reference/19717318

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/19717318

Outgoing Links

Predicate	Object
contentType	Journal Article
issn	2045-2322
issueIdentifier	1
pageRange	2911-
publicationName	Scientific Reports
startingPage	2911
hasFundingAgency	http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_d3d2f9225d747f580ad3a2acc14f9f4d http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_0362eb81dfd3b44dc90ea98961066b80 http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_1c0aa062611518a12552a116a65f748d http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_487baf6554eb36bb22c6138d90a7c50f http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_3530de15ee7a5b7a5845f6d8f88fb255 http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_c053cec072f1fe69fb6fbfcc5c928aa6 http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_26b4b9c51f98e47f82a65bc80de0c061 http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_b07cba15b74b8e11119854839a0bce31
bibliographicCitation	Dong J, Jing X, Lu X, Liu J, Li H, Cao X, Du C, Li J, Li L. Process knowledge graph modeling techniques and application methods for ship heterogeneous models. Scientific Reports. 2022 Feb 21;12(1):2911. doi: 10.1038/s41598-022-06940-y.
creator	http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_a5b01f05f91429d5717270edbd4cfb87 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_d507c0bce5a9c5df02b714f6f5ab340d http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_8e3449f440f2bb141ee2ec22556da135 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_34dfd0bb1d21393bc746a872f3bca3df http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_62db8d75a40c60f4e985d0af85789d40 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_0a7b9339dda2d6e445dacea47d27d210 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_743c88637d879a42ddc876be89d3c655 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_8458555a394630496ab3f57d5d3ee7f4 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_cd4319d0b24bbb1a54db1d560d4170d1
date	2022-02-21^^<http://www.w3.org/2001/XMLSchema#date>
identifier	https://pubmed.ncbi.nlm.nih.gov/PMC8861156 https://doi.org/10.1038/s41598-022-06940-y https://pubmed.ncbi.nlm.nih.gov/35190625
isPartOf	https://portal.issn.org/resource/ISSN/2045-2322 http://rdf.ncbi.nlm.nih.gov/pubchem/journal/39356
language	English
source	https://pubmed.ncbi.nlm.nih.gov/ https://scigraph.springernature.com/ https://www.crossref.org/
title	Process knowledge graph modeling techniques and application methods for ship heterogeneous models

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