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Automatic Discovery and Resolution of Protein Abbreviations from Full-Text Scientific Papers: A Light-Weight Approach Towards Data Extraction from Unstructured Biological Sources (Extended Abstract)., , and . SEBD, page 318-325. (2011)On the Road to Speed-Reading and Fast Learning with CONCEPTUM., and . INCoS, page 357-361. IEEE, (2016)LIBRA-WA: a web application for ligand binding site detection and protein function recognition., , , , and . Bioinformatics, 34 (5): 878-880 (2018)NETHIC: A System for Automatic Text Classification using Neural Networks and Hierarchical Taxonomies., , , , , and . ICEIS (1), page 296-306. SciTePress, (2019)ARISTOTELE: A Semantic-Driven Platform for Enterprise Management., , , , and . AINA Workshops, page 44-49. IEEE Computer Society, (2013)A Knowledge Discovery Methodology for Semantic Categorization of Unstructured Textual Sources., , and . SITIS, page 944-951. IEEE Computer Society, (2012)A Visual Ontology Management System for Handling, Integrating and Enriching Semantic Repositories., and . INCoS, page 450-453. IEEE, (2015)LIBRA: LIgand Binding site Recognition Application., , , , and . Bioinformatics, 31 (24): 4020-4022 (2015)Protein-ligand binding site detection as an alternative route to molecular docking and drug repurposing., , and . Bio-Algorithms and Med-Systems, (2018)A framework for semi-automatic identification, disambiguation and storage of protein-related abbreviations in scientific literature., , and . ICDE Workshops, page 59-61. IEEE Computer Society, (2011)