Next week I'll be at the FDO Conference in Vienna (March 24–27) with two contributions:
🎓 Tuesday: Nanopublications tutorial on the pre-conference training day — a hands-on introduction to nanopublication-based FAIR Digital Objects
🎤 Thursday: "Aligning and globally indexing diverse FDOs with nanopublications" — how nanopublications can serve as a bridge to connect and index different FDO implementations
If you're attending and interested in how structured, machine-readable knowledge sharing works in practice, come join us!
https://fairdo.org/fdo-conference-2026/ · 2026-03-20 · https://w3id.org/np/RAhSpeRqiH... ^| paper | journal | publication date |
|---|---|---|
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2025
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2024-12-05
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2024-09-11
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2024-05-27
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2024
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2023-12-05
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2023-12-05
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2023-08-09
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2023-02-21
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2022-10-12
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| coauthor | paper count |
|---|---|
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15
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Kaarel Kaljurand
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7
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6
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5
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5
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5
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5
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4
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4
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Norbert E. Fuchs
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4
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| presentation | date | event | np |
|---|---|---|---|
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2026-03-26
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2026-03-24
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2024-05-20
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2024-02-28
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2017-05-01
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2017-04-04
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2016-11-01
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2016-07-13
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2015-06-17
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2014-06-11
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| collection | date | np |
|---|---|---|
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2025-12-17T15:58:12.958Z
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| paper | comment | np | date |
|---|---|---|---|
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Algorithm for generating scale-free networks. Power law distribution. Preferential attachment.
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2026-02-23T19:39:27.380Z
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Studying learning and behavior based on animal experiments.
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2026-02-23T19:38:05.656Z
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Critical points, e.g. temperature when magnet stops working, are badly understood with microscopic models. Scaling laws (?). Universality classes of systems with the same "critical-point exponents and scaling functions". Renormalization (?).
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2026-02-23T19:36:31.915Z
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| liked resource | comment | np |
|---|---|---|
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The README file of Nanodash.
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SHACL is great for validating RDF.
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