In the face of the ever-increasing document volume, libraries around the globe are more and
more exploring (semi-) automated approaches to subject indexing. This helps sustain …

This new and updated second edition of a classic text provides a thought provoking
introduction to metadata for all library and information students and professionals. Metadata …

Machine Learning classification models learn the relation between input as features and
output as a class in order to predict the class for the new given input. Several research works …

Manually indexing documents for subject-based access is a labour-intensive process that
can be automated using AI technology. Algorithms for text classification must be trained and …

To what extent do MeSH terms improve search effectiveness for different kinds of users? We
observed four different kinds of information seekers using an experimental information …

Purpose In order to estimate the value of semi-automated subject indexing in operative
library catalogues, the study aimed to investigate five different automated implementations of …

Background Subject searching is a common type of searching in library catalogs (Hunter,
1991; Villén-Rueda et al., 2003) and discovery services (Meadow & Meadow, 2012) …

Automatic subject indexing addresses problems of scale and sustainability and can be at the
same time used to enrich existing metadata records, establish more connections across and …

Postprint Page 1 http://www.diva-portal.org Postprint This is the accepted version of a paper
presented at 18th European Networked Knowledge Organization Systems Workshop (NKOS …

Indexing is contextualized and a brief description is provided of some of the most used
automatic indexing systems. We describe SISA, a system which uses location heuristics …