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Journal articles on the topic 'Engineering knowledge'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 September 2023

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1

Choi, Ben. "Knowledge Engineering the Web." International Journal of Machine Learning and Computing 11, no. 1 (January 2021): 68–76. http://dx.doi.org/10.18178/ijmlc.2021.11.1.1016.

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This paper focuses on the largest source of human knowledge: The Web. It presents the state of the art and patented technologies on search engine, automatic organization of webpages, and knowledge-based automatic webpage summarization. For the patented search engine technology, it describes new methods to present search results to the users and through browsers to allow the users to customize and organize webpages. For the patented classification technology, it describes new methods to automatically organize webpages into categories. For the knowledge-based summarization technology, it presents new technics for computers to "read" webpages and then to "write" a summary by creating new sentences to describe the contents of the webpages. These search engine, classification, and summarization technologies build a strong framework for knowledge engineering the Web.

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2

Hall, Jon G. "Engineering knowledge engineering." Expert Systems 29, no. 5 (November 2012): 427–28. http://dx.doi.org/10.1111/exsy.12007.

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3

Rosenberg, N., and W. E. Steinmueller. "Engineering knowledge." Industrial and Corporate Change 22, no. 5 (January 11, 2013): 1129–58. http://dx.doi.org/10.1093/icc/dts053.

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4

Adeli, H. "Knowledge engineering." Archives of Computational Methods in Engineering 2, no. 4 (December 1995): 51–68. http://dx.doi.org/10.1007/bf02736196.

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5

Pelc, Karol I. "Knowledge engineering." Technological Forecasting and Social Change 41, no. 2 (March 1992): 201–3. http://dx.doi.org/10.1016/0040-1625(92)90066-3.

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6

Juristo, N., and S. T. Acuña. "Software Engineering and Knowledge Engineering." Expert Systems with Applications 23, no. 4 (November 2002): 345–47. http://dx.doi.org/10.1016/s0957-4174(02)00069-6.

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7

Alonso, Fernando, Jose Luis Maté, and Juan Pazos. "Knowledge engineering versus software engineering." Data & Knowledge Engineering 5, no. 2 (July 1990): 79–91. http://dx.doi.org/10.1016/0169-023x(90)90005-x.

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8

Wang, Chin-Bin, Yuh-Jen Chen, Yuh-Min Chen, and Hui-Chuan Chu. "Knowledge Refinement for Engineering Knowledge Management." Concurrent Engineering 13, no. 1 (March 2005): 43–56. http://dx.doi.org/10.1177/1063293x05051773.

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9

Preece, A., A. Flett, D. Sleeman, D. Curry, N. Meany, and P. Perry. "Better knowledge management through knowledge engineering." IEEE Intelligent Systems 16, no. 1 (January 2001): 36–43. http://dx.doi.org/10.1109/5254.912383.

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10

Shadbolt, Nigel, and Nick Milton. "From Knowledge Engineering to Knowledge Management." British Journal of Management 10, no. 4 (December 1999): 309–22. http://dx.doi.org/10.1111/1467-8551.00141.

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11

Hepinstall, Lisa, Greg Burek, and Victoria Dlugokecki. "Knowledge Aware Engineering." Journal of Ship Production and Design 34, no. 4 (November 1, 2018): 310–20. http://dx.doi.org/10.5957/jspd.160054.

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12

Kahlert, Toralf, Lars Langenberg, Thomas Marwinski, and Katrin Sell. "Engineering Knowledge Management." ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb 99, no. 7-8 (August 18, 2004): 424–27. http://dx.doi.org/10.3139/104.100802.

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13

Eisenstadt, M., J. Domingue, T. Rajan, and E. Motta. "Visual knowledge engineering." IEEE Transactions on Software Engineering 16, no. 10 (1990): 1164–77. http://dx.doi.org/10.1109/32.60296.

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14

OSSOWSKI, SASCHA, and ANDREA OMICINI. "Coordination knowledge engineering." Knowledge Engineering Review 17, no. 4 (December 2002): 309–16. http://dx.doi.org/10.1017/s0269888903000596.

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By adopting a structured knowledge-level approach, coordination knowledge can be ascribed to groups (societies) of system components (agents) as a whole, rather than to individuals, in order to effectively rationalise complex patterns of interaction within intelligent (multi-agent) systems. Be it either explicitly represented at the symbol-level or hard-coded within specific coordination algorithms, coordination knowledge is instrumented by a wide and heterogeneous variety of coordination models, abstractions and technologies. Coordination knowledge engineering is then about eliciting, modelling and instrumenting coordination knowledge in a principled and effective manner.In this introductory article, we briefly review two well-known frameworks to conceptualise coordination, then we discuss different dimensions along which coordination models can be classified, and analyse their impact on the design of coordination mechanisms and their supporting coordination knowledge. Finally, we sketch our view on coordination knowledge engineering and introduce the different contributions to this special issue along this line.

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15

Elliot, M. J., H. T. Bull, C. I. Pulford, N. R. Shadbolt, and W. Smith. "Constructive knowledge engineering." Knowledge-Based Systems 8, no. 5 (October 1995): 259–67. http://dx.doi.org/10.1016/0950-7051(95)98903-j.

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16

Lu, Ru-Qian, and Zhi Jin. "Beyond Knowledge Engineering." Journal of Computer Science and Technology 21, no. 5 (September 2006): 790–99. http://dx.doi.org/10.1007/s11390-006-0790-5.

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17

Tou, Julius T. "Knowledge engineering revisited." International Journal of Computer & Information Sciences 14, no. 3 (June 1985): 123–33. http://dx.doi.org/10.1007/bf00991002.

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18

del Águila, Isabel M., José Palma, and Samuel Túnez. "Milestones in Software Engineering and Knowledge Engineering History: A Comparative Review." Scientific World Journal 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/692510.

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We present a review of the historical evolution of software engineering, intertwining it with the history of knowledge engineering because “those who cannot remember the past are condemned to repeat it.” This retrospective represents a further step forward to understanding the current state of both types of engineerings; history has also positive experiences; some of them we would like to remember and to repeat. Two types of engineerings had parallel and divergent evolutions but following a similar pattern. We also define a set of milestones that represent a convergence or divergence of the software development methodologies. These milestones do not appear at the same time in software engineering and knowledge engineering, so lessons learned in one discipline can help in the evolution of the other one.

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19

Ramachandran, Satheesh. "Formal Knowledge Engineering Methods for Knowledge Discovery." Journal of Information & Knowledge Management 01, no. 02 (September 2002): 141–54. http://dx.doi.org/10.1142/s0219649202000455.

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This paper presents a framework for the integrated use of formal knowledge engineering methods and data mining based knowledge discovery methods. Knowledge is a key enterprise asset, and organizations are adopting both knowledge engineering and knowledge discovery paradigms for better knowledge management and enhanced decision support capability. Although there exists a useful interdependence between these endeavors, not much effort has been focused on using the full potential of one for the other. This paper presents a framework for the integrated use of established formal knowledge engineering methods and knowledge discovery processes with the ultimate intent of better managing the enterprise knowledge life cycle. It provides a brief overview of the knowledge discovery processes, and introduces a class of formal knowledge engineering methods and the perceived role of these methods in supporting the integration between the two worlds of knowledge discovery and knowledge engineering.

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20

NAKAMURA, Hideharu. "KNOWLEDGE ENGINEERING AND CIVIL ENGINEERING STRUCTURES." Doboku Gakkai Ronbunshu, no. 386 (1987): 1–11. http://dx.doi.org/10.2208/jscej.1987.386_1.

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21

Klein,, Rudiger. "Towards an Integration of Engineering Knowledge Management And Knowledge Based Engineering." Journal for Manufacturing Science and Production 3, no. 2-4 (December 2000): 103–10. http://dx.doi.org/10.1515/ijmsp.2000.3.2-4.103.

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22

Preston, S., C. Chapman, M. Pinfold, and G. Smith. "Knowledge acquisition for knowledge-based engineering systems." International Journal of Information Technology and Management 4, no. 1 (2005): 1. http://dx.doi.org/10.1504/ijitm.2005.006401.

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23

Lai, Lien F. "A knowledge engineering approach to knowledge management." Information Sciences 177, no. 19 (October 2007): 4072–94. http://dx.doi.org/10.1016/j.ins.2007.02.028.

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24

Chapman, C., S. Preston, M. Pinfold, and G. Smith. "Utilising enterprise knowledge with knowledge-based engineering." International Journal of Computer Applications in Technology 28, no. 2/3 (2007): 169. http://dx.doi.org/10.1504/ijcat.2007.013354.

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25

Kainova, Anastasia V., and Vera O. Volkova. "Modern Tendencies of Knowledge Management (Knowledge Engineering)." IZVESTIYA VUZOV SEVERO-KAVKAZSKII REGION SOCIAL SCIENCE, no. 2 (218) (June 23, 2023): 20–31. http://dx.doi.org/10.18522/2687-0770-2023-2-20-31.

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Knowledge management today is a promising area of research, since, as an independent disci-pline, in fact, it appeared in Russia and began to develop from the second half of the 2010s. The initial data for Russian researchers were foreign materials and publications, since in the West knowledge management emerged as an independent field of knowledge somewhat earlier, approximately from the beginning of the 20th century. Knowledge management trends began to emerge within large IT corporations, which began to reveal the connection between innovations produced by organizations and the transfer of knowledge between employees. The authors of this article aimed to provide a detailed overview of current modern trends in knowledge management, as well as explore their philosophical justification. The article discusses such trends as: the study and development of the concept of knowledge management itself, the development and im-provement of KMS, as well as knowledge management models, the study and identification of knowledge management tools. For each of the listed areas of research, a review of the literature is given, as well as the features of knowledge management as a discipline. According to the results of the review, it can be argued that the trend that began within Western IT corporations to preserve and reuse knowledge within the company is actively spreading not only to other industries, but also globally, acquiring its own unique features as an independent area of research.

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26

HONDA, Tsunenori. "Introduction to knowledge engineering." Journal of the Japan Society for Precision Engineering 54, no. 8 (1988): 1407–12. http://dx.doi.org/10.2493/jjspe.54.1407.

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27

Ramamoorthy, C. V., and B. W. Wah. "Knowledge and data engineering." IEEE Transactions on Knowledge and Data Engineering 1, no. 1 (March 1989): 9–16. http://dx.doi.org/10.1109/69.43400.

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28

Lenat, D. B. "Ontological versus knowledge engineering." IEEE Transactions on Knowledge and Data Engineering 1, no. 1 (March 1989): 84–88. http://dx.doi.org/10.1109/69.43405.

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29

Rivers, Rod, and Brian Kriss. "Knowledge-based engineering training." Computer-Aided Engineering Journal 4, no. 1 (1987): 68. http://dx.doi.org/10.1049/cae.1987.0014.

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30

Yates, J. K. "Engineering Knowledge versus Skills." Leadership and Management in Engineering 10, no. 3 (July 2010): 135–36. http://dx.doi.org/10.1061/(asce)lm.1943-5630.0000064.

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31

Burchill, Stephen. "Knowledge Service Engineering Handbook." Ergonomics 56, no. 4 (April 2013): 726–27. http://dx.doi.org/10.1080/00140139.2013.793044.

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32

Wolff, Karin, and Kathy Luckett. "Integrating multidisciplinary engineering knowledge." Teaching in Higher Education 18, no. 1 (January 2013): 78–92. http://dx.doi.org/10.1080/13562517.2012.694105.

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33

Fox, John. "Methodologies for knowledge engineering." Knowledge Engineering Review 7, no. 2 (June 1992): 95–96. http://dx.doi.org/10.1017/s0269888900006214.

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34

Johnson, W. Lewis. "Knowledge-Based Software Engineering." Knowledge Engineering Review 7, no. 4 (December 1992): 367–69. http://dx.doi.org/10.1017/s0269888900006482.

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The 7th Annual Knowledge-Based Software Engineering Conference was held at the McLean Hilton at Tysons Comer, in McLean, Virginia, on Sept. 20–23, 1992. This conference was sponsored by Rome Laboratory and held in cooperation with the IEEE Computer Society, ACM SIGART and SIGSOFT, and the American Association for Artificial Intelligence (AAAI).

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35

Wills, Gordon, and Mathew Wills. "Re‐engineering knowledge logistics." Logistics Information Management 10, no. 2 (April 1997): 80–91. http://dx.doi.org/10.1108/09576059710815743.

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36

Selfridge, P. G. "Knowledge-based software engineering." IEEE Expert 7, no. 6 (December 1992): 11–12. http://dx.doi.org/10.1109/64.180404.

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37

Steels, L., and B. Lepape. "Knowledge engineering in Esprit." IEEE Expert 8, no. 4 (August 1993): 4–10. http://dx.doi.org/10.1109/64.223984.

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38

Desouza, Kevin C. "Managing Software Engineering Knowledge." Knowledge Management Research & Practice 2, no. 1 (April 2004): 63–64. http://dx.doi.org/10.1057/palgrave.kmrp.8500018.

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39

Lu, Jie, and Da Ruan. "Intelligent knowledge engineering systems." Knowledge-Based Systems 20, no. 5 (June 2007): 437–38. http://dx.doi.org/10.1016/j.knosys.2007.01.004.

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40

Tyugu, Enn. "Large engineering knowledge bases." Artificial Intelligence in Engineering 8, no. 4 (January 1993): 265–70. http://dx.doi.org/10.1016/0954-1810(93)90009-5.

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41

Akman, V., P. ten Hagen, J. Rogier, and P. Veerkamp. "Knowledge engineering in design." Computer-Aided Design 20, no. 7 (September 1988): 425. http://dx.doi.org/10.1016/0010-4485(88)90250-3.

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42

Akman, Varol, Paul ten Hagen, Jan Rogier, and Paul Veerkamp. "Knowledge engineering in design." Knowledge-Based Systems 1, no. 2 (March 1988): 67–77. http://dx.doi.org/10.1016/0950-7051(88)90001-9.

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43

Averbukh, Elena A. "Multidisciplinary Task Knowledge Engineering." IFAC Proceedings Volumes 28, no. 23 (September 1995): 161–66. http://dx.doi.org/10.1016/s1474-6670(17)46611-0.

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44

Antink-Meyer, Allison, and Ryan A. Brown. "Nature of Engineering Knowledge." Science & Education 28, no. 3-5 (March 1, 2019): 539–59. http://dx.doi.org/10.1007/s11191-019-00038-0.

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45

Tomiyama, Tetsuo, and Hiroyuki Yoshikawa. "Knowledge engineering and CAD." Future Generation Computer Systems 1, no. 4 (June 1985): 237–43. http://dx.doi.org/10.1016/0167-739x(85)90012-3.

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46

Grady, Jeffrey O. "Knowledge and Systems Engineering." INSIGHT 7, no. 1 (April 2004): 51–53. http://dx.doi.org/10.1002/inst.20047151.

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47

Jain, L. C. "The Knowledge-Based Intelligent Engineering: New Engineering." IETE Technical Review 15, no. 5 (September 1998): 345–47. http://dx.doi.org/10.1080/02564602.1998.11416769.

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48

Walch, Michael, and Dimitris Karagiannis. "Design Thinking and Knowledge Engineering: A Machine Learning Case." International Journal of Machine Learning and Computing 10, no. 6 (December 2020): 765–70. http://dx.doi.org/10.18178/ijmlc.2020.10.6.1003.

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49

M., Edgar Serna, and Alexei Serna A. "Knowledge in Engineering: A View from the Logical Reasoning." International Journal of Computer Theory and Engineering 7, no. 4 (August 2015): 325–31. http://dx.doi.org/10.7763/ijcte.2015.v7.980.

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50

AL-Msloum, Abdulnaser Salem, and Ahmed Ali AL-Johani. "Social engineering and its effective role in knowledge community." International Journal of Academic Research 5, no. 6 (December 10, 2013): 232–38. http://dx.doi.org/10.7813/2075-4124.2013/5-6/a.30.

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