Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Bernd Amann"'
Publikováno v:
Big Data Research
Big Data Research, Elsevier, 2021, 26, pp.100247. ⟨10.1016/j.bdr.2021.100247⟩
Big Data Research, Elsevier, 2021, 26, pp.100247. ⟨10.1016/j.bdr.2021.100247⟩
International audience; In this article we propose a data model and query language for the visualisation and exploration of topic evolution networks representing the research progress in scientific document archives. Our model is independent of a par
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55b1acb7cd0d93062e05b2e8eb2166f6
https://hal.sorbonne-universite.fr/hal-03347058
https://hal.sorbonne-universite.fr/hal-03347058
Publikováno v:
IEEE International Conference on Big Data, High Performance Big Graph Data Management, Analysis, and Mining
IEEE International Conference on Big Data, High Performance Big Graph Data Management, Analysis, and Mining, Dec 2019, Los Angeles, United States
IEEE BigData
IEEE International Conference on Big Data, High Performance Big Graph Data Management, Analysis, and Mining, Dec 2019, Los Angeles, United States
IEEE BigData
Topic evolution networks are widely used to represent the evolution of research topics in scientific document archives. These networks might contain thousands of topics and alignment edges which are computed by comparing millions of topic pairs with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f71718f8ec5de97726334e440cf00c85
https://hal.sorbonne-universite.fr/hal-02444359
https://hal.sorbonne-universite.fr/hal-02444359
The LNCS journal Transactions on Large-scale Data and Knowledge-centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become th
Publikováno v:
Advances in Databases and Information Systems-23rd European Conference, ADBIS 2019
Advances in Databases and Information Systems-23rd European Conference, ADBIS 2019, Sep 2019, Bled, Slovenia. pp.302-318, ⟨10.1007/978-3-030-28730-6_19⟩
Advances in Databases and Information Systems ISBN: 9783030287290
ADBIS
Advances in Databases and Information Systems-23rd European Conference, ADBIS 2019, Sep 2019, Bled, Slovenia. pp.302-318, ⟨10.1007/978-3-030-28730-6_19⟩
Advances in Databases and Information Systems ISBN: 9783030287290
ADBIS
International audience; Data imputation is a well-known technique for repairing missing data values but can incur a prohibitive cost when applied to large data sets. Query-driven imputation offers a better alternative as it allows for fixing only the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f99fab3dadc293acb7cd98d300b4d4b7
https://hal.sorbonne-universite.fr/hal-02310571
https://hal.sorbonne-universite.fr/hal-02310571
Publikováno v:
30th International Conference on Database and Expert Systems Applications-DEXA 2019
30th International Conference on Database and Expert Systems Applications-DEXA 2019, Aug 2019, Linz, Austria. pp.47-62, ⟨10.1007/978-3-030-27618-8_4⟩
Lecture Notes in Computer Science ISBN: 9783030276171
DEXA (2)
30th International Conference on Database and Expert Systems Applications-DEXA 2019, Aug 2019, Linz, Austria. pp.47-62, ⟨10.1007/978-3-030-27618-8_4⟩
Lecture Notes in Computer Science ISBN: 9783030276171
DEXA (2)
International audience; Information incompleteness is a major data quality issue which is amplified by the increasing amount of data collected from unreliable sources. Assessing the completeness of data is crucial for determining the quality of the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7152d25b741be016950118377300f2fd
https://hal.sorbonne-universite.fr/hal-02310582
https://hal.sorbonne-universite.fr/hal-02310582
Publikováno v:
GRADES (Graph Data-management Experiences & Systems), Workshop, SIGMOD 2017
GRADES (Graph Data-management Experiences & Systems), Workshop, SIGMOD 2017, May 2017, Chicago, United States. pp.1-7
GRADES@SIGMOD/PODS
GRADES (Graph Data-management Experiences & Systems), Workshop, SIGMOD 2017, May 2017, Chicago, United States. pp.1-7
GRADES@SIGMOD/PODS
International audience; A common way to achieve scalability for processing SPARQL queries over large RDF data sets is to choose map-reduce frameworks like Hadoop or Spark. Processing complex SPARQL queries generating large join plans over distributed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f44d4417ecb4418cc3631d6f2b23eff
https://hal.science/hal-01502519
https://hal.science/hal-01502519
Autor:
Bernd Amann
Publikováno v:
Encyclopedia of Social Network Analysis and Mining ISBN: 9781461471639
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4df9fcfa73b836ed7330fe4087ab16d4
https://doi.org/10.1007/978-1-4614-7163-9_136-1
https://doi.org/10.1007/978-1-4614-7163-9_136-1
Publikováno v:
The 14th International Semantic Web Conference, ISWC 2015
The 14th International Semantic Web Conference, ISWC 2015, Oct 2015, Bethlehem, Pennsylvania, United States. CEUR-WS.org, 1486, CEUR Workshop Proceedings
Scopus-Elsevier
The 14th International Semantic Web Conference, ISWC 2015, Oct 2015, Bethlehem, Pennsylvania, United States. CEUR-WS.org, 1486, CEUR Workshop Proceedings
Scopus-Elsevier
International audience; Like most data models encountered in the Big Data ecosystem, RDF stores are managing large data sets by partitioning triples across a cluster of machines. Nevertheless, the graphical nature of RDF data as well as its associate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c82bdba2daa90e4e1e40dea65bcfb6dc
https://hal.archives-ouvertes.fr/hal-01214900
https://hal.archives-ouvertes.fr/hal-01214900
Publikováno v:
The 11th International Workshop on Scalable Semantic Web Knowledge Base Systems
The 11th International Workshop on Scalable Semantic Web Knowledge Base Systems, Oct 2015, Bethlehem, Pennsylvania, United States. pp.16-31
Scopus-Elsevier
The 11th International Workshop on Scalable Semantic Web Knowledge Base Systems, Oct 2015, Bethlehem, Pennsylvania, United States. pp.16-31
Scopus-Elsevier
Querying very large RDF data sets in an efficient manner requires a sophisticated distribution strategy. Several innovative solutions have recently been proposed for optimizing data distribution with predefined query workloads. This paper presents an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cdde5ea3b4f205627e88cf70e0e33d4
https://hal.archives-ouvertes.fr/hal-01214902
https://hal.archives-ouvertes.fr/hal-01214902