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...
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Published in | Scientific reports Vol. 12; no. 1; p. 2911 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
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Nature Publishing Group UK
21.02.2022
Nature Publishing Group Nature Portfolio |
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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. |
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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 |
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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 |
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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. 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Title | Process knowledge graph modeling techniques and application methods for ship heterogeneous models |
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