The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Data Mining, Linked Data, and Library Service Delivery
|
|
Author(s): Blessing Babawale Amusan (Federal Polytechnic, Ede, Nigeria)and Adepero Olajumoke Odumade (Federal Polytechnic, Ilaro, Nigeria)
Copyright: 2022
Pages: 13
Source title:
Handbook of Research on Emerging Trends and Technologies in Librarianship
Source Author(s)/Editor(s): Innocent Isa Ekoja (Benue State University, Makurdi, Nigeria), Esoswo Francisca Ogbomo (Delta State University, Nigeria)and Omorodion Okuonghae (Samuel Adegboyega University, Ogwa, Nigeria)
DOI: 10.4018/978-1-7998-9094-2.ch005
Purchase
|
Abstract
There is no doubt that data mining and linked data can enhance library service delivery. Data mining aspects such as text and image mining will enable libraries to have access to data that can be used to discover new knowledge aid planning for effective service delivery or service improvement. Also, linked data will enable libraries connect with other libraries to share such data that can enhance job performance leading to enhanced productivity, improved service delivery, and wider visibility and access to library resources.
Related Content
|
Laura Douglass Marion, Casey M. Wooster.
© 2023.
19 pages.
|
|
Christine R. Andrews, Kimberly A. Donovan, Carolyn White Gamtso, C. C. Hendricks, Emily L. Kerr, Kathleen H. Norton, Susanne F. Paterson.
© 2023.
26 pages.
|
|
Gary Marks, Jr., Neil Grimes, Bonnie Lafazan.
© 2023.
22 pages.
|
|
Thura Mack, Kristina Clement, Chloe J. Freeman, Madison Betcher.
© 2023.
18 pages.
|
|
Michael Rodriguez, Nathan Mealey, Charlie Barlow.
© 2023.
16 pages.
|
|
Keith T. Nichols, Bryan J. Sajecki, Cynthia A. Tysick.
© 2023.
23 pages.
|
|
Megan Margino Marchese.
© 2023.
27 pages.
|
|
|