Towards Tracking Provenance from Machine Learning Notebooks
Dominik Kerzel, Sheeba Samuel, Birgitta König-Ries13th International Conference on Knowledge Discovery and Information Retrieval (KDIR), 2021-10-25
ISTMINER: Interactive Spatiotemporal Co-occurrence Pattern Extraction: A Biodiversity case study
Dina Sharafeldeen, Mohamed Bakli, Alsayed Algergawy and Birgitta König-RiesComputer Science for Biodiversity (CS4BioDiversity) Workshop at INFORMATIK2021, 2021-09-27
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, 2021-09-27
A Data-driven Approach for Core Biodiversity Ontology Development.
Nora Abdelmageed, Alsayed Algergawy, Sheeba Samuel, Birgitta König-RiesThird International Workshop on Semantics for Biodiversity, co-located with ICBO, 2021, 2021-09-15
Towards an Ontology Network for the reproducibility of scientific studies
Sheeba Samuel, Alsayed Algergawy, Birgitta König-RiesJOWO Workshops 2021, 2021-09-13
ReproduceMeGit: A Visualization Tool for Analyzing Reproducibility of Jupyter Notebooks
Sheeba Samuel and Birgitta König-RiesProvenance Week 2021, Provenance and Annotation of Data and Processes - 8th and 9th International Provenance and Annotation Workshop, IPAW 2020 + IPAW 2021, Virtual Event, July 19-22, 2021, 2021-07-19
Machine Learning Pipelines: Provenance, Reproducibility and FAIR Data Principles.
Sheeba Samuel, Frank Löffler, Birgitta König-RieProvenance Week 2021, Provenance and Annotation of Data and Processes - 8th and 9th International Provenance and Annotation Workshop, IPAW 2020 + IPAW 2021, Virtual Event, July 19-22, 2021, 2021-07-19
Comprehensive leaf size traits dataset for seven plant species from digitised herbarium specimen images covering more than two centuries
Vamsi Krishna Kommineni, Susanne Tautenhahn, Pramod Baddam, Jitendra Gaikwad, Barbara Wieczorek, Abdelaziz Triki, Jens KattgeBiodiversity Data Journal , 2021-07-13
Towards Scientific Data Synthesis Using Deep Learning and Semantic Web
Alsayed Algergawy, Hamdi Hamed, Birgitta Koenig-RiesThe Semantic Web: ESWC 2021 Satellite Events: poster and demo, 2021-06-04
BiodivOnto: Towards a Core Ontology for Biodiversity
Nora Abdelmageed, Alsayed Algergawy, Sheeba Samuel and Birgitta Koenig-RiesThe Semantic Web: ESWC 2021 Satellite Events: poster and demo, 2021-06-04
A Test Collection for Dataset Retrieval in Biodiversity Research
Felicitas Löffler, Andreas Schuldt, Birgitta König-Ries, Helge Bruelheide, Friederike KlanRIO - Research Ideas and Outcomes, 2021-05-26
Understanding experiments and research practices for reproducibility: an exploratory study
Sheeba Samuel, Birgitta König-RiesPeerJ, 2021-04-21
Building high-quality merged ontologies from multiple sources with requirements customization
Samira BabalouFriedrich-Schiller-Universität Jena, 2021-04-15
Dataset search in biodiversity research: Do metadata in data repositories reflect scholarly information needs?
Felicitas Löffler, Valentin Wesp, Birgitta König-Ries, Friederike KlanPlosONE, 2021-03-24