Journal articles on the topic 'Knowledge-Based Engineering'

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1

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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2

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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3

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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4

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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5

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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6

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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7

Habermann, A. N. "Engineering large knowledge-based systems." Data & Knowledge Engineering 5, no. 2 (July 1990): 105–17. http://dx.doi.org/10.1016/0169-023x(90)90007-z.

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8

Studer, Rudi. "Knowledge-based software engineering environments." Computer Physics Communications 38, no. 2 (October 1985): 277–87. http://dx.doi.org/10.1016/0010-4655(85)90091-8.

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9

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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10

Lu, RuQian, and Zhi Jin. "From knowledge based software engineering to knowware based software engineering." Science in China Series F: Information Sciences 51, no. 6 (May 21, 2008): 638–60. http://dx.doi.org/10.1007/s11432-008-0060-y.

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11

Ammar-Khodja, Samar, Nicolas Perry, and Alain Bernard. "Processing Knowledge to Support Knowledge-based Engineering Systems Specification." Concurrent Engineering 16, no. 1 (March 2008): 89–101. http://dx.doi.org/10.1177/1063293x07084642.

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12

Guthke, Reinhard, Wolfgang Schmidt-Heck, and Michael Pfaff. "Knowledge acquisition and knowledge based control in bioprocess engineering." Journal of Biotechnology 65, no. 1 (September 1998): 37–46. http://dx.doi.org/10.1016/s0168-1656(98)00120-5.

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13

Moula, M., D. G. Toll, and N. Vaptimas. "Knowledge-based systems in geotechnical engineering." Géotechnique 45, no. 2 (June 1995): 209–21. http://dx.doi.org/10.1680/geot.1995.45.2.209.

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14

Bernard, A., S. Ammar-Khodja, N. Perry, and F. Laroche. "Virtual engineering based on knowledge integration." Virtual and Physical Prototyping 2, no. 3 (September 2007): 137–54. http://dx.doi.org/10.1080/17452750701677509.

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15

Young, William, Roger Hadgraft, Robyn Friday, Michael Prior, Ronald Sharpe, William J. Spencer, Nicholas Szwed, Michael A. P. Taylor, Derek Walker, and Marcus Wigan. "Knowledge based systems in civil engineering." Civil Engineering Systems 6, no. 1-2 (January 1989): 3–4. http://dx.doi.org/10.1080/02630258908970536.

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16

Nadakatti, M. M. "A knowledge based approach [maintenance engineering]." Manufacturing Engineer 85, no. 2 (April 1, 2006): 24–27. http://dx.doi.org/10.1049/me:20060203.

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17

Wu, Albert K. W. "A knowledge-based application in engineering." Advances in Engineering Software 28, no. 8 (November 1997): 469–86. http://dx.doi.org/10.1016/s0965-9978(97)00028-8.

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18

CARBOGIM, DANIELA V., DAVID ROBERTSON, and JOHN LEE. "Argument-based applications to knowledge engineering." Knowledge Engineering Review 15, no. 2 (June 2000): 119–49. http://dx.doi.org/10.1017/s0269888900002058.

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Argumentation is concerned with reasoning in the presence of imperfect information by constructing and weighing up arguments. It is an approach for inconsistency management in which conflict is explored rather than eradicated. This form of reasoning has proved applicable to many problems in knowledge engineering that involve uncertain, incomplete or inconsistent knowledge. This paper concentrates on different issues that can be tackled by automated argumentation systems and highlights important directions in argument-oriented research in knowledge engineering.
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19

Vidal, Christian L., Alejandra A. Segura, Victor H. Menendez, and Manuel E. Prieto. "Knowledge-based architecture for instructional engineering." International Journal of Knowledge and Learning 5, no. 3/4 (2009): 371. http://dx.doi.org/10.1504/ijkl.2009.031230.

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20

Lunze, J., and J. Wernstedt. "Knowledge-based Systems in Control Engineering." IFAC Proceedings Volumes 22, no. 10 (August 1989): 23–34. http://dx.doi.org/10.1016/s1474-6670(17)53141-9.

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21

Werner, Markus, and Hans Stein. "Knowledge-based Engineering of Geometrical Data." ATZproduktion worldwide eMagazine 4, no. 1 (March 2011): 30–35. http://dx.doi.org/10.1365/s38312-011-0007-y.

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22

Sarja, Asko, and Ian Smith. "Knowledge-Based Systems in Civil Engineering." Structural Engineering International 3, no. 3 (August 1993): 203–4. http://dx.doi.org/10.2749/101686693780607822.

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23

BOLTON, DAVID, SARA JONES, DAVID TILL, DAVID FURBER, and STEWART GREEN. "KNOWLEDGE-BASED SUPPORT FOR REQUIREMENTS ENGINEERING." International Journal of Software Engineering and Knowledge Engineering 02, no. 02 (June 1992): 293–319. http://dx.doi.org/10.1142/s0218194092000154.

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Approaches to providing knowledge-based support for the process of requirements engineering are discussed. The kinds of knowledge commonly used in providing such support are placed within a taxonomy and the approaches of different projects to the definition and representation of each of these kinds of knowledge are considered. Finally, there is a brief review of the ways in which each kind of knowledge is used in various approaches to providing support for commonly recognized stages in the process of requirements engineering. It is concluded that knowledge-based techniques are at present capable of providing significant support for the requirements engineer, but that a considerable amount of work has still to be done before the potential of these techniques can be fully realized.
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24

DEN HAAN, NIENKE, and GIOVANNI SARTOR. "Editorial: Model-based Legal Knowledge Engineering." International Journal of Human-Computer Studies 51, no. 6 (December 1999): 1037–42. http://dx.doi.org/10.1006/ijhc.1999.0295.

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25

Bader, Jon, John Edwards, Chris Harris-Jones, and David Hannaford. "Practical engineering of knowledge-based systems." Information and Software Technology 30, no. 5 (June 1988): 266–77. http://dx.doi.org/10.1016/0950-5849(88)90019-5.

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26

Loucopoulos, P., and REM Champion. "Knowledge-based support for requirements engineering." Information and Software Technology 31, no. 3 (April 1989): 123–35. http://dx.doi.org/10.1016/0950-5849(89)90103-1.

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27

Doherty, N. F., and A. K. Kochhar. "Knowledge engineering for model-based diagnosis." Engineering Applications of Artificial Intelligence 7, no. 6 (December 1994): 653–63. http://dx.doi.org/10.1016/0952-1976(94)90068-x.

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28

Coenen, F. P., G. P. Smeaton, and A. G. Bole. "Knowledge-based Collision Avoidance." Journal of Navigation 42, no. 1 (January 1989): 107–16. http://dx.doi.org/10.1017/s0373463300015125.

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29

Kingston, John. "Applying KADS to KADS: knowledge-based guidance for knowledge engineering." Expert Systems 12, no. 1 (February 1995): 15–26. http://dx.doi.org/10.1111/j.1468-0394.1995.tb00022.x.

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30

Li, Jia, Yun Bing Yang, and Fa Yuan Wei. "Knowledge Based Engineering in Complicated Product Design." Advanced Materials Research 466-467 (February 2012): 1135–39. http://dx.doi.org/10.4028/www.scientific.net/amr.466-467.1135.

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Under the tendency of knowledge economy in the world, knowledge research becomes a hot subject. The analysis about the meanings, categories and characteristics of knowledge is presented at first. The concept and key techniques of Knowledge Based Engineering (KBE) are discussed. The differences and relationships among KBE, Expert System (ES) and CAD/CAE/CAPP/CAM (CAX) Systems are analyzed as well. An example on knowledge-based designing of one complicated product is provided. A product knowledge base is established by analyzing the structure and characteristics of product design knowledge. Product knowledge integration and management is fulfilled using Product Data Management (PDM) and dynamic database technique.
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31

Moula, M., D. G. Toll, and N. Vaptimas. "Discussion: Knowledge-based systems in geotechnical engineering." Géotechnique 46, no. 3 (September 1996): 573. http://dx.doi.org/10.1680/geot.1996.46.3.573.

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32

Seshasai, Satwiksai, and Amar Gupta. "Knowledge-Based Approach to Facilitate Engineering Design." Journal of Spacecraft and Rockets 41, no. 1 (January 2004): 29–38. http://dx.doi.org/10.2514/1.9205.

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33

Ma, Q. C., and X. W. Liu. "Review of Knowledge Based Engineering with PLM." Applied Mechanics and Materials 10-12 (December 2007): 127–31. http://dx.doi.org/10.4028/www.scientific.net/amm.10-12.127.

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This paper starts with an analysis of the need for knowledge based engineering (KBE) system based on typical domain-specific engineering products. It looks back the history of KBE and exams the general structure of KBE systems. It then reviews the current development, particularly the knowledge representation in a KBE system, followed by a discussion of the shortcomings regarding to the maintenance and excessive cost of integrations with other digital tools. Finally it recommends the characteristics of a genuine KBE system and the standardization of KBE applications, particularly the internal knowledge representation standards and knowledge-based system interface standards with CAx systems and PLM solutions.
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34

McGuire, James G., Daniel R. Kuokka, Jay C. Weber, Jay M. Tenenbaum, Thomas R. Gruber, and Gregory R. Olsen. "SHADE: Technology for Knowledge-based Collaborative Engineering." Concurrent Engineering 1, no. 3 (September 1993): 137–46. http://dx.doi.org/10.1177/1063293x9300100301.

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35

Olsen, Gregory R., Mark Cutkosky, Jay M. Tenenbaum, and Thomas R. Gruber. "Collaborative Engineering Based on Knowledge Sharing Agreements." Concurrent Engineering 3, no. 2 (June 1995): 145–59. http://dx.doi.org/10.1177/1063293x9500300209.

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36

Sriram, D., and M. D. Rychener. "Knowledge-Based Engineering Systems Research in Progress." IEEE Software 3, no. 2 (March 1986): 48–60. http://dx.doi.org/10.1109/ms.1986.233073.

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37

Durupt, Alexandre, Sébastien Remy, Guillaume Ducellier, and Philippe Pouille. "Reverse engineering using a knowledge-based approach." International Journal of Product Development 19, no. 1/2/3 (2014): 113. http://dx.doi.org/10.1504/ijpd.2014.060045.

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38

Valencia-García, Rafael, and Giner Alor-Hernández. "Special Issue on Knowledge-based Software Engineering." Science of Computer Programming 121 (June 2016): 1–2. http://dx.doi.org/10.1016/j.scico.2016.02.005.

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39

Lovett, P. J., A. Ingram, and C. N. Bancroft. "Knowledge-based engineering for SMEs — a methodology." Journal of Materials Processing Technology 107, no. 1-3 (November 2000): 384–89. http://dx.doi.org/10.1016/s0924-0136(00)00728-7.

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40

BLOUNT, G. N., S. KNEEBONE, and M. R. KINGSTON. "Selection of Knowledge-based Engineering Design Applications." Journal of Engineering Design 6, no. 1 (January 1995): 31–38. http://dx.doi.org/10.1080/09544829508907900.

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41

Kaiser, G. E., N. S. Barghouti, P. H. Feiler, and R. W. Schwanke. "Database support for knowledge-based engineering environments." IEEE Expert 3, no. 2 (1988): 18–23. http://dx.doi.org/10.1109/64.2102.

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42

Morales, Eduardo F., and L. Enrique Sucar. "A multifunctional knowledge-based system for engineering." Expert Systems with Applications 14, no. 1-2 (January 1998): 17–24. http://dx.doi.org/10.1016/s0957-4174(97)00063-8.

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43

Butler, Cary D., Gene Boggess, and Susan Bridges. "Knowledge based planning of military engineering tasks." Expert Systems with Applications 16, no. 2 (February 1999): 221–32. http://dx.doi.org/10.1016/s0957-4174(98)00072-4.

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44

Roberts, Nancy A., and Douglas A. White. "The 8th knowledge-based software engineering conference." ACM SIGART Bulletin 5, no. 2 (April 1994): 13–15. http://dx.doi.org/10.1145/182053.182059.

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45

HIROTA, T. "Special Section on Knowledge-Based Software Engineering." IEICE Transactions on Information and Systems E89-D, no. 4 (April 1, 2006): 1319–20. http://dx.doi.org/10.1093/ietisy/e89-d.4.1319.

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46

Won Kim, Ki-Joon Chae, Dong-Sub Cho, Byoungju Choi, Anmo Jeong, Myung Kim, KiHo Lee, et al. "The chamois component-based knowledge engineering framework." Computer 35, no. 5 (May 2002): 45, 47–54. http://dx.doi.org/10.1109/mc.2002.999775.

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47

Yamaguchi, T. "Special Section on Knowledge-Based Software Engineering." IEICE Transactions on Information and Systems E91-D, no. 4 (April 1, 2008): 879–80. http://dx.doi.org/10.1093/ietisy/e91-d.4.879.

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48

Campbell, J. A. "Knowledge-based computing systems and software engineering." Computer Physics Communications 41, no. 2-3 (August 1986): 285–90. http://dx.doi.org/10.1016/0010-4655(86)90071-8.

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49

Loucopoulos, P., and R. Champion. "Knowledge-based approach to requirements engineering using method and domain knowledge." Knowledge-Based Systems 1, no. 3 (June 1988): 179–87. http://dx.doi.org/10.1016/0950-7051(88)90076-7.

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50

Bates, J. P., A. J. Morris, and P. N. Payne. "Knowledge-based geometric modelling of aircraft structures." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 211, no. 4 (April 1, 1997): 273–84. http://dx.doi.org/10.1243/0954410971532677.

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Aerospace engineering offers a challenging test environment for advanced design systems and methods. Focusing particularly on knowledge-based engineering (KBE) systems, this paper demonstrates their application in automating the solid modelling of aircraft structures. The principles are illustrated through a case study example in which a description is given of the knowledge-based geometric modelling of light alloy fuselage frame sectors. The business benefits of using KBE systems in an aerospace engineering programme are quantified. Recommendations for the extended application of the technology to achieve strategic market advantage are also given.
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