CERMINE: automatic extraction of structured metadata from scientific literature

D Tkaczyk, P Szostek, M Fedoryszak… - International Journal on …, 2015 - Springer
CERMINE is a comprehensive open-source system for extracting structured metadata from
scientific articles in a born-digital form. The system is based on a modular workflow, whose …

An ontological framework for information extraction from diverse scientific sources

G Zaman, H Mahdin, K Hussain, J Abawajy… - IEEE …, 2021 - ieeexplore.ieee.org
Automatic information extraction from online published scientific documents is useful in
various applications such as tagging, web indexing and search engine optimization. As a …

Evaluation of semi-automatic metadata generation tools: A survey of the current state of the art

J Park, A Brenza - Information technology and libraries, 2015 - ejournals.bc.edu
Assessment of the current landscape of semi-automatic metadata generation tools is
particularly important considering the rapid development of digital repositories and the …

Research on automatic classification of documents in library environment: a literature review

SK Desale, RM Kumbhar - KO KNOWLEDGE ORGANIZATION, 2014 - nomos-elibrary.de
This paper aims to provide an overview of automatic classification research, which focuses
on issues related to the automatic classification of documents in a library environment. The …