| Title: |
Machine Annotation Service Hackathon |
| Authors: |
Rajendran, Rajapreethi; Weiland, Claus; Grieb, Jonas; Bauer, Daniel; Addink, Wouter; Theocharides, Soulaine |
| Publisher Information: |
DiSSCo Transition Project |
| Publication Year: |
2025 |
| Collection: |
Zenodo |
| Subject Terms: |
DiSSCo; Machine Annotation Service; Biohackathon; Machine learning; Large language models (LLM); ontoGPT |
| Description: |
The first Machine Annotation Service (MAS) Hackathon organised by Work Package 3 (WP3), took place at the Senckenberg Research Institute in Frankfurt from March 24th to March 26th, 2025. The event was conducted in a hybrid format allowing both online and in-person participation, and the hackathon was open to all DiSSCo stakeholders. A total of 15 participants from 10 different organisations took part in the hackathon. The event began with an introduction to the concept of Machine Annotation Services and a walkthrough on how to develop them within the DiSSCo infrastructure. Additionally, discussions were held around the MAS policy framework and the general structure of a Service Level Agreement (SLA) for MAS deployments. Following the introductory sessions, participants formed three groups each focusing on a distinct use case. By the end of the hackathon, all three use cases were successfully implemented and deployed as Machine Annotation Services within the DiSSCo infrastructure. DiSSCo Transition Project is funded by the European Union, under grant number 101130121. Views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency. Neither the European Union nor the granting authority can be held responsible for them. |
| Document Type: |
report |
| Language: |
unknown |
| Relation: |
https://zenodo.org/communities/dissco/; https://zenodo.org/communities/eu/; https://zenodo.org/records/15639089; oai:zenodo.org:15639089; https://doi.org/10.5281/zenodo.15639089 |
| DOI: |
10.5281/zenodo.15639089 |
| Availability: |
https://doi.org/10.5281/zenodo.15639089; https://zenodo.org/records/15639089 |
| Rights: |
Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode |
| Accession Number: |
edsbas.5A104418 |
| Database: |
BASE |