Roles of Artificial Intelligence (AI) and data mining in libraries are expanding globally and transforming knowledge management in access, discovery, and research
Artificial Intelligence and Data Mining
Global trends in access, discovery, and research
The roles of artificial
intelligence (AI) and data mining in libraries are expanding globally and
transforming knowledge management in access, discovery, and research.
A session at the International
Federation of Library Associations and Institutions (IFLA) 2019 World Library
and Information Congress in Athens, Greece, on August 26 explored these trends
from four perspectives.
The session was sponsored by the Knowledge Management and
Information Technology sections with the Big Data special interest group. Frank
Cervone, director of information technology for the University of Illinois at
Chicago’s School of Public Health, kicked off the program by asking,
“Is AI real?” AI has been actively embedded in public and
personal spaces, but Cervone cautioned that the visions and realities of AI are
inconsistent and problematic, particularly on ethics and regulations. He
covered important concepts and processes of data and text mining, machine
learning, and how they have affected research and access in many fields.
Cervone concluded by exclaiming what AI is not doing and argued that we need to
be moving with it. “AI is never going to be perfect,” he said.
Philip Schreur, associate librarian for technical and
access services at Stanford University, presented the role of AI in the
discovery of unstructured full text. As opposed to traditional cataloging with
discovery rooted in metadata surrogates captured in the MARC formats or linked
data, AI-based discovery services such as Yewno reach into digital text to
promote discovery via concepts generated from the full texts themselves.
Eero Hammais, communications manager for Finland-based
technology company Headai, presented an app project that uses virtual
information assistants to support book recommendations to visitors at Helsinki
Central Library Oodi, which opened last year. Patrons can download the app with
virtual information assistants to help discover new books either by voice
search, by proximity and location of the books, or by popular uses. The app
does not require login nor does it collect personal data, and it can be operated
in Finnish, Swedish, and English.
Ee Min Hoon, senior librarian at National Library Board
(NLB) in Singapore, compared text mining to treasure hunting and explained how
NLB used text mining and entity extraction from its special collections and
archives to create a knowledge management database. This innovation has
transformed its information services by generating access to its rich
collection of cultural heritage.
Toru Aoike, a researcher from the National Diet Library
of Japan (NDL), introduced NDL’s Digital Collection and Lab that created the
Next Digital Library. This database uses machine-learning technology to access
more than 30,000 industry-related materials. Aoike presented NDL’s strategy in
improving searchability and readability of digital content and spoke about its
efforts to cultivate relationships with library patrons that can lead to new
functions to improve discoveries and search results.
During the Q&A portion, a question was raised about
IFLA’s position on AI, especially regarding ethics. Eva Semertzaki, chair of
the Knowledge Management section, announced that IFLA is working on a statement
that will be released soon.
Source
| https://americanlibrariesmagazine.org/blogs/the-scoop/ifla-wlic-artificial-intelligence-data-mining/
Regards
Mr. Pralhad Jadhav
Master of Library & Information Science (NET
Qualified)
Research Scholar (IGNOU)
Senior Manager @ Knowledge Repository
Khaitan & Co
Twitter Handle | @Pralhad161978
Mobile @
9665911593
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