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Knowledge Graph Construction and Rule Matching Approach for Aerospace Product Manufacturability Assessment

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摘要 After the design of aerospace products is completed,a manufacturability assessment needs to be conducted based on 3D model's features in terms of modeling quality and process design,otherwise the cost of design changes will increase.Due to the poor structure and low reusability of product manufacturing feature information and assessment knowledge in the current aerospace product manufacturability assessment process,it is difficult to realize automated manufacturability assessment.To address these issues,a domain ontology model is established for aerospace product manufacturability assessment in this paper.On this basis,a structured representation method of manufacturability assessment knowledge and a knowledge graph data layer construction method are proposed.Based on the semantic information and association information expressed by the knowledge graph,a rule matching method based on subgraph matching is proposed to improve the precision and recall.Finally,applications and experiments based on the software platform verify the effectiveness of the proposed knowledge graph construction and rule matching method.
出处 《Journal of Harbin Institute of Technology(New Series)》 2025年第1期1-14,共14页 哈尔滨工业大学学报(英文版)
基金 Sponsored by the National Key Research and Development Program from Ministry of Science and Technology of the People's Republic of China (Grant No.2020YFB1711403)。
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  • 1Lin W L, Lo C C, Chao K M, et al. Consumer-centric QoS-aware selection of web services. Journal of Computer and System Sciences, 2008, 74 (2) : 211-231.
  • 2Kritikos K, Plexousakis D. Semantic QoS metric matching. Proceedings of the European Conference on Web Services. Chicago : IEEE Computer Society, 2006. 265-274.
  • 3Tran V X, Tsuji H, Masuda R. A new QoS ontology and its QoS-based ranking algorithm for Web services. Journal of Simulation Modelling Practice and Theory, 2009, 17 (8) : 1378-1398.
  • 4Keskes N, Lehireche A, Rahmoun A. Web services selection based on context ontology and quality of services. International Arab Journal of e-Technology, 2010, 1 ( 3 ) : 98-104.
  • 5Sycara K. OWL-S 1.0 Release. OWL-S Coalition, 2003. http ://www. daml. org/services/owls/1.0/.
  • 6Frolund S, Koisten J. QML: A Language for Quality of Service Specification. HP Labs Teehnical Reports, 1998. www.hpl.hp.corn/teehreports/1981 HPL-98-10.pdf.
  • 7Ludwid H. Web Service Level Agreement Language (WSLA) Specification, 2003. http://www, research, ibm. com/wsla/WSLASpeeV 1-20030128.
  • 8Sahai A, Durante A, Machiraju V. Towards Automated SLA Management for Web Services. HP Laboratories Palo Alto, 2002. http ://www. hpl. hp. com/techreports/2001/ HPL-2001-31Rl.pdf.
  • 9Tosic V, Patel K, Pagurek B. WSOL: Web service offerings language. Web Services, E-Business, and the Semantic Web. London: Springer-Verlag, 2003, 2512: 57-67.
  • 10Paolucci M, Kawamura T, Tent R, et al. Semantic matching of web services capabilities. Proceedings of theFirst International Semantic Web Conference (ISWC). London : Springer-Verlag, 2002, 2342:333-347.

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