[InetBib] CfP: CCQ Special Issue: Artificial Intelligence (AI) and Automated Processes for Subject Access

[Kempf Andreas via InetBib <inetbib@xxxxxxxxxx>]

Liebe Kolleginnen und Kollegen,



ich möchte Sie gerne auf einen Call for Papers aufmerksam machen.



With apologies for cross-posting.

The library community has invested in the development of knowledge organization 
systems (KOS, such as subject headings, thesauri, taxonomies, classification, 
etc.) to represent general knowledge or domain-specific knowledge, standardize 
vocabularies with the ultimate goal to describe information resources and 
provide effective access to these resources. These knowledge organization 
systems are of great importance to the subject representation of resource 
content and subject access to information. Current solutions enable shifting 
from the traditionally manual processes to the use of technologies in the 
development of KOS, subject indexing, classification, and retrieval.

This special issue of Cataloging & Classification Quarterly (CCQ) will 
illustrate technologies, methods, and projects that implement semantic web 
technologies, artificial intelligence (AI), machine learning, other automated 
processes, standards and best practices for various stages of knowledge 
information, including KOS development, indexing and classification, and 
retrieval and access, with additional attention to ethical and licensing 
considerations.

Potential topics include (but are not limited to):

·           Artificial Intelligence (AI) in libraries

·           Automated processes for metadata creation

·           Automated processes for quality estimation and quality management

·           Semantic web in knowledge organization

·           Integration of Linked Open Data (LOD) in authorities & knowledge 
organization systems (thesauri, classifications, ontologies)

·           AI/machine learning in knowledge representation, thesaurus 
construction, and classification schema development

·           AI/machine learning in subject indexing and classification

·           Automated subject indexing and classification

·           Technologies, standards, and best practices

·           Ethics of AI in knowledge organization

·           KO open data licensing

Full call: 
https://think.taylorandfrancis.com/cfp_artificial-intelligence-ai-and-automated-processes-for-subject-access/<https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fthink.taylorandfrancis.com%2Fcfp_artificial-intelligence-ai-and-automated-processes-for-subject-access%2F&data=04%7C01%7Casalaba%40kent.edu%7C4d4c92bdf111479c2f7c08d8c7a83fec%7Ce5a06f4a1ec44d018f73e7dd15f26134%7C1%7C0%7C637478872735767799%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=zMK5VrGLg5729x1IrAgcrwq3fKEaEGNagOPwkUv%2BD3M%3D&reserved=0>

Papers should follow the CCQ Instructions for Authors available at: 
https://www.tandfonline.com/action/authorSubmission?show=instructions&journalCode=wccq20

We invite you to submit your paper using ScholarOne Manuscripts 
(https://mc.manuscriptcentral.com/wccq) by April 30, 2021 for peer review.

Deadlines:

·    Paper submission: April 30, 2021

·    Notification of paper acceptance: July 15, 2021

For questions, contact Athena Salaba, 
asalaba@xxxxxxxx<mailto:asalaba@xxxxxxxx>, or Caroline Saccucci, 
csus@xxxxxxx<mailto:csus@xxxxxxx>


--
DR. ANDREAS OSKAR KEMPF
Wissenschaftliche Dienste

ZBW - Leibniz-Informationszentrum Wirtschaft
Neuer Jungfernstieg 21
20354 Hamburg
Germany
T: +49 40 42834-459
F: +49 40 42834-299
E: a.kempf@xxxxxx<mailto:a.kempf@xxxxxx>
ORCID: http://orcid.org/0000-0002-4827-8103
GND-ID: http://d-nb.info/gnd/1027004644
www.zbw.eu<http://www.zbw.eu/>