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Relevant bibliographies by topics / Knowledge-based

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Academic literature on the topic 'Knowledge-based'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 March 2023

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Journal articles on the topic "Knowledge-based"

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Havlíček, J., J. Hron, and I. Tichá. "Knowledge based higher education." Agricultural Economics (Zemědělská ekonomika) 52, No. 3 (February 17, 2012): 107–16. http://dx.doi.org/10.17221/5002-agricecon.

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While data and/or information based education was built on pedagogic, psychology, philosophy of science and didactic disciplines, the new dimension of knowledge based education will involve new disciplines such as Knowledge Management, Epistemology, Systems Theory, Artificial Knowledge Management Systems, Value Theory and Theory of Measurement. It is often assumed that data, information and knowledge are depicted as a pyramid. The data, the most plentiful type, are at the bottom, information, produced from data, is above it and knowledge, produced from information through the hard work of refining or mining, above it. This schema satisfies specific needs of an organisation of warehouse data systems but it does not explain the role of these objects in the educational process. In education, the distinctions among data, information and knowledge need to be distinguished from the complex pedagogical point of view. Knowledge is the engine asking for more information and more data. Knowledge life cycle produces more information, more information asks for more data – that is: there is “just information”. Data, information and knowledge can be considered as object oriented measures assigned to real objects (entities). The following measures can be assigned to the objects: Measure of the zero order – name. Measure of the first order – data. Measure of the second order – information. Metrics of the third order – knowledge. Knowledge based curriculum involves knowledge into study plans and it considers knowledge as a distinctive part of study. Knowledge becomes the engine starting cycle of new information acquisition, reproduction and integration. The following problems have to be solved in building of knowledge based curriculum: Methodology and organisation of educational process. Technical support for knowledge based education. Evaluation and assessment of the process.

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Havlíček, J., J. Hron, and I. Tichá. "Knowledge based case studies ." Agricultural Economics (Zemědělská ekonomika) 52, No. 12 (February 17, 2012): 545–51. http://dx.doi.org/10.17221/5065-agricecon.

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In the present development of a knowledge society and with the increasing impact of knowledge on economic growth, case studies have become vehicles of knowledge which can both store and transfer it. Knowledge based case studies describe the best practices as well as solutions of complex problems. Knowledge in case studies is described in both written and symbolic form. The content and form of knowledge based case studies should be in mutual equilibrium. Knowledge based case studies are both descriptions of methods and algorithms as well as narratives. As narratives, they should have a relevant literary quality. Case studies can involve mass media into their structure and use simulation techniques as well as techniques of entrepreneurial games. Case studies can thus be both dynamic and flexible. Users can personally influence the behaviour and evolution of the process. They can choose their role in the process and can also change it whilst performing the solution. Social, cultural and traditional values are respected during all steps leading to solutions of problems. Ecological aspects and conditions of sustainable development are taken into account when solutions are analysed, recommended and accepted. Case studies present the best practices which enable users to provide benchmarking examples of their own solutions. Data bases of case studies should provide more dimensions containing descriptors which characterize the studies. In the following article, six descriptors will be recommended: domains, objectives, critical success factors, indicators, the best practices explanations and case characteristics. These enable to sort out, categorize, classify and stratify studies in a data base and are helpful in assessing their quality. A vertical structure of the data base facilitates classification and ordering of studies according to subject areas. A horizontal structure of the database enables classification of case studies from the user point of view.  

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KRUJA, Alba. "Entrepreneurship and Knowledge-Based Economies." Revista Romaneasca pentru Educatie Multidimensionala 5, no. 1 (June 30, 2013): 7–17. http://dx.doi.org/10.18662/rrem/2013.0501.01.

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CIULEI, Tomita. "Educational Policies in Knowledge Based Society." Revista Romaneasca pentru Educatie Multidimensionala 5, no. 2 (December 31, 2013): 5–8. http://dx.doi.org/10.18662/rrem/2013.0502.01.

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Gregory, Richard L. "Intelligence Based on Knowledge – Knowledge Based on Intelligence." Interdisciplinary Science Reviews 12, no. 3 (September 1987): 211–15. http://dx.doi.org/10.1179/isr.1987.12.3.211.

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Kang, Sungjae, and Kisung Seo. "Weighted Knowledge Based Knowledge Distillation." Transactions of The Korean Institute of Electrical Engineers 71, no. 2 (February 28, 2022): 431–35. http://dx.doi.org/10.5370/kiee.2022.71.2.431.

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Patel-Schneider, Peter F. "Practical, object-based knowledge representation for knowledge-based systems." Information Systems 15, no. 1 (January 1990): 9–19. http://dx.doi.org/10.1016/0306-4379(90)90013-f.

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Motoda, H., R. Mizoguchi, J. Boose, and B. Gaines. "Knowledge acquisition for knowledge-based systems." IEEE Expert 6, no. 4 (August 1991): 53–64. http://dx.doi.org/10.1109/64.85921.

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ZHEN, L., and Z. JIANG. "Knowledge Grid Based Knowledge Supply Model." IEICE Transactions on Information and Systems E91-D, no. 4 (April 1, 2008): 1082–90. http://dx.doi.org/10.1093/ietisy/e91-d.4.1082.

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Müller-Kolck, Ulrich. "Knowledge acquisition for knowledge-based systems." Artificial Intelligence in Medicine 2, no. 2 (June 1990): 119–20. http://dx.doi.org/10.1016/0933-3657(90)90033-n.

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Dissertations / Theses on the topic "Knowledge-based"

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Mohamud, Mohamed Omar. "The generation of knowledge in knowledge-based firms." Thesis, University of Leeds, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.439583.

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Al-Jabir, Shaikha. "Terminology-based knowledge acquisition." Thesis, University of Surrey, 1999. http://epubs.surrey.ac.uk/843300/.

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A methodology for knowledge acquisition from terminology databases is presented. The methodology outlines how the content of a terminology database can be mapped onto a knowledge base with a minimum of human intervention. Typically, terms are defined and elaborated by terminologists by using sentences that have a common syntactic and semantic structure. It has been argued that in defining terms, terminologists use a local grammar and that this local grammar can be used to parse the definitions. The methodology has been implemented in a program called DEARSys (Definition Analysis and Representation System), that reads definition sentences and extracts new concepts and conceptual relations about the defined terms. The linguistic component of the system is a parser for the sublanguage of terminology definitions that analyses a definition into its logical form, which in turn is mapped onto a frame-based representation. The logical form is based on first-order logic (FOL) extended with untyped lambda calculus. Our approach is data-driven and domain independent; it has been applied to definitions of various domains. Experiments were conducted with human subjects to evaluate the information acquired by the system. The results of the preliminary evaluation were encouraging.

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Srinivasan, Sriram. "Knowledge-based speech enhancement." Doctoral thesis, Stockholm, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-456.

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Duh, Chinmiin. "Argumentation-based knowledge transformation." Thesis, Royal Holloway, University of London, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251955.

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Murphy, Maureen T. "Knowledge-based technology transfer." Thesis, University of Ulster, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.386271.

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Overington, John Paul. "Knowledge-based protein modelling." Thesis, Birkbeck (University of London), 1991. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.715106.

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The automated protein modelling program COMPOSER is tested and improved. A test case of the model building of trypsin is described. Prior to the enhancements made to the program the RMSD of the automatically built model was 3.46A, after the improvements this figure is reduced to 1.58A. The program was applied to two ’real-life’ problems from the pharmaceutical industry. The first is the modelling of the serine proteinase domain of tissue-type plasminogen activator. Predictions are made as to residues likely to be important in binding specific endogenous inhibitors. The second example is the modelling of the proteinase from HIV-l on the basis of structures of the distantly related aspartic proteinases and later on the more similar structure of RSV proteinase. The model was later used in the molecular replacement derived solution of the x-ray structure of HIV -1 proteinase.

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Sharman, David Buchanan. "Knowledge based image processing." Thesis, University of Glasgow, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.257002.

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Brockmans, Sara. "Metamodel-based Knowledge Representation." [S.l. : s.n.], 2007. http://digbib.ubka.uni-karlsruhe.de/volltexte/1000007322.

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Rivest, François. "Knowledge transfer in neural networks : knowledge-based cascade-correlation." Thesis, McGill University, 2002. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=29470.

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Most neural network learning algorithms cannot use knowledge other than what is provided in the training data. Initialized using random weights, they cannot use prior knowledge such as knowledge stored in previously trained networks. This manuscript thesis addresses this problem. It contains a literature review of the relevant static and constructive neural network learning algorithms and of the recent research on transfer of knowledge across neural networks. Manuscript 1 describes a new algorithm, named knowledge-based cascade-correlation (KBCC), which extends the cascade-correlation learning algorithm to allow it to use prior knowledge. This prior knowledge can be provided as, but is not limited to, previously trained neural networks. The manuscript also contains a set of experiments that shows how KBCC is able to reduce its learning time by automatically selecting the appropriate prior knowledge to reuse. Manuscript 2 shows how KBCC speeds up learning on a realistic large problem of vowel recognition.

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Schmidt, Daniel P. "Identifying Knowledge Gaps Using a Graph-based Knowledge Representation." Wright State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1588866076446257.

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Books on the topic "Knowledge-based"

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Alterovitz, Gil, and Marco Ramoni, eds. Knowledge-Based Bioinformatics. Chichester, UK: John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470669716.

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Pedrycz, Witold. Knowledge-Based Clustering. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471708607.

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Fishwick, Paul A., and Richard B. Modjeski, eds. Knowledge-Based Simulation. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-3040-3.

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commission, European. Knowledge-based Europe. [Brussels?: European Commission, 1998.

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Tyugu, Ė Kh. Knowledge-based programming. Workingham, England: Turing Institute Press in association with Addison-Wesley, 1987.

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Pedrycz, Witold. Knowledge-Based Clustering. New York: John Wiley & Sons, Ltd., 2005.

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Knowledge-based programming. Wokingham: Turing Institute, 1987.

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Priti, Sajja, ed. Knowledge-based systems. Sudbury, Mass: Jones and Bartlett, 2010.

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Carrillo, F. J. Knowledge-based development. Edited by ebrary Inc. Bradford, England: Emerald Group Publishing, 2002.

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commission, European. Knowledge-based Europe. [Brussels?: European Commission, 1998.

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Book chapters on the topic "Knowledge-based"

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Neumann, Eric Karl. "Knowledge-Based Bioinformatics." In Knowledge-Based Bioinformatics, 1–32. Chichester, UK: John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470669716.ch1.

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Kabir, Mitt Nowshade. "Knowledge." In Knowledge-Based Social Entrepreneurship, 137–62. New York: Palgrave Macmillan US, 2019. http://dx.doi.org/10.1057/978-1-137-34809-8_5.

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DIEDERICH, Joachim, and Marc LINSTER. "Knowledge-Based Knowledge Elicitation." In Studies in Computer Science and Artificial Intelligence, 323–50. Elsevier, 1989. http://dx.doi.org/10.1016/b978-0-444-87321-7.50017-x.

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Ellis, Steve. "Managing knowledge-based working and knowledge workers." In Knowledge-Based Working, 27–61. Elsevier, 2005. http://dx.doi.org/10.1016/b978-1-84334-120-8.50002-2.

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"Knowledge-Based Configuration." In Knowledge-Based Configuration, i. Elsevier, 2014. http://dx.doi.org/10.1016/b978-0-12-415817-7.00028-1.

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MEHDIOWRANGO, M. "Using Domain Knowledge in Knowledge DiscoveryAn Optimization Perspective." In Knowledge-Based Systems, 497–534. Elsevier, 2000. http://dx.doi.org/10.1016/b978-012443875-0/50018-5.

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Wickramasinghe, Nilmini, and Dag Von Lubitz. "Creating Organizational Knowledge." In Knowledge-Based Enterprise, 42–63. IGI Global, 2007. http://dx.doi.org/10.4018/978-1-59904-237-4.ch003.

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This book provides comprehensive coverage of all areas (people, process, and technology) necessary to become a knowledge-based enterprise. It presents several frameworks facilitating the implementation of a KM initiative and its ongoing management so that pertinent knowledge and information are always available to the decision maker, and so the organization may always enjoy a sustainable competitive advantage

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Wickramasinghe, Nilmini, and Dag Von Lubitz. "Managing Knowledge Complexity." In Knowledge-Based Enterprise, 187–225. IGI Global, 2007. http://dx.doi.org/10.4018/978-1-59904-237-4.ch008.

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This book provides comprehensive coverage of all areas (people, process, and technology) necessary to become a knowledge-based enterprise. It presents several frameworks facilitating the implementation of a KM initiative and its ongoing management so that pertinent knowledge and information are always available to the decision maker, and so the organization may always enjoy a sustainable competitive advantage

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TSATSOULIS, C., and A. WILLIAMS. "Case-Based Reasoning." In Knowledge-Based Systems, 807–37. Elsevier, 2000. http://dx.doi.org/10.1016/b978-012443875-0/50028-8.

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"Bibliography." In Knowledge-Based Clustering, 297–313. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471708607.biblio.

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Conference papers on the topic "Knowledge-based"

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Mehmetaj, Nevila. "Relationship between Exchange Rate and Trade Balance Pre and after COVID-19 – Albania Case Study." In ERAZ: KNOWLEDGE BASED SUSTAINABLE DEVELOPMENT. Association of Economists and Managers of the Balkans – Belgrade, Serbia, 2022. http://dx.doi.org/10.31410/eraz.2022.23.

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This study attempts to identify the relationship between the real exchange rate and trade balance in Albania with its major trading partner Italy. Due to the severe lockdown and restrictions policies in response to Covid-19 measures, there were important effects on the evolution of trade. Quarterly data from 2008 to 2022 are used in several econometric methods such as unit root tests, cointegration techniques, Granger test, and vector error correction model (VECM). The main findings of this study are that domestic income and exchange rate show a long-run positive relationship to the trade balances. Devaluation of the domestic currency will improve the trade balance in the long run, consistent with the Marshall-Lerner condition.

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Tian, Chujun, Hongzhi Yu, and Xianghe Meng. "Knowledge Reasoning Based on Knowledge Graph." In Proceedings of the 2018 3rd International Conference on Advances in Materials, Mechatronics and Civil Engineering (ICAMMCE 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/icammce-18.2018.70.

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Berberich, M., and S. Bamberger. "Building Web-based knowledge clusters." In IEE Colloquium on Web-Based Knowledge Servers. IEE, 1998. http://dx.doi.org/10.1049/ic:19980532.

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Riva, A., R. Bellazzi, and S. Montani. "A knowledge-based Web server as a development environment for Web-based knowledge servers." In IEE Colloquium on Web-Based Knowledge Servers. IEE, 1998. http://dx.doi.org/10.1049/ic:19980533.

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Halpern, Joseph, Yjoram Moses, and Mark Tuttle. "A knowledge-based analysis of zero knowledge." In the twentieth annual ACM symposium. New York, New York, USA: ACM Press, 1988. http://dx.doi.org/10.1145/62212.62224.

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Shadbolt, N. R., and R. K. Stobart. "Knowledge acquisition for knowledge based process control." In the third international conference. New York, New York, USA: ACM Press, 1990. http://dx.doi.org/10.1145/98894.99139.

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Simmons, D., N. Ellis, and J. Stanley. "Knowledge sharing between distributed knowledge based systems." In Eleventh Annual International Phoenix Conference on Computers and Communication [1992 Conference Proceedings]. IEEE, 1992. http://dx.doi.org/10.1109/pccc.1992.200509.

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Liu, Zhao, and Yixin Chen. "Positioning Appropriate Knowledge in Knowledge-based Systems." In the 2019 International Conference. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3335550.3335554.

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Yang, Caiyi, Luoyi Fu, and Xiaoying Gan. "Evolving Knowledge Graph-Based Knowledge Diffusion Model." In 2021 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2021. http://dx.doi.org/10.1109/wcnc49053.2021.9417427.

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Wang, Jun, and Qingzhi Meng. "Knowledge Representation for Knowledge-based Generative CAPP." In 2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop (KAM 2008 Workshop). IEEE, 2008. http://dx.doi.org/10.1109/kamw.2008.4810663.

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Reports on the topic "Knowledge-based"

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McDermott, Drew, and Gregory Hager. Knowledge-Based Planning. Fort Belvoir, VA: Defense Technical Information Center, September 1993. http://dx.doi.org/10.21236/ada279697.

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McDermott, Drew, and Gregory Hager. Knowledge-Based Planning. Fort Belvoir, VA: Defense Technical Information Center, September 1992. http://dx.doi.org/10.21236/ada257209.

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Chandrasekaran, B. Distributed Knowledge-Based Systems. Fort Belvoir, VA: Defense Technical Information Center, March 1989. http://dx.doi.org/10.21236/ada211984.

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Feigenbaum, Edward A., Robert S. Engelmore, and Paul C. Rosenbloom. Knowledge-Based Systems Research. Fort Belvoir, VA: Defense Technical Information Center, August 1990. http://dx.doi.org/10.21236/ada277505.

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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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Shrobe, Howard. Knowledge Based Collaboration Webs. Fort Belvoir, VA: Defense Technical Information Center, March 2003. http://dx.doi.org/10.21236/ada412519.

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Feigenbaum, Edward A., Robert S. Engelmore, and Paul C. Rosenbloom. Knowledge-Based Systems Research. Fort Belvoir, VA: Defense Technical Information Center, August 1990. http://dx.doi.org/10.21236/ada225816.

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Reiter, Ehud. Knowledge-Based Automatic Graph Layout. Fort Belvoir, VA: Defense Technical Information Center, June 1995. http://dx.doi.org/10.21236/ada296735.

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Smith, Douglas R., and Thomas T. Pressburger. Knowledge-Based Software Development Tools. Fort Belvoir, VA: Defense Technical Information Center, September 1993. http://dx.doi.org/10.21236/ada265218.

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Smith, Marshall. Socially Relevant Knowledge Based Telemedicine. Fort Belvoir, VA: Defense Technical Information Center, October 2012. http://dx.doi.org/10.21236/ada574230.

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