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Design Knowledge Representation with Technology Semantic Network (2012.15518v1)

Published 31 Dec 2020 in cs.IR

Abstract: Engineers often need to discover and learn designs from unfamiliar domains for inspiration or other particular uses. However, the complexity of the technical design descriptions and the unfamiliarity to the domain make it hard for engineers to comprehend the function, behavior, and structure of a design. To help engineers quickly understand a complex technical design description new to them, one approach is to represent it as a network graph of the design-related entities and their relations as an abstract summary of the design. While graph or network visualizations are widely adopted in the engineering design literature, the challenge remains in retrieving the design entities and deriving their relations. In this paper, we propose a network mapping method that is powered by Technology Semantic Network (TechNet). Through a case study, we showcase how TechNet's unique characteristic of being trained on a large technology-related data source advantages itself over common-sense knowledge bases, such as WordNet and ConceptNet, for design knowledge representation.

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References (45)
  1. Text Analysis for Constructing Design Representations. Artificial Intelligence in Design ’96, pages 21–38, 1996.
  2. Design Repositories: Engineering Design’s New Knowledge Base. IEEE Intelligent Systems and Their Applications, 15(3):48–55, 2000.
  3. A Text Mining Based Map of Engineering Design: Topics and their Trajectories Over Time. Proceedings of the Design Society: International Conference on Engineering Design, 1(1):2765–2774, 2019.
  4. Discovering Structure in Design Databases Through Functional and Surface Based Mapping. Journal of Mechanical Design, 135(3):031006, feb 2013.
  5. Topic Modeling and Sentiment Analysis of Social Media Data to Drive Experiential Redesign. pages 1–11, 2020.
  6. R Řehůřek and Petr Sojka. Software Framework for Topic Modelling with Large Corpora. In Proceedings of LREC 2010 workshop New Challenges, 2010.
  7. Semantics-Based Design Knowledge Annotation and Retrieval. In Volume 3: 25th Computers and Information in Engineering Conference, Parts A and B, pages 799–808. ASMEDC, jan 2005.
  8. Christiane Fellbaum. WordNet. In The Encyclopedia of Applied Linguistics. John Wiley & Sons, Inc., Hoboken, NJ, USA, nov 2012.
  9. Introduction to WordNet: An On-line Lexical Database *. International Journal of Lexicography, 3(4):235–244, 1990.
  10. Representing General Relational Knowledge in ConceptNet 5. In Proceedings of LREC 2012, pages 3679–3686, 2012.
  11. ConceptNet at SemEval-2017 Task 2: Extending Word Embeddings with Multilingual Relational Knowledge. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pages 85–89, Stroudsburg, PA, USA, apr 2017. Association for Computational Linguistics.
  12. ConceptNet 5.5: An Open Multilingual Graph of General Knowledge. In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), dec 2017.
  13. TechNet: Technology semantic network based on patent data. Expert Systems with Applications, 142, 2020.
  14. Indexing by latent semantic analysis. Journal of the American Society for Information Science, 41(6):391–407, sep 1990.
  15. Latent dirichlet allocation. Journal of machine Learning research, 3(Jan):993–1022, 2003.
  16. Recommending patents based on latent topics. Proceedings of the 7th ACM conference on Recommender systems - RecSys ’13, pages 395–398, 2013.
  17. A document analysis method for characterizing design team performance. Journal of Mechanical Design, Transactions of the ASME, 126(3):378–385, 2004.
  18. A Methodology for Creating Ontologies for Engineering Design. Journal of Computing and Information Science in Engineering, 7(2):132, 2007.
  19. The Function-Behaviour-Structure Ontology of Design. In An Anthology of Theories and Models of Design, pages 263–283. Springer London, London, 2014.
  20. Ontology-based design information extraction and retrieval. Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM, 21(2):137–154, 2007.
  21. A Data-Driven Text Mining and Semantic Network Analysis for Design Information Retrieval. Journal of Mechanical Design, 139(11):111402, 2017.
  22. Data-driven platform design: Patent data and function network analysis. Journal of Mechanical Design, Transactions of the ASME, 141(2):1–10, 2018.
  23. Design Concept Structures in Massive Group Ideation. In Volume 7: 28th International Conference on Design Theory and Methodology, number January 2017. American Society of Mechanical Engineers, aug 2016.
  24. InnoGPS for Data-Driven Exploration of Design Opportunities and Directions: The Case of Google Driverless Car Project. Journal of Mechanical Design, 139(11):111416, oct 2017.
  25. Computer-Aided Design Ideation Using InnoGPS. In Volume 2A: 45th Design Automation Conference, volume 2A-2019. American Society of Mechanical Engineers, aug 2019.
  26. Data-Driven Intelligence on Innovation and Competition: Patent Overlay Network Visualization and Analytics. Information Systems Management, 37(3):198–212, jul 2020.
  27. The novelty ‘sweet spot’ of invention. Design Science, 3:e21, nov 2017.
  28. Michael C. Pasqual and Olivier L. De Weck. Multilayer network model for analysis and management of change propagation. Research in Engineering Design, 23(4):305–328, 2012.
  29. A Network Approach to Define Modularity of Components in Complex Products. Journal of Mechanical Design, 129(11):1118–1129, nov 2007.
  30. Causality-based function network for identifying technological analogy. Expert Systems with Applications, 39(12):10607–10619, 2012.
  31. Using visual information analysis to explore complex patterns in the activity of designers. Design Studies, 35(1):1–28, 2014.
  32. Multifaceted assessment of ideation: using networks to link ideation and design activity. Journal of Engineering Design, 26(10-12):391–415, 2015.
  33. Computer-aided mind map generation via crowdsourcing and machine learning. Research in Engineering Design, 31(4):383–409, oct 2020.
  34. Machine Learning-Based Design Concept Evaluation. Journal of Mechanical Design, 142(3):1–15, 2020.
  35. Investigating a Mixed-Initiative Workflow for Digital Mind-Mapping. Journal of Mechanical Design, 142(10), 2020.
  36. IPOD: A large-scale industrial and professional occupation dataset. Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW, pages 323–328, 2020.
  37. Technology Knowledge Graph for Design Exploration: Application to Designing the Future of Flying Cars. In Volume 1: 39th Computers and Information in Engineering Conference, volume 1. American Society of Mechanical Engineers, aug 2019.
  38. An exploration-based approach to computationally supported design-by-analogy using D3. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, pages 1–14, may 2020.
  39. Starting from Patents to Find Inputs to the Problem Graph Model of IDM-TRIZ. Procedia Engineering, 131:150–161, 2015.
  40. Mining and Representing the Concept Space of Existing Ideas for Directed Ideation. Journal of Mechanical Design, 141(12):1–20, 2019.
  41. Visual Sensemaking of Massive Crowdsourced Data for Design Ideation. Proceedings of the Design Society: International Conference on Engineering Design, 1(1):409–418, 2019.
  42. The Product Space Conditions the Development of Nations. Science, 317(5837):482–487, jul 2007.
  43. Filtering patent maps for visualization of diversification paths of inventors and organizations. Journal of the Association for Information Science and Technology, 68(6):1551–1563, jun 2017.
  44. ForceAtlas2 , a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software. 9(6):1–12, 2014.
  45. WordNet :: Similarity - Measuring the Relatedness of Concepts. In AAAI, number 4, pages 25–29, 2004.
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