Relevant bibliographies by topics / Engineering knowledge

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Engineering knowledge'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 September 2023

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Journal articles on the topic "Engineering knowledge"

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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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Engineering knowledge"

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Kipling, Kathryn. "Knowledge engineering in bioprocesses." Thesis, University of Newcastle Upon Tyne, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.399002.

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Kingston, John. "Multi-perspective modelling for knowledge management and knowledge engineering." Thesis, University of Edinburgh, 2007. http://hdl.handle.net/1842/24782.

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The purpose of this thesis is to show how an analytical framework originally intended for information systems architecture can be used to support both knowledge management and knowledge engineering. The framework suggests analysing information or knowledge from six perspectives (Who, What, How, When, Where and Why) at up to six levels of detail (ranging from “scoping” the problem to an implemented solution). The application of this framework to each of CommonKADS’ models is discussed, in the context of several practical applications of the CommonKADS methodology. Strengths and weaknesses in the models that are highlighted by the practical applications are analysed using the framework, with the overall goal of showing where CommonKADS is currently and where it could be usefully extended. The same framework is also applied to knowledge management; it is established that “knowledge management” is in fact a wide collection of different techniques, and the framework appears to be of some use in every case. A specific application of using the framework to resolve common problems in ontology development is presented. The thesis also includes research on mapping knowledge acquisition techniques to CommonKADS’ models (and to the framework); proposing some extensions to CommonKADS’ library of generic inference structures; and it concludes with a suggestion for a “pragmatic” KADS for use on small projects. The aim is to show that this framework both characterises the knowledge required for both knowledge management and knowledge engineering, and to provide a guide to good selection of knowledge management techniques. If the chosen technique should involve knowledge engineering, the wealth of practical advice on CommonKADS in this thesis should also be beneficial.
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Diedrich, Andreas. "Engineering knowledge : how engineers and managers practice knowledge management /." Göteborg : BAS publ, 2004. http://catalogue.bnf.fr/ark:/12148/cb39983743r.

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Novi, Daniele. "Knowledge management and Discovery for advanced Enterprise Knowledge Engineering." Doctoral thesis, Universita degli studi di Salerno, 2014. http://hdl.handle.net/10556/1466.

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2012 - 2013
The research work addresses mainly issues related to the adoption of models, methodologies and knowledge management tools that implement a pervasive use of the latest technologies in the area of Semantic Web for the improvement of business processes and Enterprise 2.0 applications. The first phase of the research has focused on the study and analysis of the state of the art and the problems of Knowledge Discovery database, paying more attention to the data mining systems. The most innovative approaches which were investigated for the "Enterprise Knowledge Engineering" are listed below. In detail, the problems analyzed are those relating to architectural aspects and the integration of Legacy Systems (or not). The contribution of research that is intended to give, consists in the identification and definition of a uniform and general model, a "Knowledge Enterprise Model", the original model with respect to the canonical approaches of enterprise architecture (for example with respect to the Object Management - OMG - standard). The introduction of the tools and principles of Enterprise 2.0 in the company have been investigated and, simultaneously, Semantic Enterprise based appropriate solutions have been defined to the problem of fragmentation of information and improvement of the process of knowledge discovery and functional knowledge sharing. All studies and analysis are finalized and validated by defining a methodology and related software tools to support, for the improvement of processes related to the life cycles of best practices across the enterprise. Collaborative tools, knowledge modeling, algorithms, knowledge discovery and extraction are applied synergistically to support these processes. [edited by author]
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Urwin, Esmond. "Knowledge supported requirement engineering framework." Thesis, University of Nottingham, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.408633.

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Mahmoud, M. A. "Factory building : Design knowledge engineering." Thesis, University of Strathclyde, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.382426.

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Dogan, Huseyin. "Managing knowledge for capability engineering." Thesis, Loughborough University, 2013. https://dspace.lboro.ac.uk/2134/14098.

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The enterprises that deliver capability are trying to evolve into through-life businesses by shifting away from the traditional pattern of designing and manufacturing successive generations of products, towards a new paradigm centred on support, sustainability and the incremental enhancements of existing capabilities from technology insertions and changes to process. The provision of seamless through-life customer solutions depends heavily on management of information and knowledge between, and within the different parts of the supply chain enterprise. This research characterised and described Capability Engineering (CE) as applied in the defence enterprise and identified to BAE Systems important considerations for managing knowledge within that context. The terms Capability Engineering and Through Life Capability Management (TLCM), used synonymously in this thesis, denote a complex evolving domain that requires new approaches to better understand the different viewpoints, models and practices. The findings and novelty of this research is demonstrated through the following achievements: • Defined the problem space that Requirements Engineers can use in through-life management projects. • Made a contribution to the development of models for Systems Architects to enable them to incorporate 'soft' systems within their consideration. • Independently developed a TLCM activity model against which BAE Systems validated the BAE Systems TLCM activity model, which is now used by UK Ministry of Defence (MoD). • Developed, and published within INCOSE1, the INCOSE Capability Engineering ontology. • Through the novel analysis of a directly applicable case study, highlighted to Functional Delivery Managers the significance of avoiding the decoupling of information and knowledge in the context of TLCM. • Through experimentation and knowledge gained within this research, identified inadequacies in the TechniCall (rapid access to experts) service which led to the generation of requirements for an improved service which is now being implemented by BAE Systems. The results showed that managing knowledge is distinct when compared to information management. Over-reliance on information management in the absence of tacit knowledge can lead to a loss in the value of the information, which can result in unintended consequences. Capability is realised through a combination of component systems and Capability Engineering is equivalent to a holistic perspective of Systems Engineering. A sector-independent Capability Engineering ontology is developed to enable semantic interoperability between different domains i.e. defence, rail and information technology. This helped to better understand the dependencies of contributing component systems within defence, and supported collaboration across different domains. Although the evaluation of the ontology through expert review has been accomplished; the ontology, KM analysis framework and soft systems transitioning approach developed still need to undergo independent verification and validation. This requires application to other case studies to check and exploit their suitability. This Engineering Doctorate research has been disseminated through a number of peer reviewed publications.
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Elsass, Michael J. "Multipurpose Sharable Engineering Knowledge Repository." The Ohio State University, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=osu991189934.

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Darwish, Ahmed Adel. "Knowledge-based interpretation of satellite images : a knowledge engineering approach." Thesis, University of Nottingham, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.289488.

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Funkat, Anne-Kathrin. "Prozessbasiertes Knowledge engineering in medizinischen Problemdomänen." [S.l.] : [s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=974935131.

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Books on the topic "Engineering knowledge"

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Fred, Ana, Jan L. G. Dietz, Kecheng Liu, and Joaquim Filipe, eds. Knowledge Discovery, Knowlege Engineering and Knowledge Management. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19032-2.

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Fazlollahtabar, Hamed. Knowledge Engineering. Boca Raton, FL : CRC Press, 2020.: CRC Press, 2020. http://dx.doi.org/10.1201/9781003055006.

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Debenham, John. Knowledge Engineering. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72034-5.

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Hank, Kahney, Brayshaw Mike, and Open University. Knowledge Engineering Course Team., eds. Knowledge engineering. Milton Keynes: Open University Press, 1989.

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Cross, Thomas B. Knowledge engineering. New York: Brady, 1988.

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1950-, Adeli Hojjat, ed. Knowledge engineering. New York: McGraw-Hill, 1990.

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Hank, Kahney, and Open University. Knowledge Engineering Course Team., eds. Knowledge engineering. Milton Keynes: Open University, 1989.

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Corcho, Oscar, Laura Hollink, Oliver Kutz, Nicolas Troquard, and Fajar J. Ekaputra, eds. Knowledge Engineering and Knowledge Management. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17105-5.

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ten Teije, Annette, Johanna Völker, Siegfried Handschuh, Heiner Stuckenschmidt, Mathieu d’Acquin, Andriy Nikolov, Nathalie Aussenac-Gilles, and Nathalie Hernandez, eds. Knowledge Engineering and Knowledge Management. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33876-2.

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Keet, C. Maria, and Michel Dumontier, eds. Knowledge Engineering and Knowledge Management. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61244-3.

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Book chapters on the topic "Engineering knowledge"

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Wloka, Dieter W. "Knowledge Engineering." In Robotersysteme 3, 43–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-93513-8_6.

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Horn, Werner. "Knowledge Engineering." In Expertensysteme, 73–89. Vienna: Springer Vienna, 1990. http://dx.doi.org/10.1007/978-3-7091-9094-4_4.

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Lenz, Andreas. "Knowledge Engineering." In Knowledge Engineering für betriebliche Expertensysteme, 135–278. Wiesbaden: Deutscher Universitätsverlag, 1991. http://dx.doi.org/10.1007/978-3-663-14606-3_4.

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Reichenberger, Klaus. "Knowledge-Engineering." In Kompendium semantische Netze, 113–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-04315-4_9.

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Swain, Martin. "Knowledge Engineering." In Encyclopedia of Systems Biology, 1074. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_1032.

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Weik, Martin H. "knowledge engineering." In Computer Science and Communications Dictionary, 864. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_9875.

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Trevelyan, James P. "Engineering knowledge." In Learning Engineering Practice, 63–69. Boca Raton : CRC Press, [2021]: CRC Press, 2020. http://dx.doi.org/10.1201/b22622-12.

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Aussenac-Gilles, Nathalie, Jean Charlet, and Chantal Reynaud. "Knowledge Engineering." In A Guided Tour of Artificial Intelligence Research, 733–68. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-06164-7_23.

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de Vries, Marc J. "Engineering Knowledge as Indigenous Knowledge." In Contemporary Issues in Technology Education, 33–42. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1396-1_3.

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Stjepandić, Josip, Wim J. C. Verhagen, Harald Liese, and Pablo Bermell-Garcia. "Knowledge-Based Engineering." In Concurrent Engineering in the 21st Century, 255–86. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13776-6_10.

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Conference papers on the topic "Engineering knowledge"

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"Knowledge engineering." In 2013 5th Conference on Information and Knowledge Technology (IKT). IEEE, 2013. http://dx.doi.org/10.1109/ikt.2013.6620130.

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Davis, Shauntrelle D., and Tia B. Walton. "Engineering knowledge." In the 42nd annual Southeast regional conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/986537.986636.

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Aime, Xavier, and Jean Charlet. "Knowledge Engineering or Conformism Engineering?" In 2014 IEEE 23rd International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprise (WETICE). IEEE, 2014. http://dx.doi.org/10.1109/wetice.2014.32.

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van Harmelen, Frank, Annette ten Teije, and Holger Wache. "Knowledge engineering rediscovered." In the fifth international conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1597735.1597750.

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Chen, L., N. R. Shadbolt, F. Tao, S. J. Cox, A. J. Keane, C. Goble, A. Roberts, and P. Smart. "Engineering Knowledge for Engineering Grid Applications." In EuroWeb 2002 Conference. BCS Learning & Development, 2002. http://dx.doi.org/10.14236/ewic/ew2002.2.

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Wang, Hongwei, Hao Qin, and Heming Zhang. "Managing engineering analysis knowledge." In 2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2013. http://dx.doi.org/10.1109/cscwd.2013.6581004.

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Hardy, Steven. "Knowledge engineering on microcomputers." In the 1985 ACM annual conference. New York, New York, USA: ACM Press, 1985. http://dx.doi.org/10.1145/320435.323377.

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Völkel, Max, Sebastian Schaffert, Elena Pasaru-Bontas, and Sören Auer. "Wiki-based knowledge engineering." In the 2006 international symposium. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1149453.1149480.

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Ignatova, Nina. "Specificity of engineering knowledge." In PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON INDUSTRIAL MANUFACTURING AND METALLURGY (ICIMM 2021). AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0074653.

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Sainter, P., K. Oldham, A. Larkin, A. Murton, and R. Brimble. "Product Knowledge Management Within Knowledge-Based Engineering Systems." In ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/dac-14501.

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Abstract Knowledge-based engineering systems are now becoming more commonplace in engineering industry. There is a need to ensure the technology is used correctly and to provide the user with all the possible benefits that the system can offer. This paper looks at how product knowledge can be managed within knowledge-based engineering systems to ensure that the knowledge retains its value and usefulness during the product lifecycle. Presently, the use of these systems has been for the short-term benefit of the company. However, it is believed that it is important to consider longer-term issues also, since knowledge normally has a half-life of around 20 years. The main aim of this paper is to demonstrate the need for product knowledge management within knowledge-based engineering systems by looking at key issues that are related to the longer-term use of these systems. This paper will also provide a product knowledge management scheme for the development and management of product knowledge within knowledge-based engineering systems, thereby extending the benefits of knowledge-based engineering systems into the longer-term.
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Reports on the topic "Engineering knowledge"

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Chemaly, Adel. Intelligent Knowledge-Based Engineering. Fort Belvoir, VA: Defense Technical Information Center, May 1994. http://dx.doi.org/10.21236/ada281906.

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Henderson, Thomas C. Explicit and Persistent Knowledge in Engineering Drawing Analysis. Fort Belvoir, VA: Defense Technical Information Center, October 2003. http://dx.doi.org/10.21236/ada453887.

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Hilburn, Thomas B., Iraj Hirmanpour, Soheil Khajenoori, Richard Turner, and Abir Qasem. A Software Engineering Body of Knowledge Version 1.0. Fort Belvoir, VA: Defense Technical Information Center, April 1999. http://dx.doi.org/10.21236/ada363793.

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Spravka, John J., Marie E. Gomes, and Stephanie Lind. Tools for Automated Knowledge Engineering (TAKE) System Evaluation Methodology. Fort Belvoir, VA: Defense Technical Information Center, June 1994. http://dx.doi.org/10.21236/ada291145.

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Li, Zhongmin. Knowledge Engineering Report: An Expert System for Selecting Reliability Index. Fort Belvoir, VA: Defense Technical Information Center, April 1988. http://dx.doi.org/10.21236/ada232821.

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Cooke, Nancy J., Steven M. Shope, and Preston A. Kiekel. Shared-Knowledge and Team Performance: A Cognitive Engineering Approach to Measurement. Fort Belvoir, VA: Defense Technical Information Center, March 2001. http://dx.doi.org/10.21236/ada387718.

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Pester-DeWan, Joanne, Ronald A. Moore, and Jeffrey G. Morrison. Knowledge Engineering for Command and Control Transformation at United States European Command (USEUCOM). Fort Belvoir, VA: Defense Technical Information Center, December 2003. http://dx.doi.org/10.21236/ada421841.

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Kim, Simon S., Mary Lou Maher, Raymond E. Levitt, Martin F. Rooney, and Thomas J. Siller. Survey of the State-of-the-Art Expert/Knowledge Based Systems in Civil Engineering. Fort Belvoir, VA: Defense Technical Information Center, October 1986. http://dx.doi.org/10.21236/ada175257.

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Moody, Russell F., and Nikolaus G. Bourbakis. Avionics Collaborative Engineering Technology Delivery Order 0035: Secure Knowledge Management (SKM) Technology Research Roadmap - Technology Trends for Collaborative Information and Knowledge Management Research. Fort Belvoir, VA: Defense Technical Information Center, June 2004. http://dx.doi.org/10.21236/ada429348.

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Huang, Hui-Min. Outline of a multiple dimensional reference model architecture and a knowledge engineering methodology for intelligent systems control. Gaithersburg, MD: National Institute of Standards and Technology, 1995. http://dx.doi.org/10.6028/nist.ir.5643.

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