小叙本体在设计信息及知识管理中的应用

doi:10.3981/j.issn.1000-7857.2017.22.008

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摘要随着计算机辅助设计、加工、制造等应用的迅速发展，设计相关信息与知识管理面临信息量迅猛增长的挑战与机遇。其中，本体应用成为描述设计信息与知识的一种可行、有效及丰富的建模手段。本文通过回顾本体应用于设计工程领域的相关研究，对设计工程中基于本体的应用进行了整体分类，阐明了设计工程领域中本体应用的核心学术研究问题，并为后续相关的5项研究热点及未来发展方向提出了建议。

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	刘滢
	林顺聪
	陈泳

关键词 ：本体, 设计工程, 设计信息, 信息管理, 知识管理

Abstract：With the advent and rapid development of the computer-aided design, the process planning and the manufacturing in design, the ever-increasing amount of the design information poses both challenges and opportunities for an efficient information and knowledge management. The ontology provides a feasible, effective and rich information modeling concept. This paper reviewed the ontology applications in the design engineering. The applications of the ontology fall generally into five related research issues and future research developments are extensively discussed.

Key words： ontology design engineering design information information management knowledge management

收稿日期: 2017-08-15

作者简介: 刘滢,副教授,研究方向为设计信息学等,电子信箱:LiuY81@cardiff.ac.uk

引用本文:

刘滢, 林顺聪, 陈泳. 小叙本体在设计信息及知识管理中的应用[J]. 科技导报, 2017, 35(22): 65-70.
LIU Ying, LIM Soon Chong Johnson, CHEN Yong. A review of application of ontology in design information and knowledge management. Science & Technology Review, 2017, 35(22): 65-70.

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http://www.kjdb.org/CN/10.3981/j.issn.1000-7857.2017.22.008 或 http://www.kjdb.org/CN/Y2017/V35/I22/65

[1] Hicks B J, Culley S J, McMahon C A. A study of issues relating to information management across engineering SMEs[J]. International Journal of Information Management, 2006, 26(4):267-289.
[2] Court A W, Ullman D G, Culley S J. A comparison between the provision of information to engineering designers in the UK and the USA[J]. International Journal of Information Management, 1998, 18(6):409-425.
[3] Ahmed S, Wallace K M. Understanding the knowledge needs of novice designers in the aerospace industry[J]. Design Studies, 2004, 25(2):155-173.
[4] Kitamura Y, Washio N, Koji Y, et al. An ontology-based annotation framework for representing the functionality of engineering devices[C]. Proceedings of the ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE), 2006:1-10.
[5] Li Z, Ramani K. Ontology-based design information extraction and retrieval[J]. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 2007, 21(2):137-154.
[6] Catalano C E, Giannini F, Monti M, et al. A framework for the automatic annotation of car aesthetics[J]. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 2007, 21(1):73-90.
[7] Grosse I R, Milton-Benoit J M, Wileden J C. Ontologies for supporting engineering analysis models[J]. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 2005, 19(1):1-18.
[8] Witherell P, Krishnamurty S, Grosse I R. Ontologies for supporting engineering design optimization[J]. Journal of Computing and Information Science in Engineering, 2007, 7(2):141-150.
[9] Lim S C J, Liu Y, Lee W B. Multi-facet product information search and retrieval using semantically annotated product family ontology[J]. Information Processing & Management, 2009, 46(4):479-493.
[10] Chen Y, et al. Toward a scientific ontology based concept of function[J]. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 2013. 27(3):241-248.
[11] Chen Y, Zhao M, Xie Y B, et al. A new model of conceptual design based on Scientific Ontology and intentionality theory. Part I:The conceptual foundation[J]. Design Studies, 2015, 37(Suppl C):12-36.
[12] Huang M, Sui S, Mou W, et al. Three-dimensional CAD model retrieval algorithm based on ontology[J]. Procedia CIRP, 2016, 56(Suppl C):590-593.
[13] Qin F, Gao S, Yang X, et al. An ontology-based semantic retrieval approach for heterogeneous 3D CAD models[J]. Advanced Engineering Informatics, 2016, 30(4):751-768.
[14] Soininen T, Tiihonen J, Männistö T, et al. Towards a general ontology of configuration[J]. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 1998, 12(4):357-372.
[15] McGuinness D L, Wright J R. Conceptual modelling for configuration:A description logic-based approach[J]. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 1998, 12(4):333-344.
[16] Yang D, Dong M, Miao R. Development of a product configuration system with an ontology-based approach[J]. Computer-Aided Design, 2008, 40(8):863-878.
[17] Nanda J, Simpson T W, Kumara S, et al. A methodology for product family ontology development using formal concept analysis and web ontology language[J]. Journal of Computing and Information Science in Engineering, 2006, 6(2):103-113.
[18] Liu Y, Lim S C J, Lee W B. Product Family Design through ontologybased faceted component analysis, selection and optimization[J]. Journal of Mechanical Design, 2013, 135:103-113.
[19] Dartigues C, Ghodous P, Gruninger M, et al. CAD/CAPP integration using feature ontology[J]. Concurrent Engineering, 2007. 15(2):237-249.
[20] Oh S C, Yee S T. Manufacturing interoperability using a semantic mediation[J]. The International Journal of Advanced Manufacturing Technology, 2008, 39(1):199-210.
[21] Lin H K, Harding J A, Shahbaz M. Manufacturing system engineering ontology for semantic interoperability across extended project teams[J]. International Journal of Production Research, 2004, 42(24):5099-5118.
[22] Cho J, Han S, Kim H. Meta-ontology for automated information integration of parts libraries[J]. Computer-Aided Design, 2006, 38(7):713-725.
[23] Bellatreche L, Dung N X, Pierra G, et al. Contribution of ontologybased data modeling to automatic integration of electronic catalogues within engineering databases[J]. Computers in Industry, 2006, 57(8-9):711-724.
[24] Ye Y, Yang D, Jiang Z B, et al. An ontology-based architecture for implementing semantic integration of supply chain management[J]. International Journal of Computer Integrated Manufacturing, 2008, 21(1):1-18.
[25] Zhao W, Liu J K. OWL/SWRL representation methodology for EXPRESS-driven product information model:Part I. Implementation methodology[J]. Computers in Industry, 2008, 59(6):580-589.
[26] Palmer C, Urwin E N, Pinazo-Sánchez J M, et al. Reference ontologies to support the development of global production network systems[J]. Computers in Industry, 2016, 77(Suppl C):48-60.
[27] Lim S C J, Liu Y, Lee W B. A methodology for building a semantically annotated multi-faceted ontology for product family modelling[J]. Advanced Engineering Informatics, 2011, 25(2):147-161.
[28] Maedche A, Volz R. The ontology extraction and maintenance framework text-to-onto[C]. Proceedings of the 2001 IEEE International Conference on Data Mining, 2001.
[29] Navigli R. Consistent validation of manual and automatic sense annotations with the aid of semantic graphs[J]. Computational Linguistics, 2006, 32(2):273-281.
[30] Draicchio F, Gangemi A, Presutti V, et al. FRED:From Natural Language Text to RDF and OWL in One Click[M]. Hutchison D, Kanade T, Kittler J, et al. The Semantic Web:ESWC 2013. Lecture Notes in Computer Science. Berlin, Heidelberg:Springer, 2013:263-267.
[31] Kang Y B, Delir Haghighi P, Burstein F. CFinder:An intelligent key concept finder from text for ontology development[J]. Expert Systems with Applications, 2014, 41(9):4494-4504.
[32] Choi N, Song I Y, Han H. A survey on ontology mapping[J]. SIGMOD Rec, 2006. 35(3):34-41.
[33] Pinkel C, Binnig C, Jiménez-Ruiz E, et al. RODI:A benchmark for automatic mapping generation in relational-to-ontology data integration[C]. Gandon F, Sabou M, Sack H, et al. The semantic web:Latest advances and new domains:Proceedings of 12th European Semantic Web Conference, ESWC 2015. Portoroz, 2015:21-37.
[34] Yan W, Liu H, Zanni-Merk C, et al. IngeniousTRIZ:An automatic ontology-based system for solving inventive problems[J]. KnowledgeBased Systems, 2015, 75(Suppl C):52-65.
[35] Vegetti M, Roldánet L, Gonnet S, et al. A framework to represent, capture, and trace ontology development processes[J]. Engineering Applications of Artificial Intelligence, 2016, 56(Suppl C):230-249.
[36] Balakirsky S. Ontology based action planning and verification for agile manufacturing[J]. Robotics and Computer-Integrated Manufacturing, 2015, 33(Suppl C):21-28.
[37] Hong H, Yin Y. Ontology-based conceptual design for ultra-precision hydrostatic guideways with human-machine interaction[J]. Journal of Industrial Information Integration, 2016, 2(Suppl C):11-18.
[38] Horridge M, Noy N F, Musen M A, et al. WebProtégé:A collaborative Web-based platform for editing biomedical ontologies[J]. Bioinformatics, 2014, 30(16):2384-2385.
[39] Ghidini C, Rospocher M, Serafini L. MoKi:A wiki-based conceptual modeling tool[C]. Proceedings of the 2010 International Semantic Web Conference on Posters & Demonstrations Track Volume 658, 2010:77-80.
[40] Schober D, Tudose I, Svatek V, et al. OntoCheck:Verifying ontology naming conventions and metadata completeness in Protégé 4[J]. Journal of Biomedical Semantics, 2012, 3(2):S4.
[41] María P-V, Asunción G-P, Mari Carmen S-F. OOPS! (Ontology pitfall scanner!):An on-line tool for ontology evaluation[J]. International Journal on Semantic Web and Information Systems, 2014, 10(2):7-34.
[42] Lohmann S, Negru S, Bold D et al. The ProtégéVOWL Plugin:Ontology visualization for everyone[M]. Presutti V, Blomqvist E, Troncy R. Lecture Notes in Computer Science. Greece:Springer International Publishing, 2014, 8798:395-400.
[43] Lohmann S, Link V, Marbach, et al. WebVOWL:Web-based visualization of ontologies[M]. Knowledge engineering and knowledge management:EKAW 2014 Satellite Events, VISUAL, EKM1, and ARCOE-Logic, Cham:Springer, 2014:154-158.
[44] Lim S C J, Loh H T, Liu Y, User interface design for interactive product family analysis and variant derivation[C]. Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference(IDETC/CIE), Montreal, 2010, 1-10.