2021
Towards Tracking Provenance from Machine Learning Notebooks. Dominik Kerzel, Sheeba Samuel, Birgitta König-Ries, 13th International Conference on Knowledge Discovery and Information Retrieval (KDIR), 2021 (To appear)
Towards an Ontology Network for the reproducibility of scientific studies. Sheeba Samuel, Alsayed Algergawy, Birgitta König-Ries, 8th International Workshop on Ontologies and Conceptual Modeling, co-located with FOIS, 2021 (To appear)
Capturing and Semantically Describing Provenance to Tell the Story of R Scripts. Maria Luiza Mondelli, Sheeba Samuel, Birgitta König-Ries, Luiz M. R. Gadelha Jr., ReWords, co-located with 17th IEEE e-Science 2021 (To appear)
ReproduceMeGit: A Visualization Tool for Analyzing Reproducibility of Jupyter Notebooks. Sheeba Samuel, Birgitta König-Ries, ProvenanceWeek 2021 (Link, Bibtex)
Machine Learning Pipelines: Provenance, Reproducibility and FAIR Data Principles. Sheeba Samuel, Frank Löffler, Birgitta König-Ries, ProvenanceWeek 2020 (Link, Bibtex)
Understanding experiments and research practices for reproducibility: an exploratory study Sheeba Samuel, Birgitta König-Ries, PeerJ 9:e11140, 2021(Link, Bibtex)
2020
ReproduceMeGit: A Visualization Tool for Analyzing Reproducibility of Jupyter Notebooks., Sheeba Samuel, Birgitta König-Ries, ProvenanceWeek 2020 (Link, Slides)
Machine Learning Pipelines: Provenance, Reproducibility and FAIR Data Principles., Sheeba Samuel, Frank Löffler, Birgitta König-Ries, ProvenanceWeek 2020 (Link, Slides)
2019
A Provenance-based Semantic Approach to Support Understandability, Reproducibility, and Reuse of Scientific Experiments, Sheeba Samuel, PhD Dissertation, Friedrich Schiller University Jena, Germany (Thesis, PhD Defense Slides)
2018
The Story of an Experiment:A Provenance-based Semantic Approach towards Research Reproducibility, Sheeba Samuel, Kathrin Groeneveld, Frank Taubert, Daniel Walther, Tom Kache, Teresa Langenstück, Birgitta König-Ries, H. Martin Bücker and Christoph Biskup, The 11th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4HCLS 2018), 3-6 December, 2018, antwerp, Belgium (Preprint, Slides, Link)
ProvBook: Provenance-based Semantic Enrichment of Interactive Notebooks for Reproducibility, Sheeba Samuel, Birgitta König-Ries, The 17th International Semantic Web Conference (ISWC) 2018 Demo Track, 8-12 October, 2018, Monterey, California, USA (Demo, Link)
Combining P-Plan and the REPRODUCE-ME Ontology to Achieve Semantic Enrichment of Scientific Experiments using Interactive Notebooks, Sheeba Samuel, Birgitta König-Ries, 15th Extended Semantic Web Conference (ESWC) 2018 Poster Track, 3-7 June, 2018, Heraklion, Crete, Greece (Link)
2017
REPRODUCE-ME: Ontology-based Data Access for Reproducibility of Microscopy Experiments, Sheeba Samuel, Birgitta König-Ries, 14th Extended Semantic Web Conference (ESWC) 2018 Poster Track, 28 May-1 June, 2017, Portoroz, Slovenia (Link)
Integrative Data Management for Reproducibility of Microscopy Experiments, Sheeba Samuel, 14th Extended Semantic Web Conference (ESWC) 2018 PhD Symposium, 28 May-1 June, 2017, Portoroz, Slovenia (Link)
Towards reproducibility of microscopy experiments, Sheeba Samuel, Frank Taubert, Daniel Walther, Birgitta König-Ries, H Martin Bücker, D-Lib Magazine 23.1/2 (2017) (Link)