This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Info literacy has largely become the preserve of the library community , with a focus on teaching scholars and citizens to navigate and to differentiate the information that confronts us. Should it exclude responsibly destroying or deleting redundant, obsolete, and trivial (ROT) info? Sound familiar? I don’t think so.
Ella Hitchcock is completing her Masters in Library and Information Sciences + Masters of Art from the University of Alberta. When she’s not furthering digitization efforts, she’s embroidering, playing a lot of Tetris, and data mining web archives that involve fan activity.
For example, organizations can re-package video libraries, songs, research, and course material for different audiences – customers, researchers, academics, students, and so on; and they can monetize the content via CaaS. A CSP exploits diverse content types and serves multiple constituencies and numerous use cases across an organization.”
Auto-classification can leverage AI using RPA and ML / MT to analyze the digital content and categorize it, including redundant, obsolete, and temporary (ROT) [4] content. Much of the content will never be accessed, yet the cost to manage ROT content will continue to increase. Figure 1: Auto-classification and AI.
We organize all of the trending information in your field so you don't have to. Join 55,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content