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Automatic metadata capture and grid computing

, , , , , , , , , and . Proceedings of the UK e-Science All Hands Meeting 2006, page 426--432. Nottingham, UK, (2006)

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Ontologies for the Virtual Materials Marketplace., , , , , , , , , and 6 other author(s). CoRR, (2019)Ontologies for the Virtual Materials Marketplace., , , , , , , , , and 6 other author(s). Künstliche Intell., 34 (3): 423-428 (2020)Ontology-based semantic interoperability on the Virtual Materials Marketplace., , , , , , , , , and 15 other author(s). ISWC (Demos/Industry), volume 2721 of CEUR Workshop Proceedings, page 134-138. CEUR-WS.org, (2020)Pragmatic Interoperability and Translation of Industrial Engineering Problems into Modelling and Simulation Solutions., , , , , , and . DAMDID/RCDL (Selected Papers), volume 1427 of Communications in Computer and Information Science, page 45-59. Springer, (2020)Efficient Domain Decomposition of Dissipative Particle Dynamics via Choice of Pseudorandom Number Generator., , and . PaCT, volume 7979 of Lecture Notes in Computer Science, page 250-257. Springer, (2013)Multiscale scientific workflows on high-performance hybrid cloud., , , , , , , , , and . CANOPIE-HPC@SC, page 1-11. IEEE, (2022)Semantic interoperability and characterization of data provenance in computational molecular engineering., , , , , , , , , and 4 other author(s). CoRR, (2019)Mapping application performance to HPC architecture., , , , , , , , , and 7 other author(s). Comput. Phys. Commun., 183 (3): 520-529 (2012)Characterization of data provenance in computational engineering by an ontological representation of simulation workflows, , , , , , , , and . Data Analytics and Management in Data Intensive Domains: Proceedings of the XXI.\ International Conference (DAMDID/RCDL 2019), page 493-494. Kazan Federal University, (2019)Semantic interoperability and characterization of data provenance in computational molecular engineering, , , , , , , , , and 4 other author(s). Journal of Chemical & Engineering Data, 65 (3): 1313-1329 (2020)