Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Tenglong Hong"'
Publikováno v:
IEEE Access, Vol 5, Pp 13364-13371 (2017)
International deep seabed resource surveys have accumulated a large amount of valuable marine geochemical data. These data, however, derive from a number of autonomous heterogeneous information sources that show the characteristics of big data, i.e.,
Externí odkaz:
https://doaj.org/article/2589240da3bc4b9e851ef8d6c112b1e6
Publikováno v:
IEEE Access, Vol 5, Pp 13364-13371 (2017)
International deep seabed resource surveys have accumulated a large amount of valuable marine geochemical data. These data, however, derive from a number of autonomous heterogeneous information sources that show the characteristics of big data, i.e.,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a7cd4e7f11a66f8259551e80518376e
https://doi.org/10.1109/access.2017.2724641
https://doi.org/10.1109/access.2017.2724641
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319626970
KMO
KMO
Oceanography is a comprehensive, interdisciplinary, cooperative global ocean science. Evolution of marine investigation technologies brings various and massive marine data, so its format, syntax and semantic are varied. Such heterogeneity is an obsta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5c680eeefd61cd9f96af506a295d50d
https://doi.org/10.1007/978-3-319-62698-7_25
https://doi.org/10.1007/978-3-319-62698-7_25
Publikováno v:
KMO
With the evolution of sea floor exploration technologies, marine samples and the corresponding geochemical data increased dramatically. The heterogeneity of the data in terms of syntactic and semantic structures becomes an obstacle to knowledge integ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7e8b0b69b64d4b025d1d5ad939e1968
https://doi.org/10.1145/2925995.2926025
https://doi.org/10.1145/2925995.2926025