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BA
Bernd Amann
36%
Libre accès
11
Documents
Affiliations actuelles
- 413221
- 541703
Identifiants chercheurs
- bernd-amann
- 0000-0002-6822-4049
- Google Scholar : https://scholar.google.com/citations?user=jKHvF80AAAAJ&hl=en
- IdRef : 060259418
Présentation
Sorbonne Université
[LIP6](http://www.lip6.fr/informations/comment.php "http://www.lip6.fr/informations/comment.php") - Boite Courrier 169
4 place Jussieu
*75 252 Paris cedex 05*
*[Homepage Bernd Amann](http://www-bd.lip6.fr/wiki/doku.php?id=site:membres:bernd:start "Homepage Bernd Amann")*
Sorbonne Université
[LIP6](http://www.lip6.fr/informations/comment.php "http://www.lip6.fr/informations/comment.php") - Boite Courrier 169
4 place Jussieu
*75 252 Paris cedex 05*
*[Homepage Bernd Amann](http://www-bd.lip6.fr/wiki/doku.php?id=site:membres:bernd:start "Homepage Bernd Amann")*
Publications
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- 11
Exploring the Evolution of Science with Pivot Topic GraphsInternational Workshop on Big Data Visual Exploration and Analytics BigVis at EDBT 2020, Mar 2020, Copenhague, Denmark
Communication dans un congrès
hal-02459335v1
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EPIQUE: A Graph Data Model and Query Language for Exploring the Evolution of ScienceBDA 2020 : 36ème Conférence sur la Gestion de Données – Principes, Technologies et Applications., LIP6-Sorbonne Université, Oct 2020, Paris (virtual), France
Communication dans un congrès
hal-03773268v1
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EPIQUE: Extracting Meaningful Science Evolution Patterns from Large Document ArchivesInternational Conference on Extending Database Technology (EDBT), Mar 2020, Copenhagen, Denmark
Communication dans un congrès
hal-02444386v1
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Efficient similarity-based alignment of temporally-situated graph nodes with Apache SparkIEEE International Conference on Big Data, High Performance Big Graph Data Management, Analysis, and Mining, Dec 2019, Los Angeles, CA, United States. pp.4793-4798, ⟨10.1109/BigData47090.2019.9005483⟩
Communication dans un congrès
hal-02444359v1
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SPARQL Graph Pattern Processing with Apache SparkGRADES (Graph Data-management Experiences & Systems), Workshop, SIGMOD 2017, May 2017, Chicago, United States. pp.1-7
Communication dans un congrès
hal-01502519v1
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SPARQL query processing with Apache SparkJournées Bases de Données Avancées (BDA 2016), Nov 2016, Poitiers, France. pp.24-25
Communication dans un congrès
hal-01447387v1
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On the Evaluation of RDF Distribution Algorithms Implemented over Apache SparkThe 11th International Workshop on Scalable Semantic Web Knowledge Base Systems, Oct 2015, Bethlehem, Pennsylvania, United States. pp.16-31, ⟨10.48550/arXiv.1507.02321⟩
Communication dans un congrès
hal-01214902v1
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LiteMat: A scalable, cost-efficient inference encoding scheme for large RDF graphs2015 IEEE International Conference on Big Data (Big Data), Oct 2015, Santa Clara, CA, United States. pp.1823-1830, ⟨10.1109/BigData.2015.7363955⟩
Communication dans un congrès
hal-01740588v1
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Exploring the evolution of science through interactive phylomemetic topic maps32ème Conférence sur la Gestion de Données - BDA2016, Nov 2016, Poitiers, France. 2016
Poster de conférence
hal-01513264v1
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HAQWA: a Hash-based and Query Workload Aware Distributed RDF StoreThe 14th International Semantic Web Conference, ISWC 2015, Oct 2015, Bethlehem, Pennsylvania, United States. CEUR-WS.org, 1486, CEUR Workshop Proceedings
Poster de conférence
hal-01214900v1
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Distributed SPARQL Query Processing: a Case Study with Apache SparkNoSQL Data Models: Trends and Challenges, 1, Wiley, 2018, 9781119528227. ⟨10.1002/9781119528227.ch2⟩
Chapitre d'ouvrage
hal-02078524v1
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