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Dr. Daniel Obraczka

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  • Dr. Daniel Obraczka
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  • Daniel Obraczka
  • obraczka@informatik.uni-leipzig.de
  • +49 341 97 39516

About

  • 2018 - 2024 Researcher at ScaDS
  • Master of Science (Computer Science), University of Leipzig, October 2018
  • 2015 - 2018 Student Researcher at AKSW 

Research Interests

  • Knowledge Graphs
  • (Knowledge Graph) Embeddings
  • Data Integration
  • Machine Learning (especially for everything mentioned above)

PC Member

  • DI2KG 2020

Selected Talks

  • ScaDS.AI SummerSchool 2022: Connecting The Right Dots: Entity Resolution on Knowledge Graphs
  • DBpedia-Day colocated with SEMANTICS 2022: Fast Hubness-Reduced Nearest Neighbor Search for Entity Alignment in Knowledge Graphs

Betreute Abschlussarbeiten (5)

Jahr Typ Student Titel Status
2024 B. Sc. Luan de Paiva Orsini Optimizing Retrieval in a Graph RAG System Finished
2023 M. Sc. Steven Lehmann Link Prediction als Möglichkeit zur automatisierten Personaleinsatzplanung Finished
2022 B. Sc. Jonathan Weske Standzeitvorhersage innerhalb eines Fahrradverleihsystems Finished
2022 M. Sc. Duong Trung Duong Scalable and Accurate Decision Tree Learning for Entity Resolution Finished
2021 B. Sc. Tinsaye Abye TF-IDF for Entity Resolution in huge Knowledge Graphs Finished

Publications (13)

Dateien Cover Beschreibung Jahr
Knowledge Graph Completion with FAMER
Obraczka, D. ; Saeedi, A. ; Rahm, E.
Proc. KDD workshop on Data Integration to Knowledge Graphs (DI2KG) (DI2KG Challenge Winner)
2019 / 8
Dragon: Decision Tree Learning for Link Discovery
Obraczka, D. ; Ngomo, A.
Web Engineering
2019
Dynamic Planning for Link Discovery
Georgala, K. ; Obraczka, D. ; Ngomo, A.
The Semantic Web, ESWC 2018, Lecture Notes in Computer Science
2018

Pagination

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Recent publications

  • 2025 / 9: Generating Semantically Enriched Mobility Data from Travel Diaries
  • 2025 / 8: Slice it up: Unmasking User Identities in Smartwatch Health Data
  • 2025 / 7: MPGT: Multimodal Physics-Constrained Graph Transformer Learning for Hybrid Digital Twins
  • 2025 / 6: Leveraging foundation models and goal-dependent annotations for automated cell confluence assessment
  • 2025 / 6: SecUREmatch: Integrating Clerical Review in Privacy-Preserving Record Linkage

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