter “Linked Open Data in Libraries” appears in K. J. Varnum (Ed.), New top technologies every librarian needs to know (pp. 3-15). Chicago: ALA Neal-Schuman.
The open access version (linked below) was shared by the author on the Atlanta University Center (AUC) Robert W. Woodruff Library digital repository.
Book Chapter Title
Linked Open Data in Libraries
Atlanta University Center (AUC) Robert W. Woodruff Library
via AUC Robert W. Woodruff Library Digital Repository
Linked open data is transforming the way that libraries and archives connect to each other and to the wider information ecosystem. This set of technologies and standards allows for factual statements (like metadata) to be linked together in both human- and machine-readable format, opening new doors for semantic searching, concept disambiguation, content reuse, and building relationships among and between data sets. But like all new technologies, linked data will come with its own challenges and problems and will amplify older problems that librarians have always dealt with (e.g., verifiability, contextualization, interpretation, and politicization of information). However, even with these problems, linked data will reshape the landscape of information seeking and retrieval. Thankfully, librarians and archivists are hard at work staying abreast of this change and approaching these challenges head-on.
Direct to Full Text Chapter (18 pages; PDF)
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.