Savvas Paragkamian

TL;DR: In this paper, the authors present a Tier 2 (regional) HPC facility, operating for over a decade at the Institute of Marine Biology, Biotechnology, and Aquaculture of the Hellenic Centre for Marine Research in Greece.

TL;DR: In this paper, a textural co-occurrence analysis was applied to published scientific literature to assess current and future dominant trends, directions and priorities in beach litter assessment, and three approaches were proposed to overcome the research limits highlighted: the unequivocation of terms, the consideration of adequate scales, and the attention to dynamics rather than just patterns.

TL;DR: The PREGO knowledge base as mentioned in this paper combines text mining and data integration techniques to mine such what-where-who associations from data and metadata scattered in the scientific literature and in public omics repositories.

TL;DR: OnTheFly2.0 as discussed by the authors is a web application for extracting biomedical entities from individual files such as plain texts, office documents, PDF files or images, and it uses the EXTRACT tagging service to perform named entity recognition (NER) for genes/proteins, chemical compounds, organisms, tissues, environments, diseases, phenotypes and gene ontology terms.

TL;DR: Pavlopoulos et al. as discussed by the authors presented OnTheFly2.0, a web application for extracting biomedical entities from individual files such as plain texts, Office documents, PDF files or images.