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1

Sheth, A. Semantic web: Ontology and knowledge base enabled tools, services, and applications. Information Science Reference, 2013.

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2

1936-, Garcia Oscar N., and Chien Yi-Tzuu 1938-, eds. Knowledge-based systems: Fundamentals and tools. IEEE Computer Society Press, 1991.

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3

Mira, José, Angel Pasqual del Pobil, and Moonis Ali, eds. Methodology and Tools in Knowledge-Based Systems. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-64582-9.

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4

International, Conference on Industrial &. Engineering Applications of Artificial Intelligence &. Expert Systems (11th 1998 Castellón Spain). Methodology and tools in knowledge-based systems. Springer, 1998.

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5

Allen, James G. A knowledge-based system design/information tool. Ames Research Center, 1990.

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6

E, Sikora Scott, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. A knowledge-based system design/information tool. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

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7

E, Sikora Scott, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. A knowledge-based system design/information tool. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

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8

Vermesan, Anca. Validation and Verification of Knowledge Based Systems: Theory, Tools and Practice. Springer US, 1999.

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9

W, Koers Albert, ed. Knowledge based systems in law: In search of methodologies and tools. Kluwer Law and Taxation Publishers, 1989.

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10

Anca, Vermesan, Coenen Frans 1957-, Norske Veritas (Organization), British Computer Society. Specialist Group on Expert Systems., and European Symposium on Verification and Validation of Knowledge Based Systems and Components (5th : 1999 : Oslo, Norway), eds. Validation and verification of knowledge based systems: Theory, tools, and practice. Kluwer Academic, 1999.

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11

Musen, Mark A. Generation of model-based knowledge-acquisition tools for clinical-trial advice systems. Dept. of Computer Science, Stanford University, 1988.

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12

Lewandowska, Kate. From publishing tool to knowledge base: An evaluation of UK charities intranets. LCP, 2002.

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13

Rogers, James L. A knowledge-based tool for multilevel decomposition of a complex design problem. Langley Research Center, 1989.

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14

Rogers, James L. A knowledge-based tool for multilevel decomposition of a complex design problem. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.

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15

United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., ed. A knowledge-based tool for multilevel decomposition of a complex design problem. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.

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16

L, Rogers James. A knowledge-based tool for multilevel decomposition of a complex design problem. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.

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17

United States. National Aeronautics and Space Administration., ed. Optimization of knowledge-based systems and expert system building tools: Final technical report. National Aeronautics and Space Administration, 1993.

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18

Yasuda, Phyllis. Optimization of knowledge-based systems and expert system building tools: Final technical report. National Aeronautics and Space Administration, 1993.

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19

Mackall, Dale A. A knowledge-based system design/information tool for aircraft flight control systems. National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1990.

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20

Mackall, Dale A. A knowledge-based system design/information tool for aircraft flight control systems. National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1990.

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21

Mackall, Dale A. A knowledge-based system design/information tool for aircraft flight control systems. National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1990.

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22

1935-, Lasker G. E., International Institute for Advanced Studies in Systems Research and Cybernetics., and International Conference on Systems Research, Informatics and Cybernetics (9th : 1997 : Baden-Baden, Germany), eds. Advances in database and expert systems: Design issues, data mining, object-oriented databases, generic model for knowledge bases, rapid database prototyping, knowledge-based tools in decision support systems. International Institute for Advanced Studies in Systems Research and Cybernetics, 1997.

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23

Varlamov, Oleg. Fundamentals of creating MIVAR expert systems. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1513119.

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Methodological and applied issues of the basics of creating knowledge bases and expert systems of logical artificial intelligence are considered. The software package "MIV Expert Systems Designer" (KESMI) Wi!Mi RAZUMATOR" (version 2.1), which is a convenient tool for the development of intelligent information systems. Examples of creating mivar expert systems and several laboratory works are given. The reader, having studied this tutorial, will be able to independently create expert systems based on KESMI. 
 The textbook in the field of training "Computer Science and Computer Engineering"
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24

Quail, William Samuel. A knowledge based tool for teaching SSADM with graphics enhancement and contextual help. The author], 1990.

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25

Coborozos, C. A workflow animation tool, based on the modelling component of the enterprise knowledge development approach. UMIST, 1997.

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26

Anna, Provancha, Chattam David, and United States. National Aeronautics and Space Administration., eds. Validation of automated payload experiment tool: Final technical report for period 11 September 1992 through 30 July 1995. Research Institute, University of Alabama in Huntsville, 1995.

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27

C, Durley Cynthia, and Dental Assisting National Board, Inc., eds. The DANB review: The official preparation tool for DANB's national certification of knowledge-based certificate of competency programs. 3rd ed. Dental Assisting National Board, Inc., 2005.

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28

Chuvikov, Dmitriy. Models and algorithms for reconstruction and examination of emergency events of road accidents based on logical artificial intelligence. 2nd ed. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1220729.

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The purpose of the monograph is to create a methodology, combined expert and simulation models, as well as algorithms and software-modeling tools for reconstruction and examination of accident events for automating decision-making by an expert center employee.
 The methodology of combining and algorithms of joint work of an expert system based on logical artificial intelligence (mivar approach) and a simulation system for solving problems of reconstruction and examination of road accidents are developed; model reconstruction and examination of the accident in the formalism of the knowledg
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29

Biere, Armin. Tools and Algorithms for the Construction and Analysis of Systems: 26th International Conference, TACAS 2020, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2020, Dublin, Ireland, April 25–30, 2020, Proceedings, Part II. Springer Nature, 2020.

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30

Biere, Armin. Tools and Algorithms for the Construction and Analysis of Systems: 26th International Conference, TACAS 2020, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2020, Dublin, Ireland, April 25–30, 2020, Proceedings, Part I. Springer Nature, 2020.

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31

Varlamov, Oleg. Mivar databases and rules. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1508665.

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The multidimensional open epistemological active network MOGAN is the basis for the transition to a qualitatively new level of creating logical artificial intelligence. Mivar databases and rules became the foundation for the creation of MOGAN. The results of the analysis and generalization of data representation structures of various data models are presented: from relational to "Entity — Relationship" (ER-model). On the basis of this generalization, a new model of data and rules is created: the mivar information space "Thing-Property-Relation". The logic-computational processing of data in th
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32

Eliseeva, Evgeniya, Ol'ga Shipkova, Aleksandra Kuz'mina, and Lazar' Badalov. Financial strategies and instruments. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2125939.

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The textbook introduces readers to the fundamental theoretical concepts of financial strategizing and modeling, and provides an insight into modern approaches, tools, and technologies of financial analysis. Special attention is paid to the transformation of the financial management system based on digital technologies. The combination of theory and practical examples serves as the basis for a deeper understanding of the content of the discipline. At the end of each chapter, literature is offered for additional study and a workshop containing questions for self-control and practice-oriented tas
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33

Paloscia, Raffaele, Simone Spellucci, and Luca Spitoni. La Habana del Este. Firenze University Press, 2022. http://dx.doi.org/10.36253/978-88-5518-503-5.

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The Atlas of Territorial Heritage in the Municipality of East Havana is a useful tool in order to reach a complete knowledge of an extended Cuban municipality belonging to Havana, Cuba. At the same time the atlas is useful to generate analytical bases for future urban planning interventions and transformations, which can be focused on the idea of territorial heritage as an essential resource for a self-sustaining development. The main objective is to explain the tangible and intangible components of the heritage and try to stimulate and strengthen the community’s awareness on the richness of t
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34

Varlamov, Oleg. 18 examples of mivar expert systems. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1248446.

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Many years of research on mivar technologies of logical artificial intelligence have allowed us to create a new powerful, versatile and fast tool, which is called "multidimensional open gnoseological active net" — "multidimensional open gnoseological active net: MOGAN". This tool allows you to quickly and easily design algorithms and work with logical reasoning in the "If..., Then..." format, and it can be used to model cause-and-effect relationships in different subject areas and create knowledge bases of new-generation applied artificial intelligence systems and real-time mivar expert system
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35

Knowledge-Based Systems: Fundamentals and Tools. Institute of Electrical & Electronics Enginee, 1992.

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36

Automated Generation of Model-Based Knowledge-Acquisition Tools. Elsevier Science & Technology Books, 1993.

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37

Knowledge Management Tools and Techniques. Elsevier Butterworth Heinemann, 2004.

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38

Lim, Jeen-Su. Strategic marketing analysis: Business intelligence tools for knowledge based actions. Pearson Custom Pub, 1999.

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39

Validation and Verification of Knowledge Based Systems - Theory, Tools and Practice. Springer, 1999.

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40

Al-Mubaraki, Hanadi Mubarak, Ali Husain Muhammad, and Michael Busler. Innovation and Entrepreneurship: Powerful Tools for a Modern Knowledge-Based Economy. Springer, 2014.

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41

Al-Mubaraki, Hanadi Mubarak, Ali Husain Muhammad, and Michael Busler. Innovation and Entrepreneurship: Powerful Tools for a Modern Knowledge-Based Economy. Springer, 2014.

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42

Anbarasu, Arangasamy, and Jack I. Lane. Imaging procedures and techniques. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199551002.003.0009.

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Biopsy of the central skull base and neck can be an intimidating procedure. However, the principles of biopsy in this region are similar to techniques used in all other areas of the body. The key to a successful biopsy is knowledge of the skull base and cervical anatomy, knowledge of your patient and familiarity with a limited number of biopsy tools.
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43

Zhang, Jie. A prototype of tape tuning system with knowledge-based techniques. 1990.

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44

Musen, Mark A. Automated Generation of Model-Based Knowledge-Acquisition Tools (Research Notes in Artificial Intelligence). Morgan Kaufmann, 1989.

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45

Automated Generation of Model Based Knowledge Acquisition Tools (Research Notes in Artificial Intelligence). Hyperion Books, 1989.

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46

Food and Agriculture Organization of the United Nations. Food Control System Assessment Tool: Dimension d - Science/knowledge Base and Continuous Improvement. Food & Agriculture Organization of the United Nations, 2020.

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47

Coenen, Frans, and Trevor Bench-Capon. Maintenance of Knowledge-Based Systems: Theory, Techniques and Tools (Apic Studies in Data Processing). Academic Pr, 1993.

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48

Maintenance of Knowledge-Based Systems: Theory, Techniques and Tools (Apic Studies in Data Processing). Academic Pr, 1993.

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49

Tieman, Jennifer J., and David C. Currow. Informatics and Literature Search. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199656097.003.0073.

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Health information technology is changing how health professionals engage with and use knowledge and how health systems organize care. Tools and resources can facilitate access to evidence and enable its application in practice improving outcomes for the individual patient and for the health-care system. However, the quality of these applications relies on the quality and currency of the domain knowledge that is embedded within them and distributed through them. Therefore being able to identify and retrieve palliative care’s evidence base is more critical than ever. Given the complexity of tim
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A knowledge-based system design/information tool for aircraft flight control systems. National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1990.

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