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1DistRDF2ML - Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs
C. Draschner, C. Stadler, F. Bakhshandegan Moghaddam, J. Lehmann, and H. Jabeen. Proceedings of the 30th ACM International Conference on Information & Knowledge Management , page 4465–4474. New York, NY, USA, Association for Computing Machinery, (2021)
12 days ago by @aksw
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1LSQ 2.0: A linked dataset of SPARQL query logs
C. Stadler, M. Saleem, Q. Mehmood, C. Buil-Aranda, M. Dumontier, A. Hogan, and A. Ngonga Ngomo. Semantic Web (November 2022)
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1Open Data and the Status Quo -- A Fine-Grained Evaluation Framework for Open Data Quality and an Analysis of Open Data portals in Germany
L. Wenige, C. Stadler, M. Martin, R. Figura, R. Sauter, and C. Frank. (2021)
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2MINDS: A Translator to Embed Mathematical Expressions Inside SPARQL Queries
D. Graux, G. Sejdiu, C. Stadler, G. Napolitano, and J. Lehmann. Semantic Systems. In the Era of Knowledge Graphs , page 104--117. Cham, Springer International Publishing, (2020)
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1LSQ Framework: The LSQ Framework for SPARQL Query Log Processing
C. Stadler, M. Saleem, and A. Ngomo. 6th Workshop on Storing, Querying and Benchmarking Knowledge Graphs @ ISWC 2022 , volume 3279 of CEUR Workshop Proceedings, (2022)
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1KGCW2023 Challenge Report RDFProcessingToolkit / Sansa
S. Bin, C. Stadler, and L. Bühmann. 4th International Workshop on Knowledge Graph Construction @ ESWC 2023 , 3471, Hersonissos, Greece, (2023)
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1Scaling RML and SPARQL-based Knowledge Graph Construction with Apache Spark
C. Stadler, L. Bühmann, L. Meyer, and M. Martin. 4th International Workshop on Knowledge Graph Construction @ ESWC 2023 , volume 3471 of CEUR workshop proceedings, Hersonissos, Greece, (2023)
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1Towards the next generation of the LinkedGeoData project using virtual knowledge graphs
L. Ding, G. Xiao, A. Pano, C. Stadler, and D. Calvanese. Journal of Web Semantics (2021)
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1Semantification of Geospatial Information for Enriched Knowledge Representation in Context of Crisis Informatics
C. Stadler, S. Bin, L. Bühmann, N. Radtke, K. Junghanns, S. Gründer-Fahrer, and M. Martin. Proceedings of the International Workshop on Data-driven Resilience Research 2022 , volume 3376 of CEUR Workshop Proceedings, Leipzig, Germany, (July 2022)
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1Base Platform for Knowledge Graphs with Free Software
S. Bin, C. Stadler, N. Radtke, K. Junghanns, S. Gründer-Fahrer, and M. Martin. Proceedings of the International Workshop on Linked Data-driven Resilience Research 2023 , volume 3401 of CEUR Workshop Proceedings, Hersonissos, Greece, (May 2023)
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1Reproducibility Crisis in the LOD Cloud? Studying the Impact of Ontology Accessibility and Archiving as a Counter Measure
J. Frey, D. Streitmatter, N. Arndt, and S. Hellmann. The Semantic Web–ISWC 2022: 21st International Semantic Web Conference , (October 2022)
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1Spatial concept learning and inference on geospatial polygon data
P. Westphal, T. Grubenmann, D. Collarana, S. Bin, L. Bühmann, and J. Lehmann. Knowl. Based Syst. (2022)
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1Managing and Compiling Data Dependencies for Semantic Applications using Databus Client
J. Frey, F. Götz, and M. Hofer. 15th International Conference on Metadata and Semantics Research , Springer, (2021)
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1Approaches to measure class importance in Knowledge Graphs
D. Fernández-Álvarez, J. Frey, J. Labra Gayo, D. Gayo-Avello, and S. Hellmann. Plos one 16 (6): e0252862 (2021)
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1FAIR Linked Data - Towards a Linked Data Backbone for Users and Machines
J. Frey, and S. Hellmann. Companion of The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021 , page 431--435. ACM / IW3C2, (2021)
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1Introducing the Open Energy Ontology: Enhancing data interpretation and interfacing in energy systems analysis
M. Booshehri, L. Emele, S. Flügel, H. Förster, J. Frey, U. Frey, M. Glauer, J. Hastings, C. Hofmann, C. Hoyer-Klick, and others. Energy and AI (2021)
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2Schema-agnostic SPARQL-driven faceted search benchmark generation
C. Stadler, S. Bin, L. Wenige, L. Bühmann, and J. Lehmann. Journal of Web Semantics (2020)
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1Towards a Systematic Approach to Sync Factual Data across Wikipedia, Wikidata and External Data Sources.
S. Hellmann, J. Frey, M. Hofer, M. Dojchinovski, K. Węcel, and W. Lewoniewski. Proceedings of the Conference on Digital Curation Technologies , (2020)
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3The New DBpedia Release Cycle: Increasing Agility and Efficiency in Knowledge Extraction Workflows
M. Hofer, S. Hellmann, M. Dojchinovski, and J. Frey. (2020)
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2Evaluation of Metadata Representations in RDF Stores
J. Frey, K. Müller, S. Hellmann, E. Rahm, and M. Vidal. Semantic Web 10 (2): 205--229 (2019)
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1DistRDF2ML - Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs

1LSQ 2.0: A linked dataset of SPARQL query logs

1Open Data and the Status Quo -- A Fine-Grained Evaluation Framework for Open Data Quality and an Analysis of Open Data portals in Germany

2MINDS: A Translator to Embed Mathematical Expressions Inside SPARQL Queries

1LSQ Framework: The LSQ Framework for SPARQL Query Log Processing

1KGCW2023 Challenge Report RDFProcessingToolkit / Sansa

1Scaling RML and SPARQL-based Knowledge Graph Construction with Apache Spark

1Towards the next generation of the LinkedGeoData project using virtual knowledge graphs

1Semantification of Geospatial Information for Enriched Knowledge Representation in Context of Crisis Informatics

1Base Platform for Knowledge Graphs with Free Software

1Reproducibility Crisis in the LOD Cloud? Studying the Impact of Ontology Accessibility and Archiving as a Counter Measure

1Spatial concept learning and inference on geospatial polygon data

1Managing and Compiling Data Dependencies for Semantic Applications using Databus Client

1Approaches to measure class importance in Knowledge Graphs

1FAIR Linked Data - Towards a Linked Data Backbone for Users and Machines

1Introducing the Open Energy Ontology: Enhancing data interpretation and interfacing in energy systems analysis

2Schema-agnostic SPARQL-driven faceted search benchmark generation

1Towards a Systematic Approach to Sync Factual Data across Wikipedia, Wikidata and External Data Sources.

3The New DBpedia Release Cycle: Increasing Agility and Efficiency in Knowledge Extraction Workflows

2Evaluation of Metadata Representations in RDF Stores

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