Erhard Rahm

ORCID

Publication Activity (10 Years)

Years Active: 1985-2024
Publications (10 Years): 98

Top Venues

Publications

Marvin Hofer, Johannes Frey, Erhard Rahm
Towards self-configuring Knowledge Graph Construction Pipelines using LLMs - A Case Study with RML. KGCW@ESWC (2024)
Lucas Lange, Nils Wenzlitschke, Erhard Rahm
Generating Synthetic Health Sensor Data for Privacy-Preserving Wearable Stress Detection. CoRR (2024)
Riccardo Tommasini, Christopher Rost, Angela Bonifati, Emanuele Della Valle, Erhard Rahm, Keith W. Hare, Stefan Plantikow, Petra Selmer, Hannes Voigt
Property Graph Stream Processing In Action with Seraph. SIGMOD Conference Companion (2024)
Jacob Pollack, Hanna Köpcke, Erhard Rahm
Intermediate Fusion for Multimodal Product Matching. GvDB (2024)
Victor Christen, Daniel Obraczka, Marvin Hofer, Martin Franke, Erhard Rahm
Graph-based Active Learning for Entity Cluster Repair. CoRR (2024)
Martin Franke, Victor Christen, Peter Christen, Florens Rohde, Erhard Rahm
(Privately) Estimating Linkage Quality for Record Linkage. EDBT (2024)
Christopher Rost, Riccardo Tommasini, Angela Bonifati, Emanuele Della Valle, Erhard Rahm, Keith W. Hare, Stefan Plantikow, Petra Selmer, Hannes Voigt
Seraph: Continuous Queries on Property Graph Streams. EDBT (2024)
Benjamin Uhrich, Tim Häntschel, Martin Schäfer, Erhard Rahm
Neural Diffusion Graph Convolutional Network for Predicting Heat Transfer in Selective Laser Melting. ISAIM (2024)
Lucas Lange, Nils Wenzlitschke, Erhard Rahm
Generating Synthetic Health Sensor Data for Privacy-Preserving Wearable Stress Detection. Sensors 24 (10) (2024)
Benjamin Uhrich, Nils Pfeifer, Martin Schäfer, Oliver Theile, Erhard Rahm
Physics-informed deep learning to quantify anomalies for real-time fault mitigation in 3D printing. Appl. Intell. 54 (6) (2024)
Lucas Lange, Tobias Schreieder, Victor Christen, Erhard Rahm
Privacy at Risk: Exploiting Similarities in Health Data for Identity Inference. CoRR (2023)
Christopher Rost, Kevin Gómez, Peter Christen, Erhard Rahm
Evolution of Degree Metrics in Large Temporal Graphs. BTW (2023)
Maja Schneider, Peter Christen, Erhard Rahm, Jonathan Schneider, Lea Löffelmann
Tuning the Utility-Privacy Trade-Off in Trajectory Data. EDBT (2023)
Benjamin Uhrich, Nikolai Hlubek, Tim Häntschel, Erhard Rahm
Using differential equation inspired machine learning for valve faults prediction. INDIN (2023)
Florens Rohde, Martin Franke, Victor Christen, Erhard Rahm
Value-specific Weighting for Record-level Encodings in Privacy-Preserving Record Linkage. BTW (2023)
Lucas Lange, Maja Schneider, Peter Christen, Erhard Rahm
Privacy in Practice: Private COVID-19 Detection in X-Ray Images. SECRYPT (2023)
Lucas Lange, Borislav Degenkolb, Erhard Rahm
Privacy-Preserving Stress Detection Using Smartwatch Health Data. GI-Jahrestagung (2023)
Victor Christen, Tim Häntschel, Peter Christen, Erhard Rahm
Privacy-preserving record linkage using autoencoders. Int. J. Data Sci. Anal. 15 (4) (2023)
Marvin Hofer, Daniel Obraczka, Alieh Saeedi, Hanna Köpcke, Erhard Rahm
Construction of Knowledge Graphs: State and Challenges. CoRR (2023)
Markus Bauer, Benjamin Uhrich, Martin Schäfer, Oliver Theile, Christoph Augenstein, Erhard Rahm
Multi-Modal Artificial Intelligence in Additive Manufacturing: Combining Thermal and Camera Images for 3D-Print Quality Monitoring. ICEIS (1) (2023)
Martin Grimmer, Tim Kaelble, Felix Nirsberger, Emmely Schulze, Toni Rucks, Jörn Hoffmann, Erhard Rahm
Dataset Report: LID-DS 2021. CRITIS (2022)
Ying-Chi Lin, Phillip Hoffmann, Erhard Rahm
Correction: Enhancing Cross-lingual Biomedical Concept Normalization Using Deep Neural Network Pretrained Language Models. SN Comput. Sci. 3 (6) (2022)
Christopher Rost, Kevin Gómez, Matthias Täschner, Philip Fritzsche, Lucas Schons, Lukas Christ, Timo Adameit, Martin Junghanns, Erhard Rahm
Distributed temporal graph analytics with GRADOOP. VLDB J. 31 (2) (2022)
Daniel Obraczka, Erhard Rahm
Fast Hubness-Reduced Nearest Neighbor Search for Entity Alignment in Knowledge Graphs. SN Comput. Sci. 3 (6) (2022)
Ying-Chi Lin, Phillip Hoffmann, Erhard Rahm
Enhancing Cross-lingual Biomedical Concept Normalization Using Deep Neural Network Pretrained Language Models. SN Comput. Sci. 3 (5) (2022)
Maja Schneider, Lukas Gehrke, Peter Christen, Erhard Rahm
D-TOUR: Detour-based point of interest detection in privacy-sensitive trajectories. GI-Jahrestagung (2022)
Lucas Lange, Maja Schneider, Erhard Rahm
Privacy in Practice: Private COVID-19 Detection in X-Ray Images. CoRR (2022)
Daniel Ayala, Inma Hernández, David Ruiz, Erhard Rahm
LEAPME: Learning-based Property Matching with Embeddings. Data Knowl. Eng. 137 (2022)
Kevin Gómez, Matthias Täschner, M. Ali Rostami, Christopher Rost, Erhard Rahm
Graph Sampling with Distributed In-Memory Dataflow Systems. BTW (2021)
Daniel Obraczka, Jonathan Schuchart, Erhard Rahm
Embedding-Assisted Entity Resolution for Knowledge Graphs. KGCW@ESWC (2021)
Christopher Rost, Kevin Gómez, Philip Fritzsche, Andreas Thor, Erhard Rahm
Exploration and Analysis of Temporal Property Graphs. EDBT (2021)
Stefan Lerm, Alieh Saeedi, Erhard Rahm
Extended Affinity Propagation Clustering for Multi-source Entity Resolution. BTW (2021)
Ziad Sehili, Florens Rohde, Martin Franke, Erhard Rahm
Multi-Party Privacy Preserving Record Linkage in Dynamic Metric Space. BTW (2021)
Alieh Saeedi, Lucie David, Erhard Rahm
Matching Entities from Multiple Sources with Hierarchical Agglomerative Clustering. KEOD (2021)
Daniel Obraczka, Jonathan Schuchart, Erhard Rahm
EAGER: Embedding-Assisted Entity Resolution for Knowledge Graphs. CoRR (2021)
Martin Grimmer, Tim Kaelble, Erhard Rahm
Improving Host-Based Intrusion Detection Using Thread Information. EISA (2021)
Daniel Ayala Hernández, Inma Hernández, David Ruiz, Erhard Rahm
Towards the smart use of embedding and instance features for property matching. ICDE (2021)
Moritz Wilke, Erhard Rahm
Towards Multi-Modal Entity Resolution for Product Matching. GvDB (2021)
Daniel Obraczka, Erhard Rahm
An Evaluation of Hubness Reduction Methods for Entity Alignment with Knowledge Graph Embeddings. KEOD (2021)
Martin Franke, Ziad Sehili, Florens Rohde, Erhard Rahm
Evaluation of Hardening Techniques for Privacy-Preserving Record Linkage. EDBT (2021)
Christopher Rost, Philip Fritzsche, Lucas Schons, Maximilian Zimmer, Dieter Gawlick, Erhard Rahm
Bitemporal Property Graphs to Organize Evolving Systems. CoRR (2021)
Ying-Chi Lin, Phillip Hoffmann, Erhard Rahm
Enhancing Cross-lingual Semantic Annotations using Deep Network Sentence Embeddings. HEALTHINF (2021)
Jingyu Shao, Qing Wang, Asiri Wijesinghe, Erhard Rahm
ErGAN: Generative Adversarial Networks for Entity Resolution. ICDM (2020)
Alieh Saeedi, Eric Peukert, Erhard Rahm
Incremental Multi-source Entity Resolution for Knowledge Graph Completion. ESWC (2020)
Ying-Chi Lin, Victor Christen, Anika Groß, Toralf Kirsten, Silvio Domingos Cardoso, Cédric Pruski, Marcos Da Silveira, Erhard Rahm
Evaluating Cross-lingual Semantic Annotation for Medical Forms. HEALTHINF (2020)
Dinusha Vatsalan, Peter Christen, Erhard Rahm
Incremental clustering techniques for multi-party Privacy-Preserving Record Linkage. Data Knowl. Eng. 128 (2020)
Jingyu Shao, Qing Wang, Asiri Wijesinghe, Erhard Rahm
ErGAN: Generative Adversarial Networks for Entity Resolution. CoRR (2020)
Daniel Ayala Hernández, Inma Hernández, David Ruiz, Erhard Rahm
LEAPME: Learning-based Property Matching with Embeddings. CoRR (2020)
Christopher Rost, Andreas Thor, Philip Fritzsche, Kevin Gómez, Erhard Rahm
Evolution Analysis of Large Graphs with Gradoop. PKDD/ECML Workshops (1) (2019)
Johannes Frey, Kay Müller, Sebastian Hellmann, Erhard Rahm, Maria-Esther Vidal
Evaluation of metadata representations in RDF stores. Semantic Web 10 (2) (2019)
Christopher Rost, Andreas Thor, Erhard Rahm
Temporal Graph Analysis using Gradoop. BTW (Workshops) (2019)
M. Ali Rostami, Matthias Kricke, Eric Peukert, Stefan Kühne, Moritz Wilke, Steffen Dienst, Erhard Rahm
BIGGR: Bringing Gradoop to Applications. Datenbank-Spektrum 19 (1) (2019)
Matthias Kricke, Eric Peukert, Erhard Rahm
Graph Data Transformations in Gradoop. BTW (2019)
Victor Christen, Peter Christen, Erhard Rahm
Informativeness-Based Active Learning for Entity Resolution. PKDD/ECML Workshops (2) (2019)
Martin Franke, Ziad Sehili, Erhard Rahm
PRIMAT: A Toolbox for Fast Privacy-preserving Matching. Proc. VLDB Endow. 12 (12) (2019)
Martin Franke, Marcel Gladbach, Ziad Sehili, Florens Rohde, Erhard Rahm
ScaDS Research on Scalable Privacy-preserving Record Linkage. Datenbank-Spektrum 19 (1) (2019)
Daniel Obraczka, Alieh Saeedi, Erhard Rahm
Knowledge Graph Completion with FAMER (DI2KG Challenge Winner). DI2KG@KDD (2019)
M. Ali Rostami, Eric Peukert, Moritz Wilke, Erhard Rahm
Big graph analysis by visually created workflows. BTW (2019)
Dinusha Vatsalan, Peter Christen, Erhard Rahm
Incremental Clustering Techniques for Multi-Party Privacy-Preserving Record Linkage. CoRR (2019)
Christopher Rost, Andreas Thor, Erhard Rahm
Analyzing Temporal Graphs with Gradoop. Datenbank-Spektrum 19 (3) (2019)
Erhard Rahm, Wolfgang E. Nagel, Eric Peukert, René Jäkel, Fabian Gärtner, Peter F. Stadler, Daniel Wiegreffe, Dirk Zeckzer, Wolfgang Lehner
Big Data Competence Center ScaDS Dresden/Leipzig: Overview and selected research activities. Datenbank-Spektrum 19 (1) (2019)
Kevin Gómez, Matthias Täschner, M. Ali Rostami, Christopher Rost, Erhard Rahm
Graph Sampling with Distributed In-Memory Dataflow Systems. CoRR (2019)
Erhard Rahm, Theo Härder
Editorial. Datenbank-Spektrum 19 (1) (2019)
Silvio Domingos Cardoso, Marcos Da Silveira, Ying-Chi Lin, Victor Christen, Erhard Rahm, Chantal Reynaud-Delaître, Cédric Pruski
Combining Semantic and Lexical Measures to Evaluate Medical Terms Similarity. DILS (2018)
Alieh Saeedi, Markus Nentwig, Eric Peukert, Erhard Rahm
Scalable Matching and Clustering of Entities with FAMER. Complex Syst. Informatics Model. Q. 16 (2018)
Alieh Saeedi, Eric Peukert, Erhard Rahm
Using Link Features for Entity Clustering in Knowledge Graphs. ESWC (2018)
Martin Franke, Ziad Sehili, Marcel Gladbach, Erhard Rahm
Post-processing Methods for High Quality Privacy-Preserving Record Linkage. DPM/CBT@ESORICS (2018)
Martin Junghanns, Max Kießling, Niklas Teichmann, Kevin Gómez, André Petermann, Erhard Rahm
Declarative and distributed graph analytics with GRADOOP. Proc. VLDB Endow. 11 (12) (2018)
M. Ali Rostami, Alieh Saeedi, Eric Peukert, Erhard Rahm
Interactive Visualization of Large Similarity Graphs and Entity Resolution Clusters. EDBT (2018)
Markus Nentwig, Erhard Rahm
Incremental Clustering on Linked Data. ICDM Workshops (2018)
Martin Franke, Ziad Sehili, Erhard Rahm
Parallel Privacy-preserving Record Linkage using LSH-based Blocking. IoTBDS (2018)
Victor Christen, Ying-Chi Lin, Anika Groß, Silvio Domingos Cardoso, Cédric Pruski, Marcos Da Silveira, Erhard Rahm
A Learning-Based Approach to Combine Medical Annotation Results - (Short Paper). DILS (2018)
Marcel Gladbach, Ziad Sehili, Thomas Kudrass, Peter Christen, Erhard Rahm
Distributed Privacy-Preserving Record Linkage Using Pivot-Based Filter Techniques. ICDE Workshops (2018)
Martin Junghanns, André Petermann, Niklas Teichmann, Erhard Rahm
The Big Picture: Understanding large-scale graphs using Graph Grouping with Gradoop. BTW (2017)
Andre Petermann, Giovanni Micale, Giacomo Bergami, Alfredo Pulvirenti, Erhard Rahm
Mining and ranking of generalized multi-dimensional frequent subgraphs. ICDIM (2017)
Martin Junghanns, Max Kießling, Alex Averbuch, André Petermann, Erhard Rahm
Cypher-based Graph Pattern Matching in Gradoop. GRADES@SIGMOD/PODS (2017)
Markus Nentwig, Anika Groß, Maximilian Möller, Erhard Rahm
Distributed Holistic Clustering on Linked Data. OTM Conferences (2) (2017)
Martin Junghanns, André Petermann, Erhard Rahm
Distributed Grouping of Property Graphs with Gradoop. BTW (2017)
André Petermann, Martin Junghanns, Erhard Rahm
DIMSpan: Transactional Frequent Subgraph Mining with Distributed In-Memory Dataflow Systems. BDCAT (2017)
Dinusha Vatsalan, Peter Christen, Erhard Rahm
Scalable Multi-Database Privacy-Preserving Record Linkage using Counting Bloom Filters. CoRR (2017)
Victor Christen, Anika Groß, Jeffrey Fisher, Qing Wang, Peter Christen, Erhard Rahm
Temporal group linkage and evolution analysis for census data. EDBT (2017)
Markus Nentwig, Anika Groß, Maximilian Möller, Erhard Rahm
Distributed Holistic Clustering on Linked Data. CoRR (2017)
Silvio Domingos Cardoso, Chantal Reynaud-Delaître, Marcos Da Silveira, Ying-Chi Lin, Anika Groß, Erhard Rahm, Cédric Pruski
Towards a Multi-level Approach for the Maintenance of Semantic Annotations. HEALTHINF (2017)
André Petermann, Martin Junghanns, Erhard Rahm
DIMSpan - Transactional Frequent Subgraph Mining with Distributed In-Memory Dataflow Systems. CoRR (2017)
Alieh Saeedi, Eric Peukert, Erhard Rahm
Comparative Evaluation of Distributed Clustering Schemes for Multi-source Entity Resolution. ADBIS (2017)
Ying-Chi Lin, Victor Christen, Anika Groß, Silvio Domingos Cardoso, Cédric Pruski, Marcos Da Silveira, Erhard Rahm
Evaluating and Improving Annotation Tools for Medical Forms. DILS (2017)
Markus Nentwig, Michael Hartung, Axel-Cyrille Ngonga Ngomo, Erhard Rahm
A survey of current Link Discovery frameworks. Semantic Web 8 (3) (2017)
Victor Christen, Anika Groß, Erhard Rahm
Approaches for Annotating Medical Documents. LWDA (2016)
Erhard Rahm
Big Data Analytics. it Inf. Technol. 58 (4) (2016)
Victor Christen, Anika Groß, Erhard Rahm
A Reuse-Based Annotation Approach for Medical Documents. ISWC (1) (2016)
Ziad Sehili, Erhard Rahm
Speeding up Privacy Preserving Record Linkage for Metric Space Similarity Measures. Datenbank-Spektrum 16 (3) (2016)
Martin Junghanns, André Petermann, Niklas Teichmann, Kevin Gómez, Erhard Rahm
Analyzing extended property graphs with Apache Flink. NDA@SIGMOD (2016)
Markus Nentwig, Anika Groß, Erhard Rahm
Holistic Entity Clustering for Linked Data. ICDM Workshops (2016)
Erhard Rahm
The Case for Holistic Data Integration. ADBIS (2016)
André Petermann, Martin Junghanns, Stephan Kemper, Kevin Gómez, Niklas Teichmann, Erhard Rahm
Graph Mining for Complex Data Analytics. ICDM Workshops (2016)
Markus Nentwig, Anika Groß, Erhard Rahm
A Clustering Approach for Holistic Link Discovery (Project overview). LWDA (2016)
Dinusha Vatsalan, Peter Christen, Erhard Rahm
Scalable Privacy-Preserving Linking of Multiple Databases Using Counting Bloom Filters. ICDM Workshops (2016)
Silvio Domingos Cardoso, Cédric Pruski, Marcos Da Silveira, Ying-Chi Lin, Anika Groß, Erhard Rahm, Chantal Reynaud-Delaître
Leveraging the Impact of Ontology Evolution on Semantic Annotations. EKAW (2016)
Volker Markl, Erhard Rahm, Wolfgang Lehner, Michael Beigl, Thomas Seidl
Big Data-Zentren - Vorstellung und Panel. BTW (2015)
Theo Härder, Erhard Rahm
30 Jahre "Datenbanksysteme für Business, Technologie und Web" - Die BTW im Wandel der Datenbank-Zeiten. Datenbank-Spektrum 15 (1) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Erhard Rahm