EDBT 2026 Demo / reviewers in the wild / expert
Alexander Erdl
dblp:340/3269
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
1 paper |
Knowledge graphs · 50% Data integration and cleaning · 50% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 77% Medical and health informatics · 23% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › data integration
biomedical data integration |
0.6 | 1 | 2022 | CovidGraph: a graph to fight COVID-19 · Bioinform. 2022 |
Data integration and cleaning
heterogeneous data integration |
0.6 | 1 | 2022 | CovidGraph: a graph to fight COVID-19 · Bioinform. 2022 |
Knowledge graphs
knowledge graph construction |
0.6 | 1 | 2022 | CovidGraph: a graph to fight COVID-19 · Bioinform. 2022 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Knowledge Graph Builder - Constructing a Graph from Arbitrary Text Using an LLM (Software Abstract)
Andreas Benno Kollegger, Alexander Erdl, Michael Hunger |
GD | 2 |
| 2022 | CovidGraph: a graph to fight COVID-19abstractSUMMARY: Reliable and integrated data are prerequisites for effective research on the recent coronavirus disease 2019 (COVID-19) pandemic. The CovidGraph project integrates and connects heterogeneous COVID-19 data in a knowledge graph, referred to as 'CovidGraph'. It provides easy access to multiple data sources through a single point of entry and enables flexible data exploration. AVAILABILITY AND IMPLEMENTATION: More information on CovidGraph is available from the project website: https://healthecco.org/covidgraph/. Source code and documentation are provided on GitHub: https://github.com/covidgraph. SUPPLEMENTARY INFORMATION: Supplementary data is available at Bioinformatics online. Lea Gütebier, Tim Bleimehl, Ron Henkel, Jamie Munro, Axel Morgner, Jakob Laenge, Anke Pachauer, Alexander Erdl, Jens Weimar, Kirsten Walther Langendorf, Vincent Vialard, Thorsten Liebig, Martin Preusse, Dagmar Waltemath, Alexander Jarasch |
Bioinform. | 9 |