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KNOWLEDGE GRAPHS
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SCIENCE
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About |
In the last decades, we have experienced a substantial increase in the volume of published scientific articles and related research objects (e.g., data sets, software packages); a trend that is expected to continue. This opens up fundamental challenges including generating large-scale machine-readable representations of scientific knowledge, making scholarly data discoverable and accessible, and designing reliable and comprehensive metrics to assess scientific impact. The main objective of Sci-K is to provide a forum for researchers and practitioners from different disciplines to present, educate from, and guide research related to scientific knowledge. Specifically, we foresee three main themes that cover the most important challenges in the field: representation, discoverability, and assessment. |
Call for Papers |
Sci-K is calling for high-quality submissions around the three main themes of research related to scientific knowledge: representation, discoverability, and assessment. Topics of interest include, but are not limited to:
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Summary |
Sci-K 2021 : 1st International Workshop on Scientific Knowledge Representation, Discovery, and Assessment will take place in Ljubljana, Slovenia. It’s a 5 days event starting on Apr 19, 2021 (Monday) and will be winded up on Apr 23, 2021 (Friday). Sci-K 2021 falls under the following areas: KNOWLEDGE GRAPHS, SCIENCE, etc. Submissions for this Workshop can be made by Jan 25, 2021. Authors can expect the result of submission by Feb 15, 2021. Upon acceptance, authors should submit the final version of the manuscript on or before Mar 01, 2021 to the official website of the Workshop. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the Sci-K 2021
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Credits and Sources |
[1] Sci-K 2021 : 1st International Workshop on Scientific Knowledge Representation, Discovery, and Assessment |