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ORCIDErhard Rahm
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- affiliation: Leipzig University, Germany
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2020 – today
- 2023
[j79]Victor Christen, Tim Häntschel, Peter Christen, Erhard Rahm:
Privacy-preserving record linkage using autoencoders. Int. J. Data Sci. Anal. 15(4): 347-357 (2023)- [c173]Florens Rohde, Martin Franke, Victor Christen, Erhard Rahm:
Value-specific Weighting for Record-level Encodings in Privacy-Preserving Record Linkage. BTW 2023: 439-460 - [c172]Christopher Rost, Kevin Gómez, Peter Christen, Erhard Rahm:
Evolution of Degree Metrics in Large Temporal Graphs. BTW 2023: 485-507 - [c171]Maja Schneider, Peter Christen, Erhard Rahm, Jonathan Schneider, Lea Löffelmann:
Tuning the Utility-Privacy Trade-Off in Trajectory Data. EDBT 2023: 839-842 - [c170]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: 539-546 - [c169]Benjamin Uhrich, Nikolai Hlubek, Tim Häntschel, Erhard Rahm:
Using differential equation inspired machine learning for valve faults prediction. INDIN 2023: 1-8 - [c168]Lucas Lange, Maja Schneider, Peter Christen, Erhard Rahm:
Privacy in Practice: Private COVID-19 Detection in X-Ray Images. SECRYPT 2023: 624-633 - [i22]Marvin Hofer, Daniel Obraczka, Alieh Saeedi, Hanna Köpcke, Erhard Rahm:
Construction of Knowledge Graphs: State and Challenges. CoRR abs/2302.11509 (2023) - [i21]Lucas Lange, Tobias Schreieder, Victor Christen, Erhard Rahm:
Privacy at Risk: Exploiting Similarities in Health Data for Identity Inference. CoRR abs/2308.08310 (2023) - 2022
- [j78]Daniel Ayala
, Inma Hernández, David Ruiz, Erhard Rahm:
LEAPME: Learning-based Property Matching with Embeddings. Data Knowl. Eng. 137: 101943 (2022) - [j77]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): 387 (2022) - [j76]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): 475 (2022) - [j75]Daniel Obraczka, Erhard Rahm:
Fast Hubness-Reduced Nearest Neighbor Search for Entity Alignment in Knowledge Graphs. SN Comput. Sci. 3(6): 501 (2022) - [j74]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): 375-401 (2022) - [c167]Martin Grimmer, Tim Kaelble, Felix Nirsberger, Emmely Schulze, Toni Rucks, Jörn Hoffmann, Erhard Rahm:
Dataset Report: LID-DS 2021. CRITIS 2022: 63-73 - [c166]Maja Schneider, Lukas Gehrke, Peter Christen, Erhard Rahm:
D-TOUR: Detour-based point of interest detection in privacy-sensitive trajectories. GI-Jahrestagung 2022: 219-230 - [p7]Daniel Obraczka, Alieh Saeedi, Victor Christen, Erhard Rahm:
Big Data Integration for Industry 4.0. Digital Transformation 2022: 247-268 - [i20]Lucas Lange, Maja Schneider, Erhard Rahm:
Privacy in Practice: Private COVID-19 Detection in X-Ray Images. CoRR abs/2211.11434 (2022) - 2021
- [c165]Ying-Chi Lin, Phillip Hoffmann, Erhard Rahm:
Enhancing Cross-lingual Semantic Annotations using Deep Network Sentence Embeddings. HEALTHINF 2021: 188-199 - [c164]Stefan Lerm, Alieh Saeedi, Erhard Rahm:
Extended Affinity Propagation Clustering for Multi-source Entity Resolution. BTW 2021: 217-236 - [c163]Ziad Sehili, Florens Rohde, Martin Franke, Erhard Rahm:
Multi-Party Privacy Preserving Record Linkage in Dynamic Metric Space. BTW 2021: 257-278 - [c162]Kevin Gómez, Matthias Täschner, M. Ali Rostami, Christopher Rost, Erhard Rahm:
Graph Sampling with Distributed In-Memory Dataflow Systems. BTW 2021: 303-312 - [c161]Martin Franke, Ziad Sehili, Florens Rohde, Erhard Rahm:
Evaluation of Hardening Techniques for Privacy-Preserving Record Linkage. EDBT 2021: 289-300 - [c160]Christopher Rost, Kevin Gómez, Philip Fritzsche, Andreas Thor, Erhard Rahm:
Exploration and Analysis of Temporal Property Graphs. EDBT 2021: 682-685 - [c159]Martin Grimmer, Tim Kaelble, Erhard Rahm:
Improving Host-Based Intrusion Detection Using Thread Information. EISA 2021: 159-177 - [c158]Daniel Obraczka, Jonathan Schuchart, Erhard Rahm:
Embedding-Assisted Entity Resolution for Knowledge Graphs. KGCW@ESWC 2021 - [c157]Moritz Wilke, Erhard Rahm:
Towards Multi-Modal Entity Resolution for Product Matching. GvDB 2021 - [c156]Daniel Obraczka, Erhard Rahm:
An Evaluation of Hubness Reduction Methods for Entity Alignment with Knowledge Graph Embeddings. KEOD 2021: 28-39 - [c155]Alieh Saeedi, Lucie David, Erhard Rahm:
Matching Entities from Multiple Sources with Hierarchical Agglomerative Clustering. KEOD 2021: 40-50 - [c154]Daniel Ayala Hernández, Inma Hernández, David Ruiz, Erhard Rahm:
Towards the smart use of embedding and instance features for property matching. ICDE 2021: 2111-2116 - [i19]Daniel Obraczka, Jonathan Schuchart, Erhard Rahm:
EAGER: Embedding-Assisted Entity Resolution for Knowledge Graphs. CoRR abs/2101.06126 (2021) - [i18]Christopher Rost, Philip Fritzsche, Lucas Schons, Maximilian Zimmer, Dieter Gawlick, Erhard Rahm:
Bitemporal Property Graphs to Organize Evolving Systems. CoRR abs/2111.13499 (2021) - 2020
- [j73]Dinusha Vatsalan, Peter Christen, Erhard Rahm:
Incremental clustering techniques for multi-party Privacy-Preserving Record Linkage. Data Knowl. Eng. 128: 101809 (2020) - [c153]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: 145-155 - [c152]Alieh Saeedi, Eric Peukert, Erhard Rahm:
Incremental Multi-source Entity Resolution for Knowledge Graph Completion. ESWC 2020: 393-408 - [c151]Jingyu Shao, Qing Wang, Asiri Wijesinghe, Erhard Rahm:
ErGAN: Generative Adversarial Networks for Entity Resolution. ICDM 2020: 1250-1255 - [i17]Daniel Ayala Hernández, Inma Hernández, David Ruiz, Erhard Rahm:
LEAPME: Learning-based Property Matching with Embeddings. CoRR abs/2010.01951 (2020) - [i16]Jingyu Shao, Qing Wang, Asiri Wijesinghe, Erhard Rahm:
ErGAN: Generative Adversarial Networks for Entity Resolution. CoRR abs/2012.10004 (2020)
2010 – 2019
- 2019
- [j72]Erhard Rahm, Theo Härder:
Editorial. Datenbank-Spektrum 19(1): 1-3 (2019) - [j71]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): 5-16 (2019) - [j70]Martin Franke, Marcel Gladbach, Ziad Sehili, Florens Rohde, Erhard Rahm:
ScaDS Research on Scalable Privacy-preserving Record Linkage. Datenbank-Spektrum 19(1): 31-40 (2019) - [j69]M. Ali Rostami, Matthias Kricke, Eric Peukert, Stefan Kühne, Moritz Wilke, Steffen Dienst, Erhard Rahm:
BIGGR: Bringing Gradoop to Applications. Datenbank-Spektrum 19(1): 51-60 (2019) - [j68]Christopher Rost, Andreas Thor, Erhard Rahm:
Analyzing Temporal Graphs with Gradoop. Datenbank-Spektrum 19(3): 199-208 (2019) - [j67]Martin Franke, Ziad Sehili, Erhard Rahm:
PRIMAT: A Toolbox for Fast Privacy-preserving Matching. Proc. VLDB Endow. 12(12): 1826-1829 (2019) - [j66]Johannes Frey, Kay Müller, Sebastian Hellmann, Erhard Rahm, Maria-Esther Vidal:
Evaluation of metadata representations in RDF stores. Semantic Web 10(2): 205-229 (2019) - [c150]Christopher Rost, Andreas Thor, Erhard Rahm:
Temporal Graph Analysis using Gradoop. BTW (Workshops) 2019: 109-118 - [c149]Matthias Kricke, Eric Peukert, Erhard Rahm:
Graph Data Transformations in Gradoop. BTW 2019: 193-202 - [c148]M. Ali Rostami, Eric Peukert, Moritz Wilke, Erhard Rahm:
Big graph analysis by visually created workflows. BTW 2019: 559-563 - [c147]Daniel Obraczka, Alieh Saeedi, Erhard Rahm:
Knowledge Graph Completion with FAMER (DI2KG Challenge Winner). DI2KG@KDD 2019 - [c146]Victor Christen, Peter Christen, Erhard Rahm:
Informativeness-Based Active Learning for Entity Resolution. PKDD/ECML Workshops (2) 2019: 125-141 - [c145]Christopher Rost, Andreas Thor, Philip Fritzsche, Kevin Gómez, Erhard Rahm:
Evolution Analysis of Large Graphs with Gradoop. PKDD/ECML Workshops (1) 2019: 402-408 - [e11]Torsten Grust, Felix Naumann, Alexander Böhm, Wolfgang Lehner, Theo Härder, Erhard Rahm, Andreas Heuer, Meike Klettke, Holger Meyer:
Datenbanksysteme für Business, Technologie und Web (BTW 2019), 18. Fachtagung des GI-Fachbereichs „Datenbanken und Informationssysteme" (DBIS), 4.-8. März 2019, Rostock, Germany, Proceedings. LNI P-289, Gesellschaft für Informatik, Bonn 2019, ISBN 978-3-88579-683-1 [contents] - [r5]Erhard Rahm, Eric Peukert:
Holistic Schema Matching. Encyclopedia of Big Data Technologies 2019 - [r4]Erhard Rahm, Eric Peukert:
Large Scale Entity Resolution. Encyclopedia of Big Data Technologies 2019 - [r3]Erhard Rahm, Eric Peukert:
Large-Scale Schema Matching. Encyclopedia of Big Data Technologies 2019 - [i15]Kevin Gómez, Matthias Täschner, M. Ali Rostami, Christopher Rost, Erhard Rahm:
Graph Sampling with Distributed In-Memory Dataflow Systems. CoRR abs/1910.04493 (2019) - [i14]Dinusha Vatsalan, Peter Christen, Erhard Rahm:
Incremental Clustering Techniques for Multi-Party Privacy-Preserving Record Linkage. CoRR abs/1911.12930 (2019) - 2018
- [j65]Alieh Saeedi, Markus Nentwig, Eric Peukert, Erhard Rahm:
Scalable Matching and Clustering of Entities with FAMER. Complex Syst. Informatics Model. Q. 16: 61-83 (2018) - [j64]Martin Junghanns, Max Kießling, Niklas Teichmann, Kevin Gómez, André Petermann, Erhard Rahm:
Declarative and distributed graph analytics with GRADOOP. Proc. VLDB Endow. 11(12): 2006-2009 (2018) - [c144]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: 17-32 - [c143]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: 135-143 - [c142]M. Ali Rostami, Alieh Saeedi, Eric Peukert, Erhard Rahm:
Interactive Visualization of Large Similarity Graphs and Entity Resolution Clusters. EDBT 2018: 690-693 - [c141]Martin Franke, Ziad Sehili, Marcel Gladbach, Erhard Rahm:
Post-processing Methods for High Quality Privacy-Preserving Record Linkage. DPM/CBT@ESORICS 2018: 263-278 - [c140]Alieh Saeedi, Eric Peukert, Erhard Rahm:
Using Link Features for Entity Clustering in Knowledge Graphs. ESWC 2018: 576-592 - [c139]Marcel Gladbach, Ziad Sehili, Thomas Kudrass, Peter Christen, Erhard Rahm:
Distributed Privacy-Preserving Record Linkage Using Pivot-Based Filter Techniques. ICDE Workshops 2018: 33-38 - [c138]Markus Nentwig, Erhard Rahm:
Incremental Clustering on Linked Data. ICDM Workshops 2018: 531-538 - [c137]Martin Franke, Ziad Sehili, Erhard Rahm:
Parallel Privacy-preserving Record Linkage using LSH-based Blocking. IoTBDS 2018: 195-203 - [e10]Michael H. Böhlen, Reinhard Pichler, Norman May, Erhard Rahm, Shan-Hung Wu, Katja Hose:
Proceedings of the 21st International Conference on Extending Database Technology, EDBT 2018, Vienna, Austria, March 26-29, 2018. OpenProceedings.org 2018, ISBN 978-3-89318-078-3 [contents] - [r2]Erhard Rahm:
Logging and Recovery. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [j63]Markus Nentwig, Michael Hartung, Axel-Cyrille Ngonga Ngomo, Erhard Rahm:
A survey of current Link Discovery frameworks. Semantic Web 8(3): 419-436 (2017) - [c136]Alieh Saeedi, Eric Peukert, Erhard Rahm:
Comparative Evaluation of Distributed Clustering Schemes for Multi-source Entity Resolution. ADBIS 2017: 278-293 - [c135]André Petermann, Martin Junghanns, Erhard Rahm:
DIMSpan: Transactional Frequent Subgraph Mining with Distributed In-Memory Dataflow Systems. BDCAT 2017: 237-246 - [c134]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: 401-406 - [c133]Martin Junghanns, André Petermann, Erhard Rahm:
Distributed Grouping of Property Graphs with Gradoop. BTW 2017: 103-122 - [c132]Martin Junghanns, André Petermann, Niklas Teichmann, Erhard Rahm:
The Big Picture: Understanding large-scale graphs using Graph Grouping with Gradoop. BTW 2017: 629-632 - [c131]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: 1-16 - [c130]Victor Christen, Anika Groß, Jeffrey Fisher, Qing Wang, Peter Christen, Erhard Rahm:
Temporal group linkage and evolution analysis for census data. EDBT 2017: 620-631 - [c129]Martin Junghanns, Max Kießling, Alex Averbuch, André Petermann, Erhard Rahm:
Cypher-based Graph Pattern Matching in Gradoop. GRADES@SIGMOD/PODS 2017: 3:1-3:8 - [c128]Andre Petermann, Giovanni Micale, Giacomo Bergami, Alfredo Pulvirenti, Erhard Rahm:
Mining and ranking of generalized multi-dimensional frequent subgraphs. ICDIM 2017: 236-245 - [c127]Markus Nentwig, Anika Groß, Maximilian Möller, Erhard Rahm:
Distributed Holistic Clustering on Linked Data. OTM Conferences (2) 2017: 371-382 - [p6]Martin Junghanns, André Petermann, Martin Neumann, Erhard Rahm:
Management and Analysis of Big Graph Data: Current Systems and Open Challenges. Handbook of Big Data Technologies 2017: 457-505 - [p5]Dinusha Vatsalan, Ziad Sehili, Peter Christen, Erhard Rahm:
Privacy-Preserving Record Linkage for Big Data: Current Approaches and Research Challenges. Handbook of Big Data Technologies 2017: 851-895 - [e9]Peter Christen, Bettina Kemme, Erhard Rahm:
Proceedings of the VLDB 2017 PhD Workshop co-located with the 43rd International Conference on Very Large Databases (VLDB 2017), Munich, Germany, August 28, 2017. CEUR Workshop Proceedings 1882, CEUR-WS.org 2017 [contents] - [i13]Dinusha Vatsalan, Peter Christen, Erhard Rahm:
Scalable Multi-Database Privacy-Preserving Record Linkage using Counting Bloom Filters. CoRR abs/1701.01232 (2017) - [i12]André Petermann, Martin Junghanns, Erhard Rahm:
DIMSpan - Transactional Frequent Subgraph Mining with Distributed In-Memory Dataflow Systems. CoRR abs/1703.01910 (2017) - [i11]Markus Nentwig, Anika Groß, Maximilian Möller, Erhard Rahm:
Distributed Holistic Clustering on Linked Data. CoRR abs/1708.09299 (2017) - 2016
- [j62]Ziad Sehili, Erhard Rahm:
Speeding up Privacy Preserving Record Linkage for Metric Space Similarity Measures. Datenbank-Spektrum 16(3): 227-236 (2016) - [j61]Erhard Rahm:
Big Data Analytics. it Inf. Technol. 58(4): 155-156 (2016) - [c126]Erhard Rahm:
The Case for Holistic Data Integration. ADBIS 2016: 11-27 - [c125]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: 68-82 - [c124]Markus Nentwig, Anika Groß, Erhard Rahm:
Holistic Entity Clustering for Linked Data. ICDM Workshops 2016: 194-201 - [c123]Dinusha Vatsalan, Peter Christen, Erhard Rahm:
Scalable Privacy-Preserving Linking of Multiple Databases Using Counting Bloom Filters. ICDM Workshops 2016: 882-889 - [c122]André Petermann, Martin Junghanns, Stephan Kemper, Kevin Gómez, Niklas Teichmann, Erhard Rahm:
Graph Mining for Complex Data Analytics. ICDM Workshops 2016: 1316-1319 - [c121]Markus Nentwig, Anika Groß, Erhard Rahm:
A Clustering Approach for Holistic Link Discovery (Project overview). LWDA 2016: 200-205 - [c120]Victor Christen, Anika Groß, Erhard Rahm:
Approaches for Annotating Medical Documents. LWDA 2016: 227-232 - [c119]Victor Christen, Anika Groß, Erhard Rahm:
A Reuse-Based Annotation Approach for Medical Documents. ISWC (1) 2016: 135-150 - [c118]Martin Junghanns, André Petermann, Niklas Teichmann, Kevin Gómez, Erhard Rahm:
Analyzing extended property graphs with Apache Flink. NDA@SIGMOD 2016: 3:1-3:8 - 2015
- [b6]Erhard Rahm, Gunter Saake, Kai-Uwe Sattler:
Verteiltes und Paralleles Datenmanagement: Von verteilten Datenbanken zu Big Data und Cloud. Springer 2015, ISBN 978-3-642-45241-3 - [j60]Theo Härder, Erhard Rahm:
30 Jahre "Datenbanksysteme für Business, Technologie und Web" - Die BTW im Wandel der Datenbank-Zeiten. Datenbank-Spektrum 15(1): 81-90 (2015) - [j59]Patrick Arnold, Erhard Rahm:
Automatic Extraction of Semantic Relations from Wikipedia. Int. J. Artif. Intell. Tools 24(2): 1540010:1-1540010:36 (2015) - [c117]Ziad Sehili, Lars Kolb, Christian Borgs, Rainer Schnell, Erhard Rahm:
Privacy Preserving Record Linkage with PPJoin. BTW 2015: 85-104 - [c116]Sebastian Dorok, Birgitta König-Ries, Matthias Lange, Erhard Rahm, Gunter Saake, Bernhard Seeger:
Joint workshop on data management for science (DMS). BTW Workshops 2015: 105-108 - [c115]Patrick Arnold, Erhard Rahm:
SemRep: A Repository for Semantic Mapping. BTW 2015: 177-194 - [c114]Volker Markl, Erhard Rahm, Wolfgang Lehner, Michael Beigl, Thomas Seidl:
Big Data-Zentren - Vorstellung und Panel. BTW 2015: 477-479 - [c113]Eric Peukert, Christian Wartner, Erhard Rahm:
A Smart Link Infrastructure for Integrating and Analyzing Process Data. BTW 2015: 547-564 - [c112]Victor Christen, Anika Groß, Julian Varghese, Martin Dugas, Erhard Rahm:
Annotating Medical Forms Using UMLS. DILS 2015: 55-69 - [c111]Jeffrey Fisher, Peter Christen, Qing Wang, Erhard Rahm:
A Clustering-Based Framework to Control Block Sizes for Entity Resolution. KDD 2015: 279-288 - [i10]Christian Wartner, Patrick Arnold, Erhard Rahm:
Semi-automatic identification of counterfeit offers in online shopping platforms. CoRR abs/1504.00457 (2015) - [i9]Martin Junghanns, André Petermann, Kevin Gómez, Erhard Rahm:
GRADOOP: Scalable Graph Data Management and Analytics with Hadoop. CoRR abs/1506.00548 (2015) - 2014
- [j58]Lars Kolb, Ziad Sehili, Erhard Rahm:
Iterative Computation of Connected Graph Components with MapReduce. Datenbank-Spektrum 14(2): 107-117 (2014) - [j57]Patrick Arnold, Erhard Rahm:
Enriching ontology mappings with semantic relations. Data Knowl. Eng. 93: 1-18 (2014) - [j56]Salvatore Raunich, Erhard Rahm:
Target-driven merging of taxonomies with Atom. Inf. Syst. 42: 1-14 (2014) - [j55]Li-Hui Lee, Anika Groß, Michael Hartung, Der-Ming Liou, Erhard Rahm:
Research and applications: A multi-part matching strategy for mapping LOINC with laboratory terminologies. J. Am. Medical Informatics Assoc. 21(5): 792-800 (2014) - [j54]Erhard Rahm:
Discovering product counterfeits in online shops: A big data integration challenge. ACM J. Data Inf. Qual. 5(1-2): 3:1-3:3 (2014) - [j53]Andre Petermann, Martin Junghanns, Robert Müller, Erhard Rahm:
Graph-based Data Integration and Business Intelligence with BIIIG. Proc. VLDB Endow. 7(13): 1577-1580 (2014) - [c110]Markus Nentwig, Tommaso Soru, Axel-Cyrille Ngonga Ngomo, Erhard Rahm:
LinkLion: A Link Repository for the Web of Data. ESWC (Satellite Events) 2014: 439-443 - [c109]Erhard Rahm, Wolfgang E. Nagel:
ScaDS Dresden/Leipzig: Ein serviceorientiertes Kompetenzzentrum für Big Data. GI-Jahrestagung 2014: 717 - [c108]