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Bertram Ludäscher

University of Illinois at Urbana-Champaign

27 papers hereh-index 459.9k citations348 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author12
  • last author12

Across the 27 of 27 papers where every author was matched, so the position is known.

fields
  • cs.DB10
  • cs.CL3
  • cs.DC3
  • cs.AI2
  • cs.LO2
  • q-bio.PE2
affiliations
  • University of Illinois at Urbana-Champaign
same name
  • Bertram Ludäscher — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20132025
most citedReasoning over Taxonomic Change: Exploring Alignments for the Perelleschus Use Case

36 citations · 148 across the 24 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CE2023★ 3 cited

Context, Composition, Automation, and Communication -- The C2AC Roadmap for Modeling and Simulation

Adelinde Uhrmacher, Peter Frazier, Reiner Hähnle +9

Simulation has become, in many application areas, a sine-qua-non. Most recently, COVID-19 has underlined the importance of simulation studies and limitations in current practices a…

cs.LO2023

Games and Argumentation: Time for a Family Reunion!

Bertram Ludäscher, Yilin Xia

The rule "defeated(X) ← attacks(Y,X), ¬ defeated(Y)" states that an argument is defeated if it is attacked by an argument that is not defeated. The rule "win(X) $\l…

hep-lat2023★ 4 cited

Provenance for Lattice QCD workflows

Tanja Auge, Gunnar Bali, Meike Klettke +4

We present a provenance model for the generic workflow of numerical Lattice Quantum Chromodynamics (QCD) calculations, which constitute an important component of particle physics r…

cs.CL2023★ 4 cited

KAER: A Knowledge Augmented Pre-Trained Language Model for Entity Resolution

Liri Fang, Lan Li, Yiren Liu +2

Entity resolution has been an essential and well-studied task in data cleaning research for decades. Existing work has discussed the feasibility of utilizing pre-trained language m…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.