Classification in information science refers to the process of organizing and categorizing information or data into meaningful groups or classes based on their shared characteristics or attributes. It is an essential task in various fields such as library science, information retrieval, data mining, and machine learning. The University of Wisconsin in Madison brought this interesting news to our attention in their article, “New major in information science draws wide array of students with human-centered approach.”

Information science is a new major by the School of Computer, Data, & Information Sciences and is designed to appeal to a wide array of undergraduates. This new major is increasing access to the technology curriculum and preparing a talent pipeline that will drive economic growth in the region and beyond. They want to reach a diverse set of students, including those who may not have considered a path from social science and the humanities to computing.

Overall, classification in information science plays a crucial role in organizing and managing large volumes of information, in enabling efficient access, retrieval, and analysis, and ultimately in helping users make sense of complex datasets.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, changing search to found.