Int J Performability Eng ›› 2020, Vol. 16 ›› Issue (5): 800-810.doi: 10.23940/ijpe.20.05.p14.800810
• Orginal Article • Previous Articles Next Articles
Delin Jinga, Yingchun Tianb*(), Chi Zhangc, Changchun Yanga, and Hongji Yangd
Submitted on
;
Revised on
;
Accepted on
Contact:
Yingchun Tian
E-mail:tianyc@cczu.edu.cn
About author:
Yingchun Tian received her BSc degree from the School of Software Engineering, Northeast Normal University, China in 2007 and her MSc and PhD degrees from the School of Technology, De Montfort University, UK in 2008 and 2012, respectively. She was a research associate at Loughborough University, UK in 2012. She has been a lecturer at Changzhou University since 2017. Her research interests include knowledge representation and reasoning, software engineering, and system-of-systems.Delin Jing, Yingchun Tian, Chi Zhang, Changchun Yang, and Hongji Yang. Knowledge-based Semantic Reasoning for Creativity [J]. Int J Performability Eng, 2020, 16(5): 800-810.
Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks
Table 1
Atomic Operations"
Atomic Operation | Description |
---|---|
Relation Search | Search following roles that work as relations among concepts in domain. |
Associate | Associate two concepts with a role works as relationship. |
Analogies | Look for similar concepts or roles. |
Perspective Change | Look for different concepts, different domains, or both. |
Force Fit | Force unrelated roles fit into concepts. |
1. | J. Goldenberg, D. Mazursky,S. Solomon, “Creative Sparks,”Science, Vol. 285, pp. 1495-1496, 1999 |
2. | J. Chan, S. P. Dow,C. D. Schunn, “Do the Best Design Ideas (Really) come from Conceptually Distant Sources of Inspiration?”Design Studies, Vol. 36, pp. 31-58, 2015 |
3. | C. M. Chang, “Engaging the Creative Minds: the ENGAGE Models,” inProceedings of the Portland International Conference on Management of Engineering and Technology, pp. 529-539, 2007 |
4. | S. Majaro, “Managing Ideas for Profit: the Creative Gap (Marketing for Professionals),” McGraw-Hill, London, 1991 |
5. | J. P. Guilford, “Creativity,” American Psychologist, Vol. 5, No. 9, pp. 444-454, 1950 |
6. | A. Hugill, “Creative Computing Processes: Musical Composition,” inProceedings of the IEEE 8th International Symposium on Service Oriented System Engineering, pp. 459-464, 1882 |
7. | A. Koestler, “The Act of Creation,” Hutchinson, London, 1964 |
8. | D. N. Perkins, “The Mind's Best Work,” Harvard University Press, Cambridge, MA, 1981 |
9. | A. F. Osborn, “Applied Imagination: Principles and Procedures of Creative Problem-Solving,” 3rd Edition, Charles Scribner's Sons, New York, 1979 |
10. | R. O.Briggs and B. A. Reinig, “Bounded Ideation Theory: A New Model of the Relationship between Idea-Quantity and Idea-Quality During Ideation,” inProceedings of the 40th Hawaii International Conference on System Sciences, pp. 1-10, 2007 |
11. | S. Yuan and Y. Chen, “Semantic Ideation Learning for Agent-Based E-Brainstorming,” IEEE Transactions on Knowledge and Data Engineering, Vol. 20, No. 2, pp. 261-275, 2008 |
12. | U. A.Jogalekar and A. Mangla, “Idea Generation Algorithm based Systems,” inProceedings of the 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT), pp. 14-17, July 2010 |
13. | V. Kennel, R. R. Palmon,G. D. Vreede, “Creativity in Teams: An Examination of Team Accuracy in the Idea Evaluation And Selection Process,” inProceedings of the 46th Annual Hawaii International Conference on System Sciences (HICSS), pp. 630-639, 2013 |
14. | M. A. Boden, “Computer Models of Creativity,” AI Magazine, Vol. 30, No. 3, pp. 23-34, 2009 |
15. | H. Yang, D. Jing,L. Zhang, “Creative Computing: An Approach to Knowledge Combination for Creativity?” inProceedings of the IEEE Symposium on Service-Oriented System Engineering, pp. 407-414, 2016 |
16. | G. F. Smith, “Idea-Generation Techniques: A Formulary of Active Ingredients,” Journal of Creative Behavior, Vol. 32, No. 2, pp. 107-133, 1998 |
17. | M. J.Eppler and R. A. Pfister, “Paths To Success: A Sketch-based Creativity Technique for Individuals and Teams,” inProceedings of the 16th International Conference on Information Visualisation, pp. 337-342, 2012 |
18. | L. Xie and P. Zhang, “A Three Phase Idea Selection Approach for Team Creation,” inProceedings of the International Seminar on Business and Information Management (ISBIM), Vol. 1, pp. 326-329, 2008 |
19. | B. Hollis and N. Maiden, “Extending Agile Processes with Creativity Techniques,” IEEE Software, Vol. 30, No. 5, pp. 78-84, 2013 |
20. | D. Janssen, T. Schlegel, M. Wissen,J. Ziegler, “MetaCharts - Using Creativity Methods in a CSCW Environment,”Human-Computer Interaction Theory and Practice (Part II), pp. 939-943, 2003 |
21. | S. K. Saha, M. Selvi, G. Büyükcan,M. Mohymen, “A Systematic Review on Creativity Techniques for Requirements Engineering,” inProceedings of the International Conference on Informatics, Electronics and Vision (ICIEV), pp. 34-39, 2012 |
22. | E. Villasenor, “Creativity Research: A Literature Review,”Cognitive Science, pp. 1-36, 2006 |
23. | D. L.Amoroso and D. Couger, “Developing Information Systems with Creativity Techniques: An Exploratory Study,” inProceedings of the 28th Annual Hawaii International Conference on System Sciences, Vol. 4, pp. 720-728, 1995 |
24. | S. W.Knoll and G. Horton, “Changing the Perspective: Improving Generate ThinkLets for Ideation,” inProceedings of the 43rd Hawaii International Conference on System Sciences (HICSS), pp. 1-10, 2010 |
25. | P. Sheu, “Semantic Computing and Cognitive Computing/Informatics,” inProceedings of the IEEE 16th International Conference on Cognitive Informatics and Cognitive Computing (ICCI&CC), pp. 4, 2017 |
26. | P. Minervini, V. Tresp, C. D'amato, and N. Fanizzi, “Adaptive Knowledge Propagation in Web Ontologies,” ACM Transactions on the Web, Vol. 12, No. 1, pp. 1-28, 2017 |
27. | F. Baader, I. Harrocks, C. Lutz,U. Sattler, “An Introduction to Description Logic,” Cambridge University Press, London, UK, 2017 |
28. | R. J. Brachman, “What's in a Concept: Structural Foundations for Semantic Networks,”Journal of Man-Machine Studies, Vol. 9, pp. 127-152, 1977 |
29. | R. J. Brachman, “A Structural Paradigm for Representing Knowledge (BBN Report No. 3605),” 1978 |
30. | I. Horrocks, O. Kutz,U. Sattler, “The Even More Irresistible SROIQ,” inProceedings of the 10th International Conference on Knowledge, Represent and Reason, pp. 452-457, 1988 |
31. | B. C. Grau, I. Horrocks, B. Motik, B. Parsia, P. Patel-Schneider,U. Sattler, “OWL 2: the Next Step for OWL,” Web Semantics: Science, Services and Agents on the World Wide Web, Vol. 6, No. 4, pp. 309-322, 2008 |
32. | D. Jing, H. Yang, L. Xu,F. Ma, “Developing a Creative Idea Generation System for Innovative Software Reliability Research,” inProceedings of the 2nd International Conference on Trustworthy Systems and Their Applications (TSA), pp. 71-80, 2015 |
33. | C. Fellbaum, “WordNet: An Electronic Lexical Database,” MIT Press, Cambridge, MA, 1998 |
34. | G. A. Miller, “WordNet: A Lexical Database for English,” inProceedings of the Communications of the ACM, pp. 39-41, 1995 |
35. | M. A. Boden, “The Creative Mind: Myths and Mechanisms,” 2nd Edition, Routledge, London, 2004 |
[1] | Yuqing Qi, Wei Ren, Meiyu Shi, and Qinyun Liu. A Combinatorial Method based on Machine Learning Algorithms for Enhancing Cultural Economic Value [J]. Int J Performability Eng, 2020, 16(7): 1105-1117. |
[2] | Jiafeng Zhou, Tian Liu, and Lin Zou. Design of Machine Learning Model for Urban Planning and Management Improvement [J]. Int J Performability Eng, 2020, 16(6): 958-967. |
[3] | Chunjie Zhou, Nao Li, Chi Zhang, and Xiaoyu Yang. Evaluation of Text Semantic Features using Latent Dirichlet Allocation Model [J]. Int J Performability Eng, 2020, 16(6): 968-978. |
[4] | Jiafeng Zhou, Tian Liu, and Lin Zou. Artificial Intelligence Approach to Creative Data Manipulation for Optimisation of Livelihood Oriented Urban Planning and Management [J]. Int J Performability Eng, 2019, 15(2): 602-610. |
[5] | Meiyu Shi, Lu Zhang, Hongji Yang, Gongpeng Zhang, and Yuqing Qi. Pilot Study of Applying Creative Computing for the Activation of Intangible Cultural Heritage [J]. Int J Performability Eng, 2019, 15(2): 611-622. |
[6] | Gongpeng Zhang, Yuncai Ning, Chi Zhang, Zhaogang Wang, and Beu Lee. Applying Creative Computing in the Analysis of Smart Tourism Research in China [J]. Int J Performability Eng, 2019, 15(2): 623-629. |
[7] | Qinyun Liu, Lin Zou, Sicong Ma, and Hongji Yang. Intelligence to Artificial Creativity [J]. Int J Performability Eng, 2019, 15(2): 654-666. |
[8] | Liang Zhihong, Huang Yuxiang, Cao Zechun, Liu Tiancheng, and Wang Yuehua. Creativity in Trusted Data: Research on Application of Blockchain in Supply Chain [J]. Int J Performability Eng, 2019, 15(2): 526-535. |
[9] | Lu Zhang, Hongji Yang, and Chi Zhang. Synergy Between Human Creativity and Computing Technologies [J]. Int J Performability Eng, 2019, 15(2): 536-546. |
[10] | Wei Ren, Qinyun Liu, and Meiyu Shi. Establishing World Cultural Heritage Sites Resource Allocation System and Management System based on Neural Network Algorithm—A Case on HailongtunTusi Site [J]. Int J Performability Eng, 2019, 15(2): 547-558. |
[11] | Lin Zou, Qinyun Liu, Sicong Ma, and Fengbao Ma. Eliciting Data Relations of IOT based on Creative Computing [J]. Int J Performability Eng, 2019, 15(2): 559-570. |
[12] | Zijing Tian, Yichen Wang, and Pengyang Zong. A Markov Error Propagation Model for Component-based Software Systems [J]. Int J Performability Eng, 2018, 14(9): 2030-2039. |
|