Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Orri Erling"'
Autor:
Pedro Pedreira, Orri Erling, Masha Basmanova, Kevin Wilfong, Laith Sakka, Krishna Pai, Wei He, Biswapesh Chattopadhyay
Publikováno v:
Proceedings of the VLDB Endowment. 15:3372-3384
The ad-hoc development of new specialized computation engines targeted to very specific data workloads has created a siloed data landscape. Commonly, these engines share little to nothing with each other and are hard to maintain, evolve, and optimize
Autor:
Thanh Do, Ahmed M. Aly, Somayeh Sardashti, Yiqun Wei, Yang Xia, Zhepeng Yan, Jiacheng Yang, John Cieslewicz, Jun Xu, Shiv Venkataraman, Andrew Harn, Craig Chasseur, Jeff Shute, Felix Weigel, Chanjun Yang, Orri Erling, Andrey Gubichev, Ben Handy, Anurag Biyani, Amr El-Helw, Himani Apte, Daniel Tenedorio, Jason Govig, Petros Venetis, Goetz Graefe, Divy Agrawal, Jiexing Li, Ian Rae, Zhan Yuan, Ashish Gupta, Qiang Zeng, Colin Zheng, David G. Wilhite, Mohan Yang, Keith Peters, Bart Samwel
Publikováno v:
Proceedings of the VLDB Endowment. 11:1835-1848
F1 Query is a stand-alone, federated query processing platform that executes SQL queries against data stored in different file-based formats as well as different storage systems at Google (e.g., Bigtable, Spanner, Google Spreadsheets, etc.). F1 Query
Autor:
József Marton, Peter Boncz, Vlad Haprian, Arnau Prat-Pérez, Alex Averbuch, János Benjamin Antal, Gábor Szárnyas, Marcus Paradies, Moritz Kaufmann, Orri Erling
Publikováno v:
GRADES/NDA@SIGMOD/PODS
In this short paper, we provide an early look at the LDBC Social Network Benchmark's Business Intelligence (BI) workload which tests graph data management systems on a graph business analytics workload. Its queries involve complex aggregations and na
Publikováno v:
Linked Data Management
The ever-growing volume of linked data calls for the efficient processing of SPARQL – the de-facto standard query language for Semantic Web — over RDF datasets. In this chapter we review the state of the art of centralized RDF query processing. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::495b797e46e650d25f78c20c7d38b056
https://doi.org/10.1201/b16859-13
https://doi.org/10.1201/b16859-13
Publikováno v:
SEMANTICS
Triple stores are the backbone of the evolution of the Linked Data Web. However, even standard queries on many attributes can result in high query response times using available triple stores. For use in commercial search applications, particularly f
Publikováno v:
GRADES@SIGMOD/PODS
3rd International Workshop on Graph Data Management Experiences and Systems, GRADES 2015-co-located with SIGMOD/PODS 2015
Capota, M, Hegeman, T, Iosup, A, Prat-Pérez, A, Erling, O & Boncz, P 2015, Graphalytics : A big data benchmark for graph-processing platforms . in 3rd International Workshop on Graph Data Management Experiences and Systems, GRADES 2015-co-located with SIGMOD/PODS 2015 ., 2764954, Association for Computing Machinery, Inc, 3rd International Workshop on Graph Data Management Experiences and Systems, GRADES 2015, Melbourne, Australia, 31/05/15 . https://doi.org/10.1145/2764947.2764954
3rd International Workshop on Graph Data Management Experiences and Systems, GRADES 2015-co-located with SIGMOD/PODS 2015
Capota, M, Hegeman, T, Iosup, A, Prat-Pérez, A, Erling, O & Boncz, P 2015, Graphalytics : A big data benchmark for graph-processing platforms . in 3rd International Workshop on Graph Data Management Experiences and Systems, GRADES 2015-co-located with SIGMOD/PODS 2015 ., 2764954, Association for Computing Machinery, Inc, 3rd International Workshop on Graph Data Management Experiences and Systems, GRADES 2015, Melbourne, Australia, 31/05/15 . https://doi.org/10.1145/2764947.2764954
Graphs are increasingly used in industry, governance, and science. This has stimulated the appearance of many and diverse graph-processing platforms. Although platform di- versity is beneficial, it also makes it very challenging to select the best pl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ac19ac71cc123055a42e691c8e74e57
https://research.vu.nl/en/publications/c469e91b-8f53-4261-bde8-3b6a2a70a732
https://research.vu.nl/en/publications/c469e91b-8f53-4261-bde8-3b6a2a70a732
Publikováno v:
Pham, M D, Passing, L, Erling, O & Boncz, P 2015, Deriving an emergent relational schema from RDF data . in WWW 2015-Proceedings of the 24th International Conference on World Wide Web . Association for Computing Machinery, Inc, pp. 864-874, 24th International Conference on World Wide Web, WWW 2015, Florence, Italy, 18/05/15 . https://doi.org/10.1145/2736277.2741121
WWW
WWW 2015-Proceedings of the 24th International Conference on World Wide Web, 864-874
STARTPAGE=864;ENDPAGE=874;TITLE=WWW 2015-Proceedings of the 24th International Conference on World Wide Web
WWW
WWW 2015-Proceedings of the 24th International Conference on World Wide Web, 864-874
STARTPAGE=864;ENDPAGE=874;TITLE=WWW 2015-Proceedings of the 24th International Conference on World Wide Web
We motivate and describe techniques that allow to detect an "emergent" relational schema from RDF data. We show that on a wide variety of datasets, the found structure explains well over 90% of the RDF triples. Further, we also describe technical sol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e2371e5059ab5d360cdb36a5a601df8
https://ir.cwi.nl/pub/23379
https://ir.cwi.nl/pub/23379
Autor:
Venelin Kotsev, Ioan Toma, Peter Boncz, Josep L. Larriba-Pey, Irini Fundulaki, Thomas Neumann, Norbert Martínez-Bazan, Renzo Angles, Orri Erling, Peter Neubauer
Publikováno v:
ACM SIGMOD Record, 43(1), 27-31
Angles Rojas, R, Boncz, P A, Larriba Pey, J, Fundulaki, I, Neumann, T, Erling, O, Neubauer, P, Kotsev, V & Toma, I 2014, ' The Linked Data Benchmark Council: a Graph and RDF industry benchmarking effort ', ACM SIGMOD Record, vol. 43, pp. 27-31 . https://doi.org/10.1145/2627692.2627697
SIGMOD RECORD
Artículos CONICYT
CONICYT Chile
instacron:CONICYT
ACM SIGMOD Record, 43, 27-31. Association for Computing Machinery (ACM)
Angles Rojas, R, Boncz, P A, Larriba Pey, J, Fundulaki, I, Neumann, T, Erling, O, Neubauer, P, Kotsev, V & Toma, I 2014, ' The Linked Data Benchmark Council: a Graph and RDF industry benchmarking effort ', ACM SIGMOD Record, vol. 43, pp. 27-31 . https://doi.org/10.1145/2627692.2627697
SIGMOD RECORD
Artículos CONICYT
CONICYT Chile
instacron:CONICYT
ACM SIGMOD Record, 43, 27-31. Association for Computing Machinery (ACM)
The Linked Data Benchmark Council (LDBC) is an EU project that aims to develop industry-strength benchmarks for graph and RDF data management systems. It includes the creation of a non-profit LDBC organization, where industry players and academia com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99c199cd71f4e3b02588a338ffd7491d
https://ir.cwi.nl/pub/22545
https://ir.cwi.nl/pub/22545
Publikováno v:
Linked Open Data--Creating Knowledge Out of Interlinked Data ISBN: 9783319098456
Linked Open Data
Linked Open Data
One of the prime goals of the LOD2 project is improving the performance and scalability of RDF storage solutions so that the increasing amount of Linked Open Data (LOD) can be efficiently managed. Virtuoso has been chosen as the basic RDF store for t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0aa7ff0ef4874660ef92e98b5da9edf
https://doi.org/10.1007/978-3-319-09846-3_2
https://doi.org/10.1007/978-3-319-09846-3_2
Publikováno v:
Selected Topics in Performance Evaluation and Benchmarking ISBN: 9783642367267
TPCTC
Transaction Processing Council Technical Conference (TPCTC)
Minh Duc, P, Boncz, P A & Erling, O 2012, S3G2: a Scalable Structure-correlated Social Graph Generator . in Transaction Processing Council Technical Conference (TPCTC) . < http://oai.cwi.nl/oai/asset/19975/19975B.pdf >
TPCTC
Transaction Processing Council Technical Conference (TPCTC)
Minh Duc, P, Boncz, P A & Erling, O 2012, S3G2: a Scalable Structure-correlated Social Graph Generator . in Transaction Processing Council Technical Conference (TPCTC) . < http://oai.cwi.nl/oai/asset/19975/19975B.pdf >
Benchmarking graph-oriented database workloads and graph-oriented database systems is increasingly becoming relevant in analytical Big Data tasks, such as social network analysis. In graph data, structure is not mainly found inside the nodes, but esp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8dfca3ea0bd3c61fab582d105b90dffa
https://ir.cwi.nl/pub/19975
https://ir.cwi.nl/pub/19975