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The ARCOMEM Architecture for Social- and Semantic-Driven Web Archiving.

, , , , , , , , , , , , , и . Future Internet, 6 (4): 688-716 (2014)

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Georgios Papailiou

Konstantin O Papailiou

Konstantin O Papailiou

Nikolaos Diamantis

Nikolaos Karatsioras

 

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Multi-engine Analytics with IReS., , , , , и . BIRTE (Revised Selected Papers), том 337 из Lecture Notes in Business Information Processing, стр. 133-154. Springer, (2016)Scalable Indexing and Adaptive Querying of RDF Data in the cloud., , , , и . SWIM, стр. 39:1-39:8. ACM, (2014)Κλιμακώσιμοι και βασισμένοι στο φόρτο εργασίας αλγόριθμοι διαχείρισης μη δομημένων δεδομένων. National Technical University of Athens, Greece, (2016)National Archive of PhD Theses: oai:10442/39646.Graph-Aware, Workload-Adaptive SPARQL Query Caching., , , и . SIGMOD Conference, стр. 1777-1792. ACM, (2015)MuSQLE: Distributed SQL query execution over multiple engine environments., , , и . IEEE BigData, стр. 452-461. IEEE Computer Society, (2016)Optimizing, Planning and Executing Analytics Workflows over Multiple Engines., , , , , , , , и . EDBT/ICDT Workshops, том 1558 из CEUR Workshop Proceedings, CEUR-WS.org, (2016)IReS: Intelligent, Multi-Engine Resource Scheduler for Big Data Analytics Workflows., , , , и . SIGMOD Conference, стр. 1451-1456. ACM, (2015)H2RDF: adaptive query processing on RDF data in the cloud., , , и . WWW (Companion Volume), стр. 397-400. ACM, (2012)H2RDF+: High-performance distributed joins over large-scale RDF graphs., , , , и . IEEE BigData, стр. 255-263. IEEE Computer Society, (2013)H2RDF+: an efficient data management system for big RDF graphs., , , , и . SIGMOD Conference, стр. 909-912. ACM, (2014)