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Salatino, Angelo Antonio; Bu, Yi; Ding, Ying; Horvát, Ágnes; Huang, Yong; Liu, Meijun; Manghi, Paolo; Mannocci, Andrea; Osborne, Francesco; Romero, Daniel; Sacharidis, Dimitris; Teplitskiy, Misha; Vergoulis, Thanasis; Xia, Feng and Zhai, Yujia
(2023).
DOI: https://doi.org/10.1145/3543873.3589740
Abstract
The International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment (Sci-K 2023) is now running its third edition. The Sci-K workshop is a venue that brings together researchers and practitioners from different disciplines (including, but not limited to, Digital Libraries, Information Extraction, Machine Learning, Semantic Web, Knowledge Engineering, Natural Language Processing, Scholarly Communication, Science of Science, Scientometrics and Bibliometrics), as well as professionals from the industry, to explore innovative solutions and ideas for the production and consumption of Scientific Knowledge Graphs and assessing the research impact. The workshop has called for high-quality submissions around the three main themes of research, related to scientific knowledge: representation, discovery, and assessment.