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1

Winter, Robert, and Richard Baskerville. "Science of Business & Information Systems Engineering." Business & Information Systems Engineering 2, no. 5 (2010): 269–70. http://dx.doi.org/10.1007/s12599-010-0123-7.

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Scheer, August-Wilhelm. "Business and Information Systems Engineering Links Science with Entrepreneurship." Business & Information Systems Engineering 1, no. 1 (2008): 75–80. http://dx.doi.org/10.1007/s12599-008-0001-8.

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3

Garcia, Oscar N., and Garima Bajwa. "Integration of Quantum Information Systems in Computer Science and in Electrical Engineering." Journal of Integrated Design and Process Science 19, no. 4 (2016): 9–20. http://dx.doi.org/10.3233/jid-2015-0019.

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4

Jarke, Matthias. "Perspectives in the Interplay Between Business and Information Systems Engineering and Computer Science." Business & Information Systems Engineering 1, no. 1 (2008): 70–74. http://dx.doi.org/10.1007/s12599-008-0021-4.

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5

Lerner, Vladimir S. "Systems science, information systems theory, and informational macrodynamics: review." Kybernetes 36, no. 2 (2007): 192–224. http://dx.doi.org/10.1108/03684920710741224.

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6

McKay, Judy, Peter Marshall, and Rudy Hirschheim. "The Design Construct in Information Systems Design Science." Journal of Information Technology 27, no. 2 (2012): 125–39. http://dx.doi.org/10.1057/jit.2012.5.

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This paper arose from concerns regarding the current conceptualizations of ‘design’ in the emerging literature on design science (DS) in information systems (IS). In this paper, we argue that current conceptualizations of design in IS are overly narrow, which necessarily limits what is viewed as acceptable DS research. In response we advance a more encompassing view of design. The revised view extends the current perspectives of design in the IS literature to embrace broader conceptualizations of design, which are evident in many intellectual communities outside IS where design is viewed as a
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7

Briggs, Robert O., Jay F. Nunamaker, and Justin S. Giboney. "Guest Editors’ Introduction: On the Contributions of Applied Science/Engineering Research to Information Systems." Journal of Management Information Systems 32, no. 3 (2015): 3–9. http://dx.doi.org/10.1080/07421222.2015.1094955.

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8

Awipi, M., S. S. Devgan, and S. Tetenbaum. "Curriculum for a Bachelor of Science degree with a major in information systems engineering." IEEE Transactions on Education 32, no. 1 (1989): 56–59. http://dx.doi.org/10.1109/13.21164.

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9

Elmore, John. "Engineering information systems." Computing & Control Engineering Journal 3, no. 6 (1992): 255. http://dx.doi.org/10.1049/cce:19920069.

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10

Scheufele, Dietram A., and Nicole M. Krause. "Science audiences, misinformation, and fake news." Proceedings of the National Academy of Sciences 116, no. 16 (2019): 7662–69. http://dx.doi.org/10.1073/pnas.1805871115.

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Concerns about public misinformation in the United States—ranging from politics to science—are growing. Here, we provide an overview of how and why citizens become (and sometimes remain) misinformed about science. Our discussion focuses specifically on misinformation among individual citizens. However, it is impossible to understand individual information processing and acceptance without taking into account social networks, information ecologies, and other macro-level variables that provide important social context. Specifically, we show how being misinformed is a function of a person’s abili
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Hatakeyama, Yutaka. "Special Issue on Information Medical Science." Journal of Advanced Computational Intelligence and Intelligent Informatics 16, no. 1 (2012): 25. http://dx.doi.org/10.20965/jaciii.2012.p0025.

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One important and interesting application in computational intelligence technology is medical application. Medical engineering research covers such areas as medical image processing. With most health information now described electronically, hospitals are accumulating large amounts of medical data, including imaging, text, and structured materials. This has made ginformation medical scienceh vastly more important in improving healthcare technology. This special issue introduces an application based on hospital data, medical care support systems, and medical image processing. The application
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Glass, Robert L. "A comparative analysis of the topic areas of computer science, software engineering, and information systems." Journal of Systems and Software 19, no. 3 (1992): 277–89. http://dx.doi.org/10.1016/0164-1212(92)90056-p.

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13

LUO, ZONG-PING, and KAI-NAN AN. "FUZZY SYSTEMS IN BIOMEDICAL SCIENCE." International Journal of General Systems 30, no. 2 (2001): 209–17. http://dx.doi.org/10.1080/03081070108960706.

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14

MacDonald, IG. "Automating information engineering." Information and Software Technology 30, no. 6 (1988): 393–400. http://dx.doi.org/10.1016/0950-5849(88)90017-1.

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15

Wang, Yingxu. "On the Mathematical Theories and Cognitive Foundations of Information." International Journal of Cognitive Informatics and Natural Intelligence 9, no. 3 (2015): 42–64. http://dx.doi.org/10.4018/ijcini.2015070103.

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A recent discovery in computer and software sciences is that information in general is a deterministic abstract quantity rather than a probability-based property of the nature. Information is a general form of abstract objects represented by symbolical, mathematical, communication, computing, and cognitive systems. Therefore, information science is one of the contemporary scientific disciplines collectively known as abstract sciences such as system, information, cybernetics, cognition, knowledge, and intelligence sciences. This paper presents the cognitive foundations, mathematical models, and
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LU, ZHONGYU. "A SURVEY OF XML APPLICATIONS ON SCIENCE AND TECHNOLOGY." International Journal of Software Engineering and Knowledge Engineering 15, no. 01 (2005): 1–33. http://dx.doi.org/10.1142/s0218194005001902.

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Scientific data/documents play a significant role in academic research and industrial applications. In the era of information fusion, building knowledge and content management systems is necessary, particularly in multidisciplinary and interdisciplinary research. This paper discusses an overview about the impact of XML in knowledge and content management systems in science and technology; extends to the integration and implementation including the discussions of infrastructures, methodologies, some typical examples in case studies; finally, it ends with future research and development in a new
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17

Hevner, Alan R. "Information systems development: An introduction to information systems engineering - (2nd edn)." Information and Software Technology 36, no. 6 (1994): 373. http://dx.doi.org/10.1016/0950-5849(94)90037-x.

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18

Lytras, Miltiadis D., and Anna Visvizi. "Big Data Research for Social Science and Social Impact." Sustainability 12, no. 1 (2019): 180. http://dx.doi.org/10.3390/su12010180.

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This Special Issue of Sustainability devoted to the topic of “Big Data Research for Social Sciences and Social Impact” attracted significant attention of scholars, practitioners, and policy-makers from all over the world. Locating themselves at the cross-section of advanced information systems and computer science research and insights from social science and engineering, all papers included in this Special Issue contribute to the debate on the use of big data in social sciences and big data social impact. By promoting a debate on the multifaceted challenges that our societies are exposed to t
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Suzuki, Hiroshi, and Hirofumi Fukumaru. "Suzuki, Narahara, Koresawa Laboratory, Department of Mechanical Information Science and Technology, Faculty of Computer Science and Systems Engineering , Kyushu Institute of Technology." Seikei-Kakou 20, no. 5 (2008): 296–99. http://dx.doi.org/10.4325/seikeikakou.20.296.

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20

Twine, S. "Information engineering: introduction (book 1) Information engineering: planning and analysis (book 2)." Information and Software Technology 34, no. 1 (1992): 66–67. http://dx.doi.org/10.1016/0950-5849(92)90097-9.

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21

Korn, Janos. "From the systemic view to systems science." Kybernetes 40, no. 1/2 (2011): 23–46. http://dx.doi.org/10.1108/03684921111117915.

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22

Li, Guang Jie, and Shu Qing Ma. "Research on Development of Sports Information Management Systems." Advanced Materials Research 926-930 (May 2014): 2594–97. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2594.

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Development and management of sports information systems is the primary means of sports information management, information systems development must be based on needs of users sports information, by using the methods of software engineering, according to the steps of systems analysis, systems design, systems evaluation and implementation. The purpose of this paper is to grasp the sport science information management concepts, basic theoretical characteristics, content, to provide scientific guidance for the sports information management practices. In this paper, structured analysis method to c
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23

Ингеманссон, Александр, and Aleksandr Ingemansson. "Development of structure and functioning mechanisms of information-executive cyberphysical systems in machining production." Science intensive technologies in mechanical engineering 2, no. 11 (2017): 40–45. http://dx.doi.org/10.12737/article_59f074a7a5e088.16975906.

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It is defined that mechanical engineering efficiency increase at the expense of the introduction of science intensive information-executive cyberphysical systems should be realized in mechanical engineering first. The problems of the structure and mechanism of cyberphysical systems and directions for the efficiency increase of machining engineering procedures are considered.
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24

Wang, Yingxu, George Baciu, Yiyu Yao, et al. "Perspectives on Cognitive Informatics and Cognitive Computing." International Journal of Cognitive Informatics and Natural Intelligence 4, no. 1 (2010): 1–29. http://dx.doi.org/10.4018/jcini.2010010101.

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Cognitive informatics is a transdisciplinary enquiry of computer science, information sciences, cognitive science, and intelligence science that investigates the internal information processing mechanisms and processes of the brain and natural intelligence, as well as their engineering applications in cognitive computing. Cognitive computing is an emerging paradigm of intelligent computing methodologies and systems based on cognitive informatics that implements computational intelligence by autonomous inferences and perceptions mimicking the mechanisms of the brain. This article presents a set
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25

AKINCI, T. Çetin. "A vıew to cognItıve engıneerıng." International Conference on Technics, Technologies and Education, ICTTE 2019 (2019): 29–34. http://dx.doi.org/10.15547/ictte.2019.01.105.

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Cognitive engineering is the application of artificial intelligence, cognitive psychology and many different disciplines to human-machine systems with various software hardware elements. Cognitive engineering is supported by engineering disciplines and health, medical, psychology, sociology and even philosophical sciences. In this sense, it can be accepted as an interdisciplinary new science. Cognitive engineering is the transformation of human thought and psychology, even philosophy, into systems by modelling with software programs. Thus, machines or systems can be provided with more humane t
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26

KLIR, GEORGE J., KEVIN D. HUFFORD, and MILAN ZELENY. "OSMOTIC GROWTHS: A CHALLENGE TO SYSTEMS SCIENCE." International Journal of General Systems 14, no. 1 (1988): 1–17. http://dx.doi.org/10.1080/03081078808934989.

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27

CASTANO, SILVANA, and VALERIA DE ANTONELLIS. "REFERENCE CONCEPTUAL ARCHITECTURES FOR RE-ENGINEERING INFORMATION SYSTEMS." International Journal of Cooperative Information Systems 04, no. 02n03 (1995): 213–35. http://dx.doi.org/10.1142/s0218843095000093.

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System evolution and re-engineering are becoming increasingly important as the size and complexity of Information Systems continue to grow. The paper addresses the problems related to the development of abstraction mechanisms for building reference conceptual architectures of Information Systems, i.e. standardized descriptions of their most significant concepts, to be used for matching and validating changes to the system.
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28

Dzitac, Ioan, and Misu-Jan Manolescu. "Contributions of Florin Gheorghe Filip in Information Science and Technology." International Journal of Computers Communications & Control 12, no. 4 (2017): 449. http://dx.doi.org/10.15837/ijccc.2017.4.2960.

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Romanian scientist Florin Gheorghe Filip was born in 1947 and this year he turns 70. F.G. Filip is an engineer and Ph.D. in control engineering and computer science. Still very young, he became corresponding member of the Romanian Academy in 1991 (when he was only 44 years old), and, at 52 years old (1999), become full member in the highest learned society of Romania. From 1970 to 2000, he worked at the National R&D Institute in Informatics Bucharest (ICI). For 10 years, during 2000-2010, he was Vice President of the Romanian Academy. In 2010, he was elected President of the "Information S
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29

Wu, Bing, and Chen Yan Zhang. "Advances in Information Foraging Research." Applied Mechanics and Materials 701-702 (December 2014): 1376–79. http://dx.doi.org/10.4028/www.scientific.net/amm.701-702.1376.

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Information Foraging Theory (IFT) explains and predicts how people navigate in response to the information in their environment. It has proven particularly helpful in both behavior prediction and practical utility for Web design. We gleaned from science citation index expanded (SCI-EXPANED) and Social Sciences Citation Index (SSCI) database on web of science, concerning advances in information foraging research. The result indicates that the main research territory is USA accounting for 64.706%, then followed by IRELAND of 11.765%. Accordingly, the organizations are Indiana Univ Natl Univ Irel
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30

Riznyk, Volodymyr. "Big Data Process Engineering under Manifold Coordinate Systems." WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS 18 (April 2, 2021): 7–11. http://dx.doi.org/10.37394/23209.2021.18.2.

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This paper involves techniques for improving the quality indices of big data process engineering with respect to high-performance coded design, transmission speed, and reliability under manifold coordinate systems. The system formed with limited number of basis vectors. The set of modular sums of the vectors including themselves form t-dimensional toroidal coordinate grid over the toroid, and the basis is sub-set of general number of grid coordinate set. These design techniques make it possible to configure high performance information technology for big data coding design and vector signal pr
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31

Ткачук, Вікторія, Вадим Щокін, and Віталій Тронь. "The Model of Use of Mobile Information and Communication Technologies in Learning Computer Sciences to Future Professionals in Engineering Pedagogy." Педагогіка вищої та середньої школи 51 (December 13, 2018): 136–46. http://dx.doi.org/10.31812/pedag.v51i0.3663.

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Tkachuk V.V., Shchokin V.P. and Tron V.V. The Model of Use of Mobile Information and Communication Technologies in Learning Computer Sciences to Future Professionals in Engineering Pedagogy.
 Research goal: the research is aimed at developing a model of use of mobile ICT in learning Computer Sciences to future professionals in Engineering Pedagogy. Object of research is the model of use of mobileICT in learning Computer Sciences to future professionals in Engineering Pedagogy. Results of the research: the developed model of use of mobile ICT as tools of learning Computer Sciences to futur
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32

Esdaille, Caldon J., Kenyatta S. Washington, and Cato T. Laurencin. "Regenerative engineering: a review of recent advances and future directions." Regenerative Medicine 16, no. 5 (2021): 495–512. http://dx.doi.org/10.2217/rme-2021-0016.

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Regenerative engineering is defined as the convergence of the disciplines of advanced material science, stem cell science, physics, developmental biology and clinical translation for the regeneration of complex tissues and organ systems. It is an expansion of tissue engineering, which was first developed as a method of repair and restoration of human tissue. In the past three decades, advances in regenerative engineering have made it possible to treat a variety of clinical challenges by utilizing cutting-edge technology currently available to harness the body’s healing and regenerative abiliti
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33

Short, KW. "Methodology integration: evolution of information engineering." Information and Software Technology 33, no. 9 (1991): 720–32. http://dx.doi.org/10.1016/0950-5849(91)90045-d.

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34

Sarasua, Wayne A., and William J. Davis. "Addressing Educational Needs in Spatial Data, Information Science, and Geomatics in the Civil Engineering Undergraduate Curriculum." Transportation Research Record: Journal of the Transportation Research Board 1848, no. 1 (2003): 64–69. http://dx.doi.org/10.3141/1848-09.

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The technology-driven, rapidly advancing field of spatial data and information science (SDIS) is an integral part of numerous engineering professions. Many college civil engineering programs are struggling to find ways to accommodate this subject in an already crowded undergraduate curriculum. There are several reasons that taking a course in SDIS is desirable for civil engineers entering today’s demanding job market. First, technologies related to surveying, spatial data, and information science are among the fastest developing in the industry, and there is significant demand for skills in th
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35

Klir, George J. "W. Ross Ashby: a pioneer of systems science." International Journal of General Systems 38, no. 2 (2009): 175–88. http://dx.doi.org/10.1080/03081070802601434.

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36

TRONCALE, LEN. "SYSTEMS SCIENCE EDUCATION AT CALIFORNIA STATE UNIVERSITY, POMONA." International Journal of General Systems 19, no. 1 (1991): 47–69. http://dx.doi.org/10.1080/03081079108935162.

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37

Huang, Anpeng, and Linzhen Xie. "Healthinfo Engineering: Technology Perspectives from Evidence-Based mHealth Study in WE-CARE Project." International Journal of E-Health and Medical Communications 6, no. 1 (2015): 22–35. http://dx.doi.org/10.4018/ijehmc.2015010102.

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Driven by the commission to proliferate information and communication technologies to health services globally, a new multidisciplinary direction is born, which can be named as Health Information (termed as a new word, Healthinfo) Engineering. To highlight the significances of Healthinfo Engineering, the evidence-based mHealth study in the WE-CARE project demonstrates technology perspectives. In this project, the authors built up a WE-CARE system, which integrate various necessary information and communication technologies to fulfill online healthcare services, even including advances from rel
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38

J. Miah, Shah, Don Kerr, and Liisa von Hellens. "A collective artefact design of decision support systems: design science research perspective." Information Technology & People 27, no. 3 (2014): 259–79. http://dx.doi.org/10.1108/itp-04-2012-0041.

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Purpose – The knowledge of artefact design in design science research can have an important application in the improvement of decision support systems (DSS) development research. Recent DSS literature has identified a significant need to develop user-centric DSS method for greater relevance with respect to context of use. The purpose of this paper is to develop a collective DSS design artefact as method in a practical industry context. Design/methodology/approach – Under the influence of goal-directed interaction design principles the study outlines the innovative DSS artefact based on design
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39

Wigertz, O., J. Persson, and H. Ahlfeldt. "Teaching Medical Informatics to Biomedical Engineering Students: Experiences over 15 Years." Methods of Information in Medicine 28, no. 04 (1989): 309–12. http://dx.doi.org/10.1055/s-0038-1636807.

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Abstract:The Departments of Biomedical Engineering and Medical Informatics at Linkoping University in Sweden were established in 1972-1973. The main purpose was to develop and offer courses in medicine, biomedical engineering and medical informatics to students in electrical engineering and computer science, for a specialization in biomedical engineering and medical informatics. The courses total about 400 hours of scheduled study in the subjects of basic cell biology, basic medicine (terminology, anatomy, physiology), biomedical engineering and medical informatics. Laboratory applications of
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40

C-Y Cheung, L., S. Ip, and T. Holden. "Survey of artificial intelligence impacts on information systems engineering." Information and Software Technology 33, no. 7 (1991): 499–508. http://dx.doi.org/10.1016/0950-5849(91)90094-r.

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41

Kalibatiene, Diana, and Jolanta Miliauskaitė. "A Systematic Mapping with Bibliometric Analysis on Information Systems Using Ontology and Fuzzy Logic." Applied Sciences 11, no. 7 (2021): 3003. http://dx.doi.org/10.3390/app11073003.

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The ontology-based information systems (IS) development is beneficial for analyzing, conceptual modeling, designing, and re-engineering complex IS to be semantically enriched and suitable for sophisticated reasoning on the IS content. On the other hand, fuzzy theory employment to handle uncertainty and fuzziness in IS becomes a hot topic in different practical domains, such as engineering, IS, computer sciences, etc. As such, ontology- and fuzzy-based IS are being developed. Consequently, there is a need to provide a comprehensive systematic mapping study (SMS) to build a structure on the onto
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42

Gharib, Mohamad, and Paolo Giorgini. "Information quality requirements engineering with STS-IQ." Information and Software Technology 107 (March 2019): 83–100. http://dx.doi.org/10.1016/j.infsof.2018.11.002.

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43

Keramatfar, Abdalsamad, and Hossein Amirkhani. "Bibliometrics of sentiment analysis literature." Journal of Information Science 45, no. 1 (2018): 3–15. http://dx.doi.org/10.1177/0165551518761013.

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This article provides a bibliometric study of the sentiment analysis literature based on Web of Science (WoS) until the end of 2016 to evaluate current research trends, quantitatively and qualitatively. We concentrate on the analysis of scientific documents, distribution of subject categories, languages of documents and languages that have been more investigated in sentiment analysis, most prolific and impactful authors and institutions, venues of publications and their geographic distribution, most cited and hot documents, trends of keywords and future works. Our investigations demonstrate th
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Duff, Alistair S. "Social Engineering in the Information Age." Information Society 21, no. 1 (2005): 67–71. http://dx.doi.org/10.1080/01972240590895937.

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Giboney, Justin S., Robert Briggs, and Jay Nunamaker, Jr. "Special Section: Engineering Artifacts and Processes of Information Systems." Journal of Management Information Systems 36, no. 1 (2019): 11–13. http://dx.doi.org/10.1080/07421222.2018.1551763.

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46

Warfield, John N. "Obstacles to systems science programs in higher education: overview." International Journal of General Systems 36, no. 1 (2007): 79–89. http://dx.doi.org/10.1080/03081070600984271.

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47

Skyttner, Lars. "Systems theory and the science of military command and control." Kybernetes 34, no. 7/8 (2005): 1240–60. http://dx.doi.org/10.1108/03684920510606000.

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48

Skibniewski, Mirosław J., and Edmundas K. Zavadskas. "TECHNOLOGY DEVELOPMENT IN CONSTRUCTION: A CONTINUUM FROM DISTANT PAST INTO THE FUTURE." Journal of Civil Engineering and Management 19, no. 1 (2013): 136–47. http://dx.doi.org/10.3846/13923730.2012.756060.

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This paper deals with the historical and current trends in the development of civil engineering and construction technologies. The authors demonstrate the continuity of creative thought and effort among early master builders and technology developers throughout the history of civilizations that created the most iconic structures remaining in the world heritage of the built environment to the contemporary times. Recent concepts and ongoing efforts in the development of advanced construction technologies based on automation and information sciences, materials science and systems engineering are
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49

Shao, Lin, Lin Luo, and Hai Xia Qi. "Theoretical Construction of Sports Information Management and Research on Application System Development." Advanced Materials Research 926-930 (May 2014): 2759–62. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2759.

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Among the activities of sports management, planning and decision can't run without information, which is also regarded as main basis among organizing and controlling management process .Information systems development must be based on needs of users sports information, by using the methods of software engineering, according to the steps of systems analysis, systems design, systems evaluation and implementation. The purpose of this paper is to grasp the sport science information management concepts, basic theoretical characteristics, content, to provide scientific construction and management fo
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Paul, Prantosh Kumar. "The Context of IST for Solid Information Retrieval and Infrastructure Building." International Journal of Information Retrieval Research 8, no. 1 (2018): 86–100. http://dx.doi.org/10.4018/ijirr.2018010106.

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Development and progress mainly depends on education and its solid dissemination. Technologies as well as engineering solutions are important for the business and corporate houses. In this context, educational initiatives and programs play a vital role. Developing countries are suffering from many problems and therefore fostering new academic innovation and researches on economic development in today's context. Information Technologies and management science are important for solid business solutions. Therefore, education and knowledge dissemination play an important and valuable role. In many
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