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Journal articles on the topic 'KNOWLEDGE SYSTEMS'

Author: Grafiati

Published: 4 June 2021

Last updated: 29 January 2023

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1

Šilerová, E., and L. Kučírková. "Knowledge and information systems." Agricultural Economics (Zemědělská ekonomika) 54, No. 5 (June 13, 2008): 217–23. http://dx.doi.org/10.17221/245-agricecon.

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We can see that the today’s management level of informations is not quite fully controlled in most businesses. Nowadays generation of information systems creates support for business processes with the aim of optimalization of these processes on the bases of experiences with similar business processes. Today’s information systems are at the level of data management or information management. Quite a few manage information processes in the area of tactical and strategic planning and almost no one manages processes in the areas of gathering, distribution and sharing of knowledge in business. We can say, that investments to the information technologies do not guarantee the successful way to the management of information and knowledge in business.

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2

Damasio, Antonio R., and Daniel Tranel. "Knowledge systems." Current Biology 2, no. 4 (April 1992): 198. http://dx.doi.org/10.1016/0960-9822(92)90527-h.

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3

Damasio, Antonio R., and Daniel Trane. "Knowledge systems." Current Opinion in Neurobiology 2, no. 2 (April 1992): 186–90. http://dx.doi.org/10.1016/0959-4388(92)90010-i.

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4

Parasuraman. D, Parasuraman D. "Emerging Perspectives of Knowledge Management Systems." International Journal of Scientific Research 3, no. 7 (June 1, 2012): 282–84. http://dx.doi.org/10.15373/22778179/july2014/90.

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5

Johnson, N. E. "Knowledge based systems series Vol. 1: Knowledge acquisition for knowledge based systems Vol. 2: Knowledge acquisition tools for expert systems." Knowledge-Based Systems 3, no. 3 (September 1990): 181. http://dx.doi.org/10.1016/0950-7051(91)90030-6.

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6

Henderson, T., E. Weitz, C. Hansen, and A. Mitiche. "Multisensor Knowledge Systems." International Journal of Robotics Research 7, no. 6 (December 1988): 114–33. http://dx.doi.org/10.1177/027836498800700609.

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7

Galup, Stuart D., Ronald Dattero, and Richard C. Heeks. "Knowledge Management Systems." Information Resources Management Journal 15, no. 1 (January 2002): 22–27. http://dx.doi.org/10.4018/irmj.2002010103.

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8

Buchanan, Bruce G., Daniel Bobrow, Randall Davis, John McDermott, and Edward H. Shortliffe. "Knowledge-Based Systems." Annual Review of Computer Science 4, no. 1 (June 1990): 395–416. http://dx.doi.org/10.1146/annurev.cs.04.060190.002143.

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9

Kahn, M. G. "Knowledge-Based Systems." Yearbook of Medical Informatics 02, no. 01 (August 1993): 399–401. http://dx.doi.org/10.1055/s-0038-1637984.

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10

Priha, I. "Integrated knowledge systems." Artificial Intelligence in Engineering 4, no. 2 (April 1989): 70–78. http://dx.doi.org/10.1016/0954-1810(89)90002-2.

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11

Mainzer, Klaus. "Knowledge-based systems." Journal for General Philosophy of Science 21, no. 1 (March 1990): 47–74. http://dx.doi.org/10.1007/bf01801416.

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12

DAVIS, R. "Knowledge-Based Systems." Science 231, no. 4741 (February 28, 1986): 957–63. http://dx.doi.org/10.1126/science.231.4741.957.

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13

Alexander, Ian. "Knowledge Management Systems." European Journal of Information Systems 12, no. 1 (March 2003): 73–74. http://dx.doi.org/10.1057/palgrave.ejis.3000440.

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14

Gaines, Brian R. "Knowledge-support systems." Knowledge-Based Systems 3, no. 4 (December 1990): 192–203. http://dx.doi.org/10.1016/0950-7051(90)90096-z.

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15

Natek, Srečko, and Dušan Lesjak. "Knowledge management systems and tacit knowledge." International Journal of Innovation and Learning 29, no. 2 (2021): 166. http://dx.doi.org/10.1504/ijil.2021.112994.

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16

Rasmussen, Hannah Standing, and Nicole Haggerty. "Knowledge Appraisal and Knowledge Management Systems." Journal of Organizational and End User Computing 20, no. 1 (January 2008): 17–34. http://dx.doi.org/10.4018/joeuc.2008010102.

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17

Lesjak, Dušan, and Srečko Natek. "Knowledge management systems and tacit knowledge." International Journal of Innovation and Learning 29, no. 2 (2021): 166. http://dx.doi.org/10.1504/ijil.2021.10034239.

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18

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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19

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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20

Niwa, K. "Toward successful implementation of knowledge-based systems: expert systems versus knowledge sharing systems." IEEE Transactions on Engineering Management 37, no. 4 (1990): 277–83. http://dx.doi.org/10.1109/17.62323.

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21

Howells, Jeremy, and Joanne Roberts. "From Innovation Systems to Knowledge Systems." Prometheus 18, no. 1 (March 2000): 17–31. http://dx.doi.org/10.1080/08109020050000636.

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22

Vostrovský, V. "Expert systems utilization in knowledge management ." Agricultural Economics (Zemědělská ekonomika) 52, No. 10 (February 17, 2012): 451–55. http://dx.doi.org/10.17221/5050-agricecon.

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Knowledge and information are the key to successful pursuit of business activity. For the management knowledge, there can be employed among others the expert systems and eLearning. The article provides the expert systems utilization in knowledge management as the expert eLearning component. This solution then makes it possible to preserve the appropriate set of knowledge for a given business activity in knowledge bases and to pass this knowledge in the moment of need in the form of multimedia teaching applications to the appropriate employees.  

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23

Chakrabarti, Deepankar, Monika Arora, and Prayas Sharma. "Evaluating Knowledge Quality in Knowledge Management Systems." Journal of Statistics Applications & Probability 7, no. 1 (March 1, 2018): 75–83. http://dx.doi.org/10.18576/jsap/070107.

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24

Kim, Jae-Kyeong. "Knowledge acquisition for knowledge based decision systems." Applied Artificial Intelligence 11, no. 2 (March 1997): 131–50. http://dx.doi.org/10.1080/088395197118280.

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25

Wang, Sheng, Raymond A. Noe, and Zhong-Ming Wang. "Motivating Knowledge Sharing in Knowledge Management Systems." Journal of Management 40, no. 4 (July 28, 2011): 978–1009. http://dx.doi.org/10.1177/0149206311412192.

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26

Preston, S., C. Chapman, M. Pinfold, and G. Smith. "Knowledge acquisition for knowledge-based engineering systems." International Journal of Information Technology and Management 4, no. 1 (2005): 1. http://dx.doi.org/10.1504/ijitm.2005.006401.

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27

Masud, Mehedi. "Knowledge Update in Collaborative Knowledge Sharing Systems." International Journal of Knowledge Society Research 6, no. 3 (July 2015): 19–31. http://dx.doi.org/10.4018/ijksr.2015070102.

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In a collaborative knowledge sharing system each source is associated with knowledge base system that participates in knowledge sharing with other sources. Acquaintances of sources build a collaborative knowledge sharing system or network in which each source is acquainted with other sources. The network of sources can be either acyclic or cyclic, meaning that they can contain acquaintance chains that are acyclic or cyclic. Updating knowledge in the sources involved in an acyclic logical network of sources is done by propagating an update from the originating source until the update reaches the leaves of the network. However, cyclic cases may create complexities due to conflicts that may arise between different versions of propagated updates. The author examines update propagation in both cyclic and acyclic networks. Moreover, the authors considers cases where a source is temporarily unavailable or offline. Here the author's propagation mechanism keeps track of every source even if the source is not available for a certain period of time until that source becomes available. Once a source comes back online the system must propagate the update destined to the returning sources to keep its knowledge consistent with other sources. The author has implemented this mechanism and evaluated it on a small collaborative knowledge sharing system.

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28

Buta, Paul, and Stephen Springer. "Communicating the knowledge in knowledge-based systems." Expert Systems with Applications 5, no. 3-4 (January 1992): 389–94. http://dx.doi.org/10.1016/0957-4174(92)90022-k.

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29

Bergman, Michael K. "Hierarchy in Knowledge Systems." KNOWLEDGE ORGANIZATION 49, no. 1 (2022): 40–66. http://dx.doi.org/10.5771/0943-7444-2022-1-40.

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Hierarchies abound to help us organize our world. A hierarchy places items into a general order, where more ‘general’ is also more ‘abstract’. The etymology of hierarchy is grounded in notions of religious and social rank. This article, after a historical review, focuses on knowledge systems, an interloper of the term hierarchy since at least the 1800s. Hierarchies in knowledge systems include taxonomies, classification systems, or thesauri in information science, and systems for representing information and knowledge to computers, notably ontologies and knowledge representation languages. Hierarchies are the logical underpinning of inference and reasoning in these systems, as well as the scaffolding for classification and inheritance. Hierarchies in knowledge systems express subsumption relations that have flexible variants, which we can represent algorithmically, and thus computationally. This article dissects that variability, leading to a proposed typology of hierarchies useful to knowledge systems. The article argues through a perspective informed by Charles Peirce that natural hierarchies are real, can be logically determined, and are the appropriate basis for knowledge systems. Description logics and semantic language standards reflect this perspective, importantly through their open-world logic and vocabularies for generalized subsumption hierarchies. Recent research suggests possible mechanisms for the emergence of natural hierarchies.

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30

Zeng, Marcia Lei. "Knowledge Organization Systems (KOS)." KNOWLEDGE ORGANIZATION 35, no. 2-3 (2008): 160–82. http://dx.doi.org/10.5771/0943-7444-2008-2-3-160.

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31

Poston, Robin, and Cheri Speier. "Knowledge Management Systems Usage." Journal of Organizational and End User Computing 20, no. 1 (January 2008): 1–16. http://dx.doi.org/10.4018/joeuc.2008010101.

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32

Bouraga, Sarah, Ivan Jureta, Stéphane Faulkner, and Caroline Herssens. "Knowledge-Based Recommendation Systems." International Journal of Intelligent Information Technologies 10, no. 2 (April 2014): 1–19. http://dx.doi.org/10.4018/ijiit.2014040101.

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Knowledge-Base Recommendation (or Recommender) Systems (KBRS) provide the user with advice about a decision to make or an action to take. KBRS rely on knowledge provided by human experts, encoded in the system and applied to input data, in order to generate recommendations. This survey overviews the main ideas characterizing a KBRS. Using a classification framework, the survey overviews KBRS components, user problems for which recommendations are given, knowledge content of the system, and the degree of automation in producing recommendations.

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33

Peppard, J., and P. L. Henry. "Corporate Knowledge‐Based Systems:." Management Decision 26, no. 6 (June 1988): 42–46. http://dx.doi.org/10.1108/eb001528.

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34

CAVALERI, STEVEN A. "Systems Thinking for Knowledge." World Futures 61, no. 5 (July 2005): 378–96. http://dx.doi.org/10.1080/026040290500606.

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35

Palmer, Claire, Zahid Usman, Osiris Canciglieri Junior, Andreia Malucelli, and Robert I. M. Young. "Interoperable manufacturing knowledge systems." International Journal of Production Research 56, no. 8 (October 24, 2017): 2733–52. http://dx.doi.org/10.1080/00207543.2017.1391416.

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36

Yoon, Youngohc, and Tor Guimaraes. "Developing Knowledge-Based Systems." Information Resources Management Journal 5, no. 3 (July 1992): 16–32. http://dx.doi.org/10.4018/irmj.1992070102.

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37

Huws, Howell, Marcy Wintrub, and Nancy Martin. "KNOWLEDGE-BASED SYSTEMS DEVELOPMENT." Information Systems Management 9, no. 3 (January 1992): 51–56. http://dx.doi.org/10.1080/10580539208906882.

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38

Addis, T. R., and Mudigonda N. Sastry. "Designing Knowledge-Based Systems." IEEE Expert 1, no. 4 (November 1986): 91. http://dx.doi.org/10.1109/mex.1986.4307018.

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39

Ras, Zbigniew W. "Cooperative Knowledge-Based Systems." Intelligent Automation & Soft Computing 2, no. 2 (January 1996): 193–201. http://dx.doi.org/10.1080/10798587.1996.10750667.

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40

Hayes‐Roth, Frederick. "Knowledge systems: An introduction." Library Hi Tech 10, no. 1/2 (January 1992): 15–32. http://dx.doi.org/10.1108/eb047840.

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41

Bowman, Brent J. "Building Knowledge Management Systems." Information Systems Management 19, no. 3 (June 2002): 32–40. http://dx.doi.org/10.1201/1078/43201.19.3.20020601/37168.5.

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42

Giuse, Dario. "Efficient knowledge representation systems." Knowledge Engineering Review 5, no. 1 (March 1990): 35–50. http://dx.doi.org/10.1017/s0269888900005221.

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AbstractFrame systems occupy an important place among formalisms for computer-based knowledge representation. A common concern about frame systems, however, is that they are not efficient enough. We argue that this is not necessarily true of all possible systems, and that the trade-off between generality and efficiency has not been fully explored. While many systems provide generality at the expense of performance, systems closer to the low end of the spectrum have not been investigated nearly as much. Those systems are well suited for applications that need flexible knowledge representation but cannot afford the high performance price.We describe in detail KR, a very efficient frame system that provides mechanisms for knowledge representation including user-defined inheritance and relations, object-oriented programming, and constraint maintenance. The system is simple and compact and does not include some of the more complex functionality, but it is highly optimized and offers excellent performance for a variety of applications.

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43

Puppe, Frank. "Introduction to knowledge systems." Artificial Intelligence in Medicine 9, no. 2 (February 1997): 201–3. http://dx.doi.org/10.1016/s0933-3657(96)00372-7.

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44

Shepherd, Anne. "Knowledge-based expert systems." Expert Systems with Applications 14, no. 4 (April 1998): 433–41. http://dx.doi.org/10.1016/s0957-4174(98)00003-7.

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45

Badard, R. "Integrated Process Knowledge Systems." IFAC Proceedings Volumes 20, no. 5 (July 1987): 317–21. http://dx.doi.org/10.1016/s1474-6670(17)55220-9.

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46

Lu, Jie, and Da Ruan. "Intelligent knowledge engineering systems." Knowledge-Based Systems 20, no. 5 (June 2007): 437–38. http://dx.doi.org/10.1016/j.knosys.2007.01.004.

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47

Dawson, Kieran, John Cox, and Owen Smith. "Computer-based knowledge systems." Lancet 339, no. 8786 (January 1992): 185–86. http://dx.doi.org/10.1016/0140-6736(92)90256-3.

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48

Ford, B., S. J. Hague, and R. M. J. Iles. "Numerical knowledge-based systems." Mathematics and Computers in Simulation 31, no. 4-5 (October 1989): 395–400. http://dx.doi.org/10.1016/0378-4754(89)90133-x.

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49

Shadbolt, N., E. Motta, and A. Rouge. "Constructing knowledge-based systems." IEEE Software 10, no. 6 (November 1993): 34–38. http://dx.doi.org/10.1109/52.241964.

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50

Wyatt, J. "Computer-based knowledge systems." Lancet 338, no. 8780 (December 1991): 1431–36. http://dx.doi.org/10.1016/0140-6736(91)92731-g.

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