Abstract
Libraries have the virtue of managing vast amounts of information. Data Science and Analytics techniques and methodologies allow libraries to fully exploit the content they hold with the goal of providing better information to their users: better search, recommendations, etc.
Highlights
Libraries have the virtue of managing vast amounts of information
This document was prepared as part of the Deliverables of Cluster I of e-Infrastructures Austria, a nationwide project regarding the design and management of digital infrastructures for research data
Is where Data Science comes to the rescue
Summary
Data Science is a discipline that combines data with programming languages, algorithms, statistics, machine learning, artificial intelligence, reporting, and data visualization, all to make sense out of data. Data Science is a very important part of Cognitive Computing that enables Artificial Intelligence. The data stored in such libraries are very diverse. The challenge for libraries is to digitize all their content (digital objects), and to classify, organize, link and publish all digital objects. Most content (digital objects) has been organized and classified manually. Manual processes are not sustainable, certainly not when you have to process millions of digital objects in a short period of time and with high accuracy. Is where Data Science comes to the rescue
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