References
11
23. G. Pizzi, A. Cepellotti, R. Sabatini, N. Marzari, B. Kozinsky, AiiDA: automated interactive
infrastructure and database for computational science. Comput. Math. Sci. 111, 218–230 (2016)
24. W. Kerber, H. Schweitzer, Interoperability in the digital economy. Jipitec 8(1), 39–58 (2017)
25. F.M. Suchanek, S. Abiteboul, P. Senellart, PARIS: probabilistic alignment of relations,
instances, and schema. Proc. VLDB Endow. 5(3), 157–168 (2011)
26. J. Euzenat, P. Shvaiko, Ontology Matching, 2nd edn. (Springer, Heidelberg, 2013)
27. F. Duchateau, Z. Bellahsene, YAM: a step forward for generating a dedicated schema matcher,
in Transactions on Large-Scale Data- and Knowledge-Centered Systems XXV, ed. by A.
Hameurlain, J. Küng, R. Wagner, LNCS, vol. 9620 (Springer, Heidelberg, Germany, 2016),
pp. 150–183
28. M. Koutraki, N. Preda, D. Vodislav, Online relation alignment for linked datasets, in Proceedings of ESWC 2017, ed. by E. Blomqvist, D. Maynard, A. Gangemi, R. Hoekstra, P. Hitzler,
O. Hartig, LNCS, vol. 10249 (Springer, Cham, Switzerland), pp. 152–168 (2017)
29. L. Zhou, M. Cheatham, P. Hitzler, Towards association rule-based complex ontology alignment,
in Proceedings JIST 2019, ed. by X. Wang, F.A. Lisi, G. Xiao, E. Botoeva, LNCS, vol. 12032
(Springer, Cham, Switzerland, 2020), pp. 287–303
30. D. Allemang, J. Hendler, Semantic Web for the Working Ontologist, 2nd edn. (Morgan Kaufmann, Waltham, Massachusetts, USA, 2011)
31. F. Baader, I. Horrocks, C. Lutz, U. Sattler, An Introduction to Description Logic (Cambridge
University Press, Cambridge, 2017)
32. T. Schneider, M. Šimkus, Ontologies and data management: a brief survey. Künstl. Intell. 34(3),
329–353 (2020). https://doi.org/10.1007/s13218-020-00686-3
33. M. Schoop, A. de Moor, J. Dietz, The pragmatic web: a manifesto. Commun. ACM 49(5),
75–76 (2006)
34. F. Weidt Neiva, J.M.N. David, R. Braga, M.R.S. Borges, F. Campos, SM2PIA: a model to
support the development of pragmatic interoperability requirements, in Proceedings of ICGSE
2016, ed. by D. Redmiles, M.A. Gerosa, T. Hildenbrand (IEEE, New York, USA), pp. 119–128
35. F. Weidt Neiva, J.M.N. David, R. Braga, F. Campos, Towards pragmatic interoperability to
support collaboration: a systematic review and mapping of the literature. Inf. Softw. Technol.
72, 137–150 (2016)
36. P. De Leenheer, S. Christiaens, Mind the gap! Transcending the tunnel view on ontology
engineering, in Proceedings of ICPW ’07, ed. by S. Buckingham Shum, M. Lind, H. Weigand
(ACM, New York, USA, 2007), pp. 75–82
37. M. Gan, Enterprise isomorphic mapping mechanism: towards ontology interoperability in EIS
development, in Proceedings of ICEBE, IEEE Computer Society, ed. by P. Kellenberger (Los
Alamitos, California, USA, 2009), pp. 340–345
38. B. Schembera, Forschungsdatenmanagement im Kontext dunkler Daten in den Simulationswissenschaften. Dissertation, Universität Stuttgart (2019). https://doi.org/10.18419/opus-11028
39. B. Lavoie, R. Gartner, Preservation Metadata, DPC Technology Watch Series, Digital Preservation Coalition, 2nd edn. (NewYork, UK, 2013)
40. J. Neumann, J. Brase, DataCite. Names for research data. J. Comp.-Aid. Mol. Des. 28(10),
1035–1041 (2014)
41. M.B. Jones, C. Boettiger, A. Cabunoc Mayes, A. Smith, P. Slaughter, K. Niemeyer, Y. Gil, M.
Fenner, K. Nowak, M. Hahnel, L. Coy, A. Allen, M. Crosas, A. Sands, N.C. Hong, P. Cruse, D.S.
Katz, C. Goble, CodeMeta: an exchange schema for software metadata. Version 2.0. Technical
report, KNB Data Repository (2017). https://doi.org/10.5063/schema/codemeta-2.0
42. S. Druskat, N.C. Hong, R. Haines, J. Baker, Citation file format (CFF): specifications. Technical
report, Zenodo (2018). https://doi.org/10.5281/zenodo.1405679
43. A.F. De Baas (ed.), What makes a material function? (EU Publications Office, Luxembourg,
Let me compute the ways, 2017)
44. CEN-CENELEC Management Centre, Materials modelling: terminology, classification and
metadata. CEN workshop agreement 17284, Brussels, Belgium (2018)
45. G. Goldbeck, E. Ghedini, A. Hashibon, G.J. Schmitz, J. Friis, A reference language and ontology for materials modelling and interoperability, in Proceedings of NWC 2019, NAFEMS
(Knutsford, UK, 2019), p NWC_19_86
Précédent

- 20/101

Suivant