Process knowledge graph modeling techniques and application methods for ship heterogeneous models

In the process design and reuse of marine component products, there are a lot of heterogeneous models, causing the problem that the process knowledge and process design experience contained in them are difficult to express and reuse. Therefore, a process knowledge representation model for ship heter...

Full description

Saved in:
Bibliographic Details
Published inScientific reports Vol. 12; no. 1; p. 2911
Main Authors Dong, Jianwei, Jing, Xuwen, Lu, Xiang, Liu, Jinfeng, Li, Haipeng, Cao, Xuwu, Du, Chenxiao, Li, Jun, Li, Lei
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 21.02.2022
Nature Publishing Group
Nature Portfolio
Subjects
Online AccessGet full text

Cover

Loading…
Abstract In the process design and reuse of marine component products, there are a lot of heterogeneous models, causing the problem that the process knowledge and process design experience contained in them are difficult to express and reuse. Therefore, a process knowledge representation model for ship heterogeneous model is proposed in this paper. Firstly, the multi-element process knowledge graph is constructed, and the heterogeneous ship model is described in a unified way. Then, the multi-strategy ontology mapping method is applied, and the semantic expression between the process knowledge graph and the entity model is realized. Finally, by obtaining implicit semantics based on case-based reasoning and checking the similarity of the matching results, the case knowledge reuse is achieved, to achieve rapid design of the process. This method provides reliable technical support for the design of ship component assembly and welding process, greatly shortens the design cycle, and improves the working efficiency. In addition, taking the double-deck bottom segment of a ship as an example, the process knowledge map of the heterogeneous model is constructed to realize the rapid design of ship process, which shows that the method can effectively acquire the process knowledge in the design case and improve the efficiency and intelligence of knowledge reuse in the process design of the heterogeneous model of a ship.
AbstractList Abstract In the process design and reuse of marine component products, there are a lot of heterogeneous models, causing the problem that the process knowledge and process design experience contained in them are difficult to express and reuse. Therefore, a process knowledge representation model for ship heterogeneous model is proposed in this paper. Firstly, the multi-element process knowledge graph is constructed, and the heterogeneous ship model is described in a unified way. Then, the multi-strategy ontology mapping method is applied, and the semantic expression between the process knowledge graph and the entity model is realized. Finally, by obtaining implicit semantics based on case-based reasoning and checking the similarity of the matching results, the case knowledge reuse is achieved, to achieve rapid design of the process. This method provides reliable technical support for the design of ship component assembly and welding process, greatly shortens the design cycle, and improves the working efficiency. In addition, taking the double-deck bottom segment of a ship as an example, the process knowledge map of the heterogeneous model is constructed to realize the rapid design of ship process, which shows that the method can effectively acquire the process knowledge in the design case and improve the efficiency and intelligence of knowledge reuse in the process design of the heterogeneous model of a ship.
In the process design and reuse of marine component products, there are a lot of heterogeneous models, causing the problem that the process knowledge and process design experience contained in them are difficult to express and reuse. Therefore, a process knowledge representation model for ship heterogeneous model is proposed in this paper. Firstly, the multi-element process knowledge graph is constructed, and the heterogeneous ship model is described in a unified way. Then, the multi-strategy ontology mapping method is applied, and the semantic expression between the process knowledge graph and the entity model is realized. Finally, by obtaining implicit semantics based on case-based reasoning and checking the similarity of the matching results, the case knowledge reuse is achieved, to achieve rapid design of the process. This method provides reliable technical support for the design of ship component assembly and welding process, greatly shortens the design cycle, and improves the working efficiency. In addition, taking the double-deck bottom segment of a ship as an example, the process knowledge map of the heterogeneous model is constructed to realize the rapid design of ship process, which shows that the method can effectively acquire the process knowledge in the design case and improve the efficiency and intelligence of knowledge reuse in the process design of the heterogeneous model of a ship.
Abstract In the process design and reuse of marine component products, there are a lot of heterogeneous models, causing the problem that the process knowledge and process design experience contained in them are difficult to express and reuse. Therefore, a process knowledge representation model for ship heterogeneous model is proposed in this paper. Firstly, the multi-element process knowledge graph is constructed, and the heterogeneous ship model is described in a unified way. Then, the multi-strategy ontology mapping method is applied, and the semantic expression between the process knowledge graph and the entity model is realized. Finally, by obtaining implicit semantics based on case-based reasoning and checking the similarity of the matching results, the case knowledge reuse is achieved, to achieve rapid design of the process. This method provides reliable technical support for the design of ship component assembly and welding process, greatly shortens the design cycle, and improves the working efficiency. In addition, taking the double-deck bottom segment of a ship as an example, the process knowledge map of the heterogeneous model is constructed to realize the rapid design of ship process, which shows that the method can effectively acquire the process knowledge in the design case and improve the efficiency and intelligence of knowledge reuse in the process design of the heterogeneous model of a ship.
ArticleNumber 2911
Author Liu, Jinfeng
Cao, Xuwu
Li, Jun
Li, Haipeng
Dong, Jianwei
Du, Chenxiao
Lu, Xiang
Li, Lei
Jing, Xuwen
Author_xml – sequence: 1
  givenname: Jianwei
  surname: Dong
  fullname: Dong, Jianwei
  organization: School of Mechanical Engineering, Jiangsu University of Science and Technology
– sequence: 2
  givenname: Xuwen
  surname: Jing
  fullname: Jing, Xuwen
  organization: School of Mechanical Engineering, Jiangsu University of Science and Technology
– sequence: 3
  givenname: Xiang
  surname: Lu
  fullname: Lu, Xiang
  organization: China Merchants Cruise Shipbuilding Co., LTD
– sequence: 4
  givenname: Jinfeng
  surname: Liu
  fullname: Liu, Jinfeng
  email: liujinfeng@just.edu.cn
  organization: School of Mechanical Engineering, Jiangsu University of Science and Technology
– sequence: 5
  givenname: Haipeng
  surname: Li
  fullname: Li, Haipeng
  organization: China Merchants Cruise Shipbuilding Co., LTD
– sequence: 6
  givenname: Xuwu
  surname: Cao
  fullname: Cao, Xuwu
  organization: School of Mechanical Engineering, Jiangsu University of Science and Technology
– sequence: 7
  givenname: Chenxiao
  surname: Du
  fullname: Du, Chenxiao
  organization: School of Mechanical Engineering, Jiangsu University of Science and Technology
– sequence: 8
  givenname: Jun
  surname: Li
  fullname: Li, Jun
  organization: China Merchants Cruise Shipbuilding Co., LTD
– sequence: 9
  givenname: Lei
  surname: Li
  fullname: Li, Lei
  organization: School of Mechanical Engineering, Jiangsu University of Science and Technology
BackLink https://www.ncbi.nlm.nih.gov/pubmed/35190625$$D View this record in MEDLINE/PubMed
BookMark eNp9kk1vFSEUhompsbX2D7gwJG7cjPI9zMbENFabNNGFrgkXznxcZ2CEuZr778u9U2vrQkICgfc8h3N4n6OTEAMg9JKSt5Rw_S4LKhtdEcYqohpBqv0TdMaIkBXjjJ082J-ii5y3pAzJGkGbZ-iUS9oQxeQZsl9TdJAz_hHi7xF8B7hLdu7xFD2MQ-jwAq4Pw88dZGyDx3aex8HZZYgBT7D00WfcxoRzP8y4hwVS7CBA3OUVkV-gp60dM1zcrefo-9XHb5efq5svn64vP9xUTgqyVFwDp04JEFbV3FIurWBNw2unGWVCgmNctRu64WVaUiqoFWs4UxZ823Dg5-h65fpot2ZOw2TT3kQ7mONBTJ2xaRncCEa1nligWrW1Ftr7ko2q2ntqN20rbV1Y71fWvNtM4B2EJdnxEfTxTRh608VfRmtFqVQF8OYOkOKhdYuZhuxgHO2xNYYpXtILoVmRvv5Huo27FEqrDipSC6b5AchWlUsx5wTt_WMoMQdDmNUQphjCHA1h9iXo1cMy7kP-fH8R8FWQy1XoIP3N_R_sLZV2xGs
CitedBy_id crossref_primary_10_1007_s00170_024_13568_x
crossref_primary_10_3390_jmse10101352
crossref_primary_10_1016_j_infsof_2023_107327
crossref_primary_10_1080_09544828_2023_2301230
crossref_primary_10_3390_jmse11101906
crossref_primary_10_1016_j_jmsy_2023_08_006
crossref_primary_10_1088_1742_6596_2787_1_012063
Cites_doi 10.1080/08839514.2014.962282
10.1038/s41598-017-05778-z
10.1016/j.asoc.2011.05.054
10.1109/JPROC.2015.2483592
10.1016/j.cie.2011.02.016
10.1016/S0010-4485(01)00157-9
10.1007/s00170-017-0274-5
10.3145/thinkepi.2018.31
10.1016/j.robot.2019.03.005
10.1007/s40436-014-0073-2
10.1109/TKDE.2017.2754499
10.1016/j.websem.2015.12.002
10.1016/j.ress.2020.107352
10.1007/s00170-017-1077-4
10.1007/s00170-016-9979-0
10.4028/www.scientific.net/AMM.543-547.1827
10.1017/S0269888918000255
10.1016/j.eswa.2019.112965
10.1016/j.compind.2019.07.001
10.1007/978-3-319-67008-9_25
10.1109/TKDE.2015.2426696
10.1007/s40436-014-0097-7
10.1088/1748-9326/ab4dfe
10.1016/j.ijinfomgt.2017.07.013
10.1007/s40436-014-0077-yO
10.13366/j.dik.2016.04.093
10.1016/j.apenergy.2017.03.130
10.1109/TKDE.2008.227
10.1109/TKDE.2009.89
ContentType Journal Article
Copyright The Author(s) 2022
2022. The Author(s).
The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml – notice: The Author(s) 2022
– notice: 2022. The Author(s).
– notice: The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID C6C
NPM
AAYXX
CITATION
3V.
7X7
7XB
88A
88E
88I
8FE
8FH
8FI
8FJ
8FK
ABUWG
AFKRA
AZQEC
BBNVY
BENPR
BHPHI
CCPQU
DWQXO
FYUFA
GHDGH
GNUQQ
HCIFZ
K9.
LK8
M0S
M1P
M2P
M7P
PIMPY
PQEST
PQQKQ
PQUKI
PRINS
Q9U
7X8
5PM
DOA
DOI 10.1038/s41598-022-06940-y
DatabaseName Springer Open Access
PubMed
CrossRef
ProQuest Central (Corporate)
Health & Medical Collection
ProQuest Central (purchase pre-March 2016)
Biology Database (Alumni Edition)
Medical Database (Alumni Edition)
Science Database (Alumni Edition)
ProQuest SciTech Collection
ProQuest Natural Science Collection
Hospital Premium Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Central (Alumni)
ProQuest Central
ProQuest Central Essentials
Biological Science Collection
ProQuest Central
Natural Science Collection
ProQuest One Community College
ProQuest Central
Health Research Premium Collection
Health Research Premium Collection (Alumni)
ProQuest Central Student
SciTech Premium Collection
ProQuest Health & Medical Complete (Alumni)
Biological Sciences
Health & Medical Collection (Alumni Edition)
PML(ProQuest Medical Library)
Science Journals (ProQuest Database)
Biological Science Database
Publicly Available Content Database
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
ProQuest Central Basic
MEDLINE - Academic
PubMed Central (Full Participant titles)
DOAJ Directory of Open Access Journals
DatabaseTitle PubMed
CrossRef
Publicly Available Content Database
ProQuest Central Student
ProQuest Central Essentials
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ProQuest Natural Science Collection
ProQuest Central China
ProQuest Biology Journals (Alumni Edition)
ProQuest Central
Health Research Premium Collection
Health and Medicine Complete (Alumni Edition)
Natural Science Collection
ProQuest Central Korea
Biological Science Collection
ProQuest Medical Library (Alumni)
ProQuest Science Journals (Alumni Edition)
ProQuest Biological Science Collection
ProQuest Central Basic
ProQuest Science Journals
ProQuest One Academic Eastern Edition
ProQuest Hospital Collection
Health Research Premium Collection (Alumni)
Biological Science Database
ProQuest SciTech Collection
ProQuest Hospital Collection (Alumni)
ProQuest Health & Medical Complete
ProQuest Medical Library
ProQuest One Academic UKI Edition
ProQuest One Academic
ProQuest Central (Alumni)
MEDLINE - Academic
DatabaseTitleList CrossRef
Publicly Available Content Database



PubMed
Database_xml – sequence: 1
  dbid: C6C
  name: Springer Open Access
  url: http://www.springeropen.com/
  sourceTypes: Publisher
– sequence: 2
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 3
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 4
  dbid: BENPR
  name: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Biology
EISSN 2045-2322
EndPage 2911
ExternalDocumentID oai_doaj_org_article_6fd0ae186f7848dda13167dd1abff5a7
10_1038_s41598_022_06940_y
35190625
Genre Journal Article
GrantInformation_xml – fundername: National Defense Basic Scientific Research Program of China
  grantid: JCKY2018414C002
  funderid: http://dx.doi.org/10.13039/501100012335
– fundername: High-tech Ship Scientific Research Project of the Ministry of Industry and Information Technology
  grantid: CJ04N20
– fundername: National Natural Science Foundation of China
  grantid: 52075229
  funderid: http://dx.doi.org/10.13039/501100001809
– fundername: Major Basic Research Project of the Natural Science Foundation of the Jiangsu Higher Education Institutions
  grantid: 20KJA460009
  funderid: http://dx.doi.org/10.13039/501100013280
– fundername: National Natural Science Foundation of China
  grantid: 52075229
– fundername: Major Basic Research Project of the Natural Science Foundation of the Jiangsu Higher Education Institutions
  grantid: 20KJA460009
– fundername: National Defense Basic Scientific Research Program of China
  grantid: JCKY2018414C002
– fundername: ;
  grantid: CJ04N20
– fundername: ;
  grantid: 52075229
– fundername: ;
  grantid: JCKY2018414C002
– fundername: ;
  grantid: 20KJA460009
GroupedDBID 0R~
3V.
4.4
53G
5VS
7X7
88A
88E
88I
8FE
8FH
8FI
8FJ
AAFWJ
AAJSJ
AAKDD
ABDBF
ABUWG
ACGFS
ACSMW
ADBBV
ADRAZ
AENEX
AFKRA
AJTQC
ALIPV
ALMA_UNASSIGNED_HOLDINGS
AOIJS
AZQEC
BAWUL
BBNVY
BCNDV
BENPR
BHPHI
BPHCQ
BVXVI
C6C
CCPQU
DIK
DWQXO
EBD
EBLON
EBS
ESX
FYUFA
GNUQQ
GROUPED_DOAJ
GX1
HCIFZ
HH5
HMCUK
HYE
KQ8
LK8
M0L
M1P
M2P
M48
M7P
M~E
NAO
OK1
PIMPY
PQQKQ
PROAC
PSQYO
RIG
RNT
RNTTT
RPM
SNYQT
UKHRP
AFPKN
NPM
AAYXX
CITATION
7XB
8FK
K9.
PQEST
PQUKI
PRINS
Q9U
7X8
AFGXO
5PM
ID FETCH-LOGICAL-c540t-38e31c64e4a673a135a429937c821245ec236fb1b31b3a03517629326aedf93e3
IEDL.DBID RPM
ISSN 2045-2322
IngestDate Fri Oct 04 13:10:14 EDT 2024
Tue Sep 17 20:46:25 EDT 2024
Fri Aug 16 08:48:31 EDT 2024
Thu Oct 10 22:53:32 EDT 2024
Fri Aug 23 01:24:14 EDT 2024
Sat Sep 28 08:21:14 EDT 2024
Fri Oct 11 20:45:14 EDT 2024
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 1
Language English
License 2022. The Author(s).
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c540t-38e31c64e4a673a135a429937c821245ec236fb1b31b3a03517629326aedf93e3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
OpenAccessLink https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8861156/
PMID 35190625
PQID 2630742836
PQPubID 2041939
PageCount 1
ParticipantIDs doaj_primary_oai_doaj_org_article_6fd0ae186f7848dda13167dd1abff5a7
pubmedcentral_primary_oai_pubmedcentral_nih_gov_8861156
proquest_miscellaneous_2631864482
proquest_journals_2630742836
crossref_primary_10_1038_s41598_022_06940_y
pubmed_primary_35190625
springer_journals_10_1038_s41598_022_06940_y
PublicationCentury 2000
PublicationDate 2022-02-21
PublicationDateYYYYMMDD 2022-02-21
PublicationDate_xml – month: 02
  year: 2022
  text: 2022-02-21
  day: 21
PublicationDecade 2020
PublicationPlace London
PublicationPlace_xml – name: London
– name: England
PublicationTitle Scientific reports
PublicationTitleAbbrev Sci Rep
PublicationTitleAlternate Sci Rep
PublicationYear 2022
Publisher Nature Publishing Group UK
Nature Publishing Group
Nature Portfolio
Publisher_xml – name: Nature Publishing Group UK
– name: Nature Publishing Group
– name: Nature Portfolio
References Liu, Schmid, Li, Zheng (CR9) 2021; 207
Noori (CR28) 2015; 29
Mawussi, Tapie (CR31) 2011; 61
Yang, Qiao, Na, Zhu, Wulan (CR32) 2018; 94
Rayyaan, Wang, Kennon (CR18) 2014; 2
CR14
Li, Wang (CR6) 2016; 04
Cunningham (CR29) 2009; 21
Farhan, Tolouei-Rad, Osseiran (CR24) 2017; 92
Shen (CR26) 2014; 543
Barao, De Vasconcelos, Rocha, Pereira (CR20) 2017; 37
Jia, Pan, Liu (CR27) 2012; 33
Mohamed, Masood, Bhowmik (CR3) 2015
Jayaram, Khan, Li, Yan, Elmasri (CR16) 2015; 27
Zhang, Romagnoli, Zhou, Kraft (CR21) 2017; 204
Lin, Chen (CR25) 2011; 11
Wang, Shen, Xie, Neelamkavil, Pardasani (CR1) 2002; 34
Rotmensch, Halpern, Tlimat, Horng, Sontag (CR10) 2017; 7
Wang, Mao, Wang, Guo (CR15) 2017; 29
Katia, Franca, Marina, Jean-Philippe (CR33) 2019; 112
CR5
Paulius, Sun (CR7) 2019; 118
Saorín, Pastor-Sánchez (CR12) 2018
Nkiaka, Taylor, Dougill, Antwi-Agyei, Warnaars (CR19) 2019; 14
Nickel, Murphy, Tresp, Gabrilovich (CR4) 2015; 104
Qiao, Qie, Zhu, Zhu, Zaman, Anwer (CR22) 2018; 94
Antoniou, Batsakis, Mutharaju, Pan, Qi, Tachmazidis, Urbani, Zhou (CR8) 2018; 33
Yoo, Jeong (CR13) 2019; 141
Ulonska, Welo (CR2) 2014; 2
Fathalla, Vahdati, Auer, Lange (CR11) 2017; 10450
Arenas, Grau, Kharlamov, Marciuska, Zheleznyakov (CR17) 2016; 37
Xue, Lai (CR23) 2016; 40
Meditskos, Bassiliades (CR30) 2010; 22
LH Qiao (6940_CR22) 2018; 94
B Yang (6940_CR32) 2018; 94
C Zhang (6940_CR21) 2017; 204
L Wang (6940_CR1) 2002; 34
N Jayaram (6940_CR16) 2015; 27
P Cunningham (6940_CR29) 2009; 21
D Paulius (6940_CR7) 2019; 118
OA Mohamed (6940_CR3) 2015
6940_CR14
J Liu (6940_CR9) 2021; 207
SW Lin (6940_CR25) 2011; 11
M Nickel (6940_CR4) 2015; 104
T Saorín (6940_CR12) 2018
S Fathalla (6940_CR11) 2017; 10450
SY Yoo (6940_CR13) 2019; 141
Q Wang (6940_CR15) 2017; 29
L Katia (6940_CR33) 2019; 112
R Rayyaan (6940_CR18) 2014; 2
S Ulonska (6940_CR2) 2014; 2
6940_CR5
G Antoniou (6940_CR8) 2018; 33
M Rotmensch (6940_CR10) 2017; 7
A Barao (6940_CR20) 2017; 37
KB Mawussi (6940_CR31) 2011; 61
Qi Shen (6940_CR26) 2014; 543
E Nkiaka (6940_CR19) 2019; 14
R Jia (6940_CR27) 2012; 33
MX Li (6940_CR6) 2016; 04
Y Xue (6940_CR23) 2016; 40
U Farhan (6940_CR24) 2017; 92
B Noori (6940_CR28) 2015; 29
G Meditskos (6940_CR30) 2010; 22
M Arenas (6940_CR17) 2016; 37
References_xml – volume: 29
  start-page: 1
  issue: 1
  year: 2015
  end-page: 32
  ident: CR28
  article-title: Developing a CBR system for marketing mix planning and weighting method selection using fuzzy AHP
  publication-title: Appl. Artif. Intell.
  doi: 10.1080/08839514.2014.962282
  contributor:
    fullname: Noori
– volume: 7
  start-page: 1
  issue: 1
  year: 2017
  end-page: 11
  ident: CR10
  article-title: Learning a health knowledge graph from electronic medical records
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-017-05778-z
  contributor:
    fullname: Sontag
– volume: 11
  start-page: 5042
  issue: 8
  year: 2011
  end-page: 5052
  ident: CR25
  article-title: Parameter tuning, feature selection and weight assignment of features for case-based reasoning by artificial immune system
  publication-title: Appl. Soft Comput.
  doi: 10.1016/j.asoc.2011.05.054
  contributor:
    fullname: Chen
– ident: CR14
– volume: 104
  start-page: 11
  issue: 1
  year: 2015
  end-page: 33
  ident: CR4
  article-title: A review of relational machine learning for knowledge graphs
  publication-title: Proc. IEEE
  doi: 10.1109/JPROC.2015.2483592
  contributor:
    fullname: Gabrilovich
– volume: 61
  start-page: 84
  issue: 1
  year: 2011
  end-page: 97
  ident: CR31
  article-title: A knowledge base model for complex forging die machining
  publication-title: Comput. Ind. Eng.
  doi: 10.1016/j.cie.2011.02.016
  contributor:
    fullname: Tapie
– volume: 34
  start-page: 981
  issue: 13
  year: 2002
  end-page: 996
  ident: CR1
  article-title: Collaborative conceptual design—state of the art and future trends
  publication-title: Comput. Aided Des.
  doi: 10.1016/S0010-4485(01)00157-9
  contributor:
    fullname: Pardasani
– volume: 92
  start-page: 2689
  issue: 5–8
  year: 2017
  end-page: 2703
  ident: CR24
  article-title: Indexing and retrieval using case-based reasoning in special purpose machine designs
  publication-title: Int. J. Adv. Manuf. Technol.
  doi: 10.1007/s00170-017-0274-5
  contributor:
    fullname: Osseiran
– year: 2018
  ident: CR12
  article-title: Wikidata and DBpedia: A journey to the center of a web of data
  publication-title: Anuario ThinkEPI
  doi: 10.3145/thinkepi.2018.31
  contributor:
    fullname: Pastor-Sánchez
– volume: 118
  start-page: 13
  year: 2019
  end-page: 30
  ident: CR7
  article-title: A survey of knowledge representation in service robotics
  publication-title: Robot. Auton. Syst.
  doi: 10.1016/j.robot.2019.03.005
  contributor:
    fullname: Sun
– volume: 2
  start-page: 97
  issue: 2
  year: 2014
  end-page: 105
  ident: CR18
  article-title: Ontology-based interoperability solutions for textile supply chain
  publication-title: Adv. Manuf.
  doi: 10.1007/s40436-014-0073-2
  contributor:
    fullname: Kennon
– volume: 29
  start-page: 2724
  issue: 12
  year: 2017
  end-page: 2743
  ident: CR15
  article-title: Knowledge graph embedding: A survey of approaches and applications
  publication-title: IEEE Trans. Knowl. Data Eng.
  doi: 10.1109/TKDE.2017.2754499
  contributor:
    fullname: Guo
– volume: 37
  start-page: 55
  year: 2016
  end-page: 74
  ident: CR17
  article-title: Faceted search over RDF-based knowledge graphs
  publication-title: Web Semant. Sci. Serv. Agents World Wide Web
  doi: 10.1016/j.websem.2015.12.002
  contributor:
    fullname: Zheleznyakov
– volume: 33
  start-page: 730
  issue: 6
  year: 2012
  end-page: 734
  ident: CR27
  article-title: Virtual enterprise partner selection based on a rough set theory and adaptive genetic algorithm
  publication-title: J. Harbin Eng. Univ.
  contributor:
    fullname: Liu
– volume: 207
  start-page: 107352
  year: 2021
  ident: CR9
  article-title: A knowledge graph-based approach for exploring railway operational accidents
  publication-title: Reliab. Eng. Syst. Saf.
  doi: 10.1016/j.ress.2020.107352
  contributor:
    fullname: Zheng
– volume: 94
  start-page: 4187
  issue: 9–12
  year: 2018
  end-page: 4197
  ident: CR22
  article-title: An ontology-based modelling and reasoning framework for assembly sequence planning
  publication-title: Int. J. Adv. Manuf. Technol.
  doi: 10.1007/s00170-017-1077-4
  contributor:
    fullname: Anwer
– volume: 94
  start-page: 1579
  issue: 5
  year: 2018
  end-page: 1596
  ident: CR32
  article-title: Manufacturing process information modeling using a metamodeling approach
  publication-title: Int. J. Adv. Manuf. Technol.
  doi: 10.1007/s00170-016-9979-0
  contributor:
    fullname: Wulan
– volume: 543
  start-page: 1827
  year: 2014
  end-page: 1831
  ident: CR26
  article-title: Optimization of CBR model utilizing genetic algorithm
  publication-title: Appl. Mech. Mater.
  doi: 10.4028/www.scientific.net/AMM.543-547.1827
  contributor:
    fullname: Shen
– volume: 40
  start-page: 1
  issue: 8
  year: 2016
  end-page: 13
  ident: CR23
  article-title: Integration of macro energy thinking and big data thinking part two applications and explorations
  publication-title: Autom. Electr. Power Syst.
  contributor:
    fullname: Lai
– volume: 33
  start-page: 1
  year: 2018
  end-page: 43
  ident: CR8
  article-title: A survey of large-scale reasoning on the Web of data
  publication-title: Knowl. Eng. Rev.
  doi: 10.1017/S0269888918000255
  contributor:
    fullname: Zhou
– volume: 141
  start-page: 112965
  year: 2019
  ident: CR13
  article-title: Automating the expansion of a Knowledge graph
  publication-title: Expert Syst. Appl.
  doi: 10.1016/j.eswa.2019.112965
  contributor:
    fullname: Jeong
– volume: 112
  start-page: 103111
  year: 2019
  end-page: 103111
  ident: CR33
  article-title: Content-based multi-criteria similarity assessment of CAD assembly models
  publication-title: Comput. Ind.
  doi: 10.1016/j.compind.2019.07.001
  contributor:
    fullname: Jean-Philippe
– volume: 10450
  start-page: 315
  year: 2017
  end-page: 327
  ident: CR11
  article-title: Towards a knowledge graph representing research findings by semantifying survey articles
  publication-title: Proc. Int. Conf. Theory Pract. Digit. Libr.
  doi: 10.1007/978-3-319-67008-9_25
  contributor:
    fullname: Lange
– volume: 27
  start-page: 2797
  issue: 10
  year: 2015
  end-page: 2811
  ident: CR16
  article-title: Querying knowledge graphs by example entity tuples
  publication-title: IEEE Trans. Knowl. Data Eng.
  doi: 10.1109/TKDE.2015.2426696
  contributor:
    fullname: Elmasri
– year: 2015
  ident: CR3
  article-title: Optimization of fused deposition modeling process parameters: A review of current research and future prospects
  publication-title: Adv. Manuf.
  doi: 10.1007/s40436-014-0097-7
  contributor:
    fullname: Bhowmik
– volume: 14
  issue: 12
  year: 2019
  ident: CR19
  article-title: Identifying user needs for weather and climate services to enhance resilience to climate shocks in sub-Saharan Africa
  publication-title: Environ. Res. Lett.
  doi: 10.1088/1748-9326/ab4dfe
  contributor:
    fullname: Warnaars
– volume: 37
  start-page: 735
  issue: 6
  year: 2017
  end-page: 740
  ident: CR20
  article-title: A knowledge management approach to capture organizational learning networks
  publication-title: Int. J. Inf. Manag.
  doi: 10.1016/j.ijinfomgt.2017.07.013
  contributor:
    fullname: Pereira
– ident: CR5
– volume: 2
  start-page: 179
  issue: 002
  year: 2014
  end-page: 191
  ident: CR2
  article-title: Product portfolio map: A visual tool for supporting product variant discovery and structuring
  publication-title: Adv. Manuf.
  doi: 10.1007/s40436-014-0077-yO
  contributor:
    fullname: Welo
– volume: 04
  start-page: 93
  year: 2016
  end-page: 101
  ident: CR6
  article-title: Research context and theme analysis of mapping knowledge domains in china in rencet ten years
  publication-title: Doc. Inf. Knowl.
  doi: 10.13366/j.dik.2016.04.093
  contributor:
    fullname: Wang
– volume: 204
  start-page: 1412
  year: 2017
  end-page: 1421
  ident: CR21
  article-title: Knowledge management of eco-industrial park for efficient energy utilization through ontology-based approach
  publication-title: Appl. Energy
  doi: 10.1016/j.apenergy.2017.03.130
  contributor:
    fullname: Kraft
– volume: 21
  start-page: 1532
  issue: 11
  year: 2009
  end-page: 1543
  ident: CR29
  article-title: A taxonomy of similarity mechanisms for case-based reasoning
  publication-title: IEEE Trans. Knowl. Data Eng.
  doi: 10.1109/TKDE.2008.227
  contributor:
    fullname: Cunningham
– volume: 22
  start-page: 278
  issue: 2
  year: 2010
  end-page: 290
  ident: CR30
  article-title: Structural and role-oriented web service discovery with taxonomies in OWL-S
  publication-title: IEEE Trans. Knowl. Data Eng.
  doi: 10.1109/TKDE.2009.89
  contributor:
    fullname: Bassiliades
– year: 2018
  ident: 6940_CR12
  publication-title: Anuario ThinkEPI
  doi: 10.3145/thinkepi.2018.31
  contributor:
    fullname: T Saorín
– volume: 543
  start-page: 1827
  year: 2014
  ident: 6940_CR26
  publication-title: Appl. Mech. Mater.
  doi: 10.4028/www.scientific.net/AMM.543-547.1827
  contributor:
    fullname: Qi Shen
– volume: 14
  issue: 12
  year: 2019
  ident: 6940_CR19
  publication-title: Environ. Res. Lett.
  doi: 10.1088/1748-9326/ab4dfe
  contributor:
    fullname: E Nkiaka
– volume: 04
  start-page: 93
  year: 2016
  ident: 6940_CR6
  publication-title: Doc. Inf. Knowl.
  doi: 10.13366/j.dik.2016.04.093
  contributor:
    fullname: MX Li
– volume: 37
  start-page: 735
  issue: 6
  year: 2017
  ident: 6940_CR20
  publication-title: Int. J. Inf. Manag.
  doi: 10.1016/j.ijinfomgt.2017.07.013
  contributor:
    fullname: A Barao
– volume: 37
  start-page: 55
  year: 2016
  ident: 6940_CR17
  publication-title: Web Semant. Sci. Serv. Agents World Wide Web
  doi: 10.1016/j.websem.2015.12.002
  contributor:
    fullname: M Arenas
– volume: 33
  start-page: 1
  year: 2018
  ident: 6940_CR8
  publication-title: Knowl. Eng. Rev.
  doi: 10.1017/S0269888918000255
  contributor:
    fullname: G Antoniou
– volume: 207
  start-page: 107352
  year: 2021
  ident: 6940_CR9
  publication-title: Reliab. Eng. Syst. Saf.
  doi: 10.1016/j.ress.2020.107352
  contributor:
    fullname: J Liu
– volume: 204
  start-page: 1412
  year: 2017
  ident: 6940_CR21
  publication-title: Appl. Energy
  doi: 10.1016/j.apenergy.2017.03.130
  contributor:
    fullname: C Zhang
– volume: 29
  start-page: 1
  issue: 1
  year: 2015
  ident: 6940_CR28
  publication-title: Appl. Artif. Intell.
  doi: 10.1080/08839514.2014.962282
  contributor:
    fullname: B Noori
– ident: 6940_CR14
– volume: 22
  start-page: 278
  issue: 2
  year: 2010
  ident: 6940_CR30
  publication-title: IEEE Trans. Knowl. Data Eng.
  doi: 10.1109/TKDE.2009.89
  contributor:
    fullname: G Meditskos
– volume: 7
  start-page: 1
  issue: 1
  year: 2017
  ident: 6940_CR10
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-017-05778-z
  contributor:
    fullname: M Rotmensch
– volume: 40
  start-page: 1
  issue: 8
  year: 2016
  ident: 6940_CR23
  publication-title: Autom. Electr. Power Syst.
  contributor:
    fullname: Y Xue
– volume: 92
  start-page: 2689
  issue: 5–8
  year: 2017
  ident: 6940_CR24
  publication-title: Int. J. Adv. Manuf. Technol.
  doi: 10.1007/s00170-017-0274-5
  contributor:
    fullname: U Farhan
– volume: 112
  start-page: 103111
  year: 2019
  ident: 6940_CR33
  publication-title: Comput. Ind.
  doi: 10.1016/j.compind.2019.07.001
  contributor:
    fullname: L Katia
– volume: 21
  start-page: 1532
  issue: 11
  year: 2009
  ident: 6940_CR29
  publication-title: IEEE Trans. Knowl. Data Eng.
  doi: 10.1109/TKDE.2008.227
  contributor:
    fullname: P Cunningham
– volume: 94
  start-page: 1579
  issue: 5
  year: 2018
  ident: 6940_CR32
  publication-title: Int. J. Adv. Manuf. Technol.
  doi: 10.1007/s00170-016-9979-0
  contributor:
    fullname: B Yang
– volume: 27
  start-page: 2797
  issue: 10
  year: 2015
  ident: 6940_CR16
  publication-title: IEEE Trans. Knowl. Data Eng.
  doi: 10.1109/TKDE.2015.2426696
  contributor:
    fullname: N Jayaram
– volume: 11
  start-page: 5042
  issue: 8
  year: 2011
  ident: 6940_CR25
  publication-title: Appl. Soft Comput.
  doi: 10.1016/j.asoc.2011.05.054
  contributor:
    fullname: SW Lin
– ident: 6940_CR5
– volume: 2
  start-page: 97
  issue: 2
  year: 2014
  ident: 6940_CR18
  publication-title: Adv. Manuf.
  doi: 10.1007/s40436-014-0073-2
  contributor:
    fullname: R Rayyaan
– volume: 10450
  start-page: 315
  year: 2017
  ident: 6940_CR11
  publication-title: Proc. Int. Conf. Theory Pract. Digit. Libr.
  doi: 10.1007/978-3-319-67008-9_25
  contributor:
    fullname: S Fathalla
– year: 2015
  ident: 6940_CR3
  publication-title: Adv. Manuf.
  doi: 10.1007/s40436-014-0097-7
  contributor:
    fullname: OA Mohamed
– volume: 104
  start-page: 11
  issue: 1
  year: 2015
  ident: 6940_CR4
  publication-title: Proc. IEEE
  doi: 10.1109/JPROC.2015.2483592
  contributor:
    fullname: M Nickel
– volume: 118
  start-page: 13
  year: 2019
  ident: 6940_CR7
  publication-title: Robot. Auton. Syst.
  doi: 10.1016/j.robot.2019.03.005
  contributor:
    fullname: D Paulius
– volume: 94
  start-page: 4187
  issue: 9–12
  year: 2018
  ident: 6940_CR22
  publication-title: Int. J. Adv. Manuf. Technol.
  doi: 10.1007/s00170-017-1077-4
  contributor:
    fullname: LH Qiao
– volume: 141
  start-page: 112965
  year: 2019
  ident: 6940_CR13
  publication-title: Expert Syst. Appl.
  doi: 10.1016/j.eswa.2019.112965
  contributor:
    fullname: SY Yoo
– volume: 61
  start-page: 84
  issue: 1
  year: 2011
  ident: 6940_CR31
  publication-title: Comput. Ind. Eng.
  doi: 10.1016/j.cie.2011.02.016
  contributor:
    fullname: KB Mawussi
– volume: 2
  start-page: 179
  issue: 002
  year: 2014
  ident: 6940_CR2
  publication-title: Adv. Manuf.
  doi: 10.1007/s40436-014-0077-yO
  contributor:
    fullname: S Ulonska
– volume: 29
  start-page: 2724
  issue: 12
  year: 2017
  ident: 6940_CR15
  publication-title: IEEE Trans. Knowl. Data Eng.
  doi: 10.1109/TKDE.2017.2754499
  contributor:
    fullname: Q Wang
– volume: 34
  start-page: 981
  issue: 13
  year: 2002
  ident: 6940_CR1
  publication-title: Comput. Aided Des.
  doi: 10.1016/S0010-4485(01)00157-9
  contributor:
    fullname: L Wang
– volume: 33
  start-page: 730
  issue: 6
  year: 2012
  ident: 6940_CR27
  publication-title: J. Harbin Eng. Univ.
  contributor:
    fullname: R Jia
SSID ssj0000529419
Score 2.446235
Snippet In the process design and reuse of marine component products, there are a lot of heterogeneous models, causing the problem that the process knowledge and...
Abstract In the process design and reuse of marine component products, there are a lot of heterogeneous models, causing the problem that the process knowledge...
Abstract In the process design and reuse of marine component products, there are a lot of heterogeneous models, causing the problem that the process knowledge...
SourceID doaj
pubmedcentral
proquest
crossref
pubmed
springer
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
Publisher
StartPage 2911
SubjectTerms 639/166/988
639/705/117
Design
Humanities and Social Sciences
Intelligence
Knowledge
multidisciplinary
Science
Science (multidisciplinary)
Semantics
SummonAdditionalLinks – databaseName: DOAJ Directory of Open Access Journals
  dbid: DOA
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1La9wwEB5KINBL6btu06BCb62I9bAsH5OQEArtqYHchJ6kF2-pN4f99xlJXne3D3op-GQLWczDM-OZ-QbgfWi175V1tB2CoLJ3LXUyceqUj8xJEb3I_c6fv6ira_npprvZGfWVa8IqPHAl3IlKobWRaZV6LXUIluXe7RCYdSl1tvaRs24nmKqo3nyQbJi7ZFqhTya0VLmbDGOv3OvZ0s2eJSqA_X_yMn8vlvwlY1oM0eVjeDR7kOS0nvwJPIjjUzisMyU3z8DOpf9k-VtGCig1KTNvcEeywLZOxI6B7KSwSZ0nPRH0ZEku4yK3uVpmhUIWV3dT3WJ6DteXF1_Pr-g8R4F69MfWVOgomFcySqt6gQTsbLZCovcaDZfsoudCJcecwMvm1CJ-IbNfZ2NIg4jiBRyMqzG-AiId8-gjKKZUlC5ru04-uK7reUoDsw182NLUfK9wGaakuYU2lQMGOWAKB8ymgbNM9mVlhrouN1AAzCwA5l8C0MDRlmlm1r_JcCVy0K-FauDd8hg1J6dDbKFZXoO7YnjKG3hZebycJI8tbDE0bKDf4_7eUfefjN9uCzq31grlEd_7cSsnP4_1d1K8_h-keAMPeRFwTjk7goP1j7v4Fn2mtTsu6nEPtsUVmg
  priority: 102
  providerName: Directory of Open Access Journals
– databaseName: ProQuest Central
  dbid: BENPR
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfR3JbtUw0IJWSFwQLVugRUbiBlbj2HH8ToiiVlUlKoSo1JvllfaSlOb18P6eGccv5bFJOcWWM5nFM_ZshLwNtfadso7ViyCY7FzNnEwNc8pH7qSIXmC-8-czdXIuTy_ai3LhNpawyvWemDfqMHi8Iz9olMBjnBbqw_UPhl2j0LtaWmjcJ9sNl-im3T48Ovvydb5lQT-W5IuSLVMLfTCCxsKsMjiDYc5nzVYbGikX7v-btfln0ORvntOskI4fk0fFkqQfJ9LvkHux3yUPpt6SqyfElhQAOt-a0VycmubeN7Aincu3jtT2gf7iyqZTX-mRgkVLMZyLXmLUzADMFofbcVpifErOj4--fTphpZ8C82CXLZnQUXCvZJRWdcJy0VrURqLzGhSYbKNvhEqOOwGPRRcj7JRo39kY0kJE8Yxs9UMfXxAqHfdgKyiuVJQOpV4nH1zbdk1KC24r8m6NU3M9lc0w2d0ttJkoYIACJlPArCpyiGifZ2LJ6_xiuPluigQZlUJtI9cqdVrqEAB-rroQuHUptbaryN6aaKbI4WjuuKYib-ZhkCB0i9iMM5wDq8IxtanI84nGMyTYvrCGI2JFug3qb4C6OdJfXeYq3VorsLbhu-_XfHIH1r9R8fL_f_GKPGwy6zas4Xtka3lzG_fBKlq614X1fwLLUw06
  priority: 102
  providerName: ProQuest
– databaseName: Scholars Portal Open Access Journals
  dbid: M48
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3NaxUxEB9qRfAirZ9rq0Twpqubj02yBxErliLUkw96C8kmsQXZp29fwfffO8l-6NPnTdjTJpsNM5PMbzKZGYDnvtKtktaVVeN5KZSrSiciK51sA3WCh5aneOfzT_JsIT5e1Bd7MJU7GgnY7zTtUj2pxerrqx_fN29xwb8ZQsb16x6VUAoUQ7MqhXFW5eYG3GSCiyTx5yPcH3J9s0bQZoyd2f3pln7Kafx3Yc-_r1D-4UfN6un0AO6MuJK8GwThEPZCdxduDZUmN_fAjgEBZD5DIzlVNcmVcHBEMidz7YntPPnNsU2GKtM9QXxL0uUucpnu0CxR9MLyuh-G6O_D4vTD5_dn5VhdoWwRpa1LrgOnrRRBWKm4pby2STdx1WpUZ6IOLeMyOuo4PjY5HHHfTGjPBh8bHvgD2O-WXXgERDjaInKQVMogXNoDdGy9q2vFYmyoLeDFRFPzbUiiYbLzm2szcMAgB0zmgNkUcJLIPvdMCbDzi-XqixnXk5HRVzZQLaPSQnuP86dSeU-ti7G2qoDjiWlmEirDJE9HAZrLAp7NzbiekpPEZpqlPjgqGq2sgIcDj-eZpGKGFRqMBagt7m9Ndbulu7rMObu1loi98b8vJzn5Na1_k-Lx_yDFEdxmWcBZyegx7K9X1-EJIqm1e5qXx0_jLBz3
  priority: 102
  providerName: Scholars Portal
– databaseName: Springer Open Access
  dbid: C6C
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlR3LbtQwcARFSFxQeactyEjcICKOHdt7LCuqCglOVOrN8lPlkkVke9i_Z8bJpg2UA1JOieOM5pGZ8bwA3sXGBK2cr5tVFLXUvqm9zG3tVUjcS5GCoHrnr9_U-YX8ctldTm1yqBZmEb8X5uOACoaKwNBlohLNpt7dhwcdVw1x8Fqt5_MUilhJvprqYu5-daF7Sov-u-zKv9Mj_4iRFtVzdgiPJ5uRnY5EfgL3Uv8UHo5TJHfPwE3J_mw-H2OlDTUrU25wRzY3ah2Y6yO7FbRm4wTpgaHtyihxi11RfswG2Sptrodxi-E5XJx9_r4-r6fJCXVAC2xbC5MED0om6ZQWjovOkd4ROhhUVbJLoRUqe-4FXo6CifhPJEvOpZhXIokXcNBv-vQKmPQ8oFWguFJJepJvk0P0XafbnFfcVfB-j1P7c2yQYUtgWxg7UsAiBWyhgN1V8InQPq-k5tblBtLcTrJiVY6NS9yorI00MSL8XOkYufM5d05XcLInmp0kbrCtEuTmG6EqeDs_RlmhAIgrOKM1uCs6pG0FL0caz5DQoMIGncEK9IL6C1CXT_ofV6UftzEK7Wr87oc9n9yA9W9UHP3f8mN41BZWbuuWn8DB9td1eo320Na_KYLwG6XuBU0
  priority: 102
  providerName: Springer Nature
Title Process knowledge graph modeling techniques and application methods for ship heterogeneous models
URI https://link.springer.com/article/10.1038/s41598-022-06940-y
https://www.ncbi.nlm.nih.gov/pubmed/35190625
https://www.proquest.com/docview/2630742836
https://search.proquest.com/docview/2631864482
https://pubmed.ncbi.nlm.nih.gov/PMC8861156
https://doaj.org/article/6fd0ae186f7848dda13167dd1abff5a7
Volume 12
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnR3LatwwcEhSWnIJfddpuqjQW-usZcmSfGyWhFDYEEoDezOSLDWBxhvizWH_viP50d0-LgVjsCXkQTPjmdG8AD7UmbJSaJNmZc1SLk2WGu7z1AjrqOHMWRbynecX4vyKf1kUix0ohlyYGLRvzc1x8-P2uLm5jrGVd7d2OsSJTS_nM6UEKjJiugu7krENE70r6J2XnJZ9gkzG1LRFIRUSydDsCmmeWbrehyehMV0mQofsDXkUy_b_Tdf8M2TyN79pFEdnT-Gg1yPJ5w7eZ7DjmufwuOssuX4Buk8AIOOZGYmlqUnsfIMrkrF4a0t0U5MNRzbpukq3BPVZEoK5yHWImVkiqbnlQ9st0b6Eq7PTb7PztO-mkFrUylYpU45RK7jjWkimKSt0kEVMWoXiixfO5kx4Qw3DSwcHI_4ng3anXe1L5tgr2GuWjXsDhBtqUVMQVAjHTeB55W1tikLm3pdUJ_Bx2NPqriuaUUVnN1NVh4wKkVFFZFTrBE7Cto8zQ8Hr-GJ5_73q0V4JX2faUSW8VFzVNcJPhaxrqo33hZYJHA1Iq3oubKtcsGD6KyYSeD8OI_8Ep4iOexbm4KpopOYJvO5wPEIy0EgCcgv7W6BujyDJxhrdPYkm8Gmgk19g_XsrDv_7Q29hP48Enqc5PYK91f2De4fq0spMkEkWcgKPTk4vLr_i00zMJvHoAe9zriaRfX4CXXYaAw
link.rule.ids 230,315,733,786,790,870,891,2115,12083,21416,24346,27955,27956,31752,31753,33777,33778,41153,42222,43343,43838,51609,53825,53827,74100,74657
linkProvider National Library of Medicine
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfR3LbtQwcARbIbgg3gQKGIkbWI1jx_GeEEWtFmhXCLVSb5Yd2y2XTdtsD_v39TjelOUl5RRbzmQenrHnBfDOlaptpLG0nDpORWNLakWoqJWtZ1Zw33LMdz6cy9mx-HpSn-QLtz6HVa73xLRRu67FO_KdSnI8xikuP55fUOwahd7V3ELjNmxhyU01ga3dvfn3H-MtC_qxBJvmbJmSq50-aizMKotnMMz5LOlqQyOlwv1_szb_DJr8zXOaFNL-A7ifLUnyaSD9Q7jlF4_gztBbcvUYTE4BIOOtGUnFqUnqfRNXJGP51p6YhSO_uLLJ0Fe6J9GiJRjORc4waqaLzOa7q35Yon8Cx_t7R59nNPdToG20y5aUK89ZK4UXRjbcMF4b1Ea8aVVUYKL2bcVlsMzy-Bh0McadEu07412Ycs-fwmTRLfxzIMKyNtoKkknphUWpV6F1tq6bKoQpMwW8X-NUnw9lM3Ryd3OlBwroSAGdKKBXBewi2seZWPI6veguT3WWIC2DK41nSoZGCeVchJ_JxjlmbAi1aQrYXhNNZzns9Q3XFPB2HI4ShG4Rk3CGc-Kq8ZhaFfBsoPEICbYvLOMRsYBmg_oboG6OLH6epSrdSslobcfvfljzyQ1Y_0bFi___xRu4Ozs6PNAHX-bfXsK9KrFxRSu2DZPl5ZV_FS2kpX2dxeAarngQMA
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfR3JbtQw1IJWIC6InUABI3EDa-LYsT0nRKGjso0qRKXeLK-US1Ka6WH-nmfHkzJsUk6x5Thv8XvPb0Poha-Vk8JYUs89I1zamlgeG2KFC9RyFhxL-c6fl-LwmH84aU9K_NNQwio3Z2I-qH3v0h35rBEsmXGKiVksYRFH7xavz36Q1EEqeVpLO42raFdy0YIhtrt_sDz6Mt24JJ8Wp_OSOVMzNRtAeqUMM7DHUv5nTdZb0ikX8f-b5vlnAOVvXtQsnBa30M2iVeI3IxncRldCdwddG_tMru8iU9IB8HSDhnOhapz74MCKeCrlOmDTefyLWxuPPaYHDNotTqFd-DRF0PRAeKG_GMYlhnvoeHHw9e0hKb0ViAMdbUWYCow6wQM3QjJDWWuSZGLSKRBmvA2uYSJaahk8Jrkb4dRMup4JPs5ZYPfRTtd34SHC3FIHeoOgQgRu0wmgovO2bWUT45yaCr3cwFSfjSU0dHZ9M6VHDGjAgM4Y0OsK7SewTzNT-ev8oj__pgs3aRF9bQJVIkrFlfewfyqk99TYGFsjK7S3QZouPDnoSwqq0PNpGLgpuUhMhlmaA6uCydpU6MGI42knqZVhDeZiheQW9re2uj3SfT_NFbuVEqB5w3dfbejkclv_BsWj___FM3QdOEB_er_8-BjdaDIVN6She2hndX4RnoCytLJPCxf8BHM4FGQ
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Process+knowledge+graph+modeling+techniques+and+application+methods+for+ship+heterogeneous+models&rft.jtitle=Scientific+reports&rft.au=Jianwei+Dong&rft.au=Xuwen+Jing&rft.au=Xiang+Lu&rft.au=Jinfeng+Liu&rft.date=2022-02-21&rft.pub=Nature+Portfolio&rft.eissn=2045-2322&rft.volume=12&rft.issue=1&rft.spage=1&rft.epage=14&rft_id=info:doi/10.1038%2Fs41598-022-06940-y&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_6fd0ae186f7848dda13167dd1abff5a7
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2045-2322&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2045-2322&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2045-2322&client=summon