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Journal articles on the topic 'Knowledge identification'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Farwig, H. Meier zu, and H. Unbehauen. "Knowledge-Based System Identification." IFAC Proceedings Volumes 25, no. 15 (1992): 21–29. http://dx.doi.org/10.1016/s1474-6670(17)50606-0.

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2

Raudeliūnienė, Jurgita, and Eglė Jaskytė. "Assessment of the Factors Affecting the Efficiency of the Knowledge Identification Process in the Sector of Information Technology." Business: Theory and Practice 15, no. (3) (2014): 234–44. https://doi.org/10.3846/btp.2014.23.

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The factors influencing the knowledge identification process are changing in a dynamic environment along with their evaluation methods that are controversially considered in scientific literature and practice. This paper examines the issue concerning the assessment of the factors affecting the efficiency of the knowledge identification process. Different authors suggest varying interpretations and approaches to the factors affecting the efficiency of the knowledge identification process. Therefore, an issue of how to assess and what approach reflects and conveys reality more accurately and com

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3

Fang, Shaoze, and Yanjun Qin. "Social Identification in Open Innovation Projects: Role of Knowledge Collaboration and Resource Interdependence." Systems 13, no. 2 (2025): 129. https://doi.org/10.3390/systems13020129.

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In open innovation projects (OIPs), project members from different participating organizations often have dual social identifications, namely, project identification and organizational identification. While such dual identifications may align or conflict in shaping collaborative behaviors, their micro-level psychological mechanisms and performance implications remain underexplored, as prior research predominantly adopts a firm-centric perspective. This study examines how dual social identifications affect OIP performance. The investigation considers mediating role of knowledge collaboration an

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4

Grantham, Ross. "Corporate Knowledge: Identification or Attribution?" Modern Law Review 59, no. 5 (1996): 732–37. http://dx.doi.org/10.1111/j.1468-2230.1996.tb02689.x.

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5

Lim, Hyojeong, and Yongtae Park. "Identification of technological knowledge intermediaries." Scientometrics 84, no. 3 (2009): 543–61. http://dx.doi.org/10.1007/s11192-009-0133-8.

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6

Arentz, Jason, Frederic Sautet, and Virgil Storr. "Prior-knowledge and opportunity identification." Small Business Economics 41, no. 2 (2012): 461–78. http://dx.doi.org/10.1007/s11187-012-9437-9.

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7

Priyanka Singh. "Identification of Knowledge Management Barriers." Journal of Information Systems Engineering and Management 10, no. 4 (2025): 259–85. https://doi.org/10.52783/jisem.v10i4.9044.

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Knowledge Management is gaining huge attention in education as well as business sector. We observed that number of publication increases nowadays. Knowledge Management implemented in the business sector successfully but I observed through the literature review there is lack of acceptance and implementation of Knowledge Management in educational sector. It is very crucial to implement Knowledge Management System in educational organization to improve efficiency and effectiveness, improve decision making process, teaching learning process, enhance educational, research, and other administrative

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8

Pathirage, Chaminda, Krisanthi Seneviratne, Dilanthi Amaratunga, and Richard Haigh. "Managing disaster knowledge: identification of knowledge factors and challenges." International Journal of Disaster Resilience in the Built Environment 3, no. 3 (2012): 237–52. http://dx.doi.org/10.1108/17595901211263620.

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9

Rahman, Abdul, Endang Pertiwiwati, and Eka Santi. "Knowledge influences patient identification in hospital." Media Keperawatan Indonesia 8, no. 1 (2025): 1. https://doi.org/10.26714/mki.8.1.2025.1-6.

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Efforts to improve patient safety include implementing correct patient identification. The factor influencing its implementation is the knowledge of health workers, which must continue to be improved. The aim of this research is to analyze the relationship between nurse knowledge and the implementation of identification patients correctly at the Idaman Hospital, Banjarbaru City. This research used quantitative research using a correlational design with a cross-sectional design with a simple random sampling technique conducted on 76 nurses. The instrument used is a questionnaire. Data were anal

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10

Cayrel, Pierre-Louis, Richard Lindner, Markus Rückert, and Rosemberg Silva. "Improved Zero-Knowledge Identification with Lattices." Tatra Mountains Mathematical Publications 53, no. 1 (2012): 33–63. http://dx.doi.org/10.2478/v10127-012-0038-4.

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ABSTRACT Zero-knowledge identification schemes solve the problem of authenticating one party to another via an insecure channel without disclosing any additional information that might be used by an impersonator. In this paper we propose a scheme whose security relies on the existence of a commitment scheme and on the hardness of worst-case lattice problems. We adapt a code- -based identification scheme devised by Cayrel, V´eron and El Yousfi, which constitutes an improvement of Stern’s construction. Our solution sports analogous improvements over the lattice adaption of Stern’s scheme which K

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11

Alshawi, S., and W. Al‐Karaghouli. "Managing knowledge in business requirements identification." Logistics Information Management 16, no. 5 (2003): 341–49. http://dx.doi.org/10.1108/09576050310499336.

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12

Becker, Karen, Frances Jørgensen, and Adelle Bish. "Knowledge Identification and Acquisition in SMEs." International Journal of Knowledge Management 11, no. 3 (2015): 1–16. http://dx.doi.org/10.4018/ijkm.2015070101.

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Researchers and practitioners have been preoccupied with identifying ways for larger organizations to acquire and manage knowledge, however far less research attention has been directed towards these same pursuits in small and medium-sized enterprises (SMEs). This paper examines how SMEs engage in knowledge identification and acquisition; in particular how they identify knowledge needs and source this knowledge to enhance their business. The research studied six SMEs in Australia and Denmark. Contrary to prevailing assumptions, the findings suggest that SMEs engage in identification and sourci

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13

Rajkovič, V., M. Bohanec, and V. Batagelj. "Knowledge engineering techniques for utility identification." Acta Psychologica 68, no. 1-3 (1988): 271–86. http://dx.doi.org/10.1016/0001-6918(88)90060-1.

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14

Barcelo Valenzuela, Mario, Gerardo Sanchez Schmitz, Alonso Perez Soltero, Luis Felipe Romero Dessens, Fernando Martin Rubio, and Jose Palma. "Knowledge management opportunity space identification strategy." Knowledge and Process Management 17, no. 3 (2010): 111–17. http://dx.doi.org/10.1002/kpm.348.

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15

Meehan, Bridget, and Ita Richardson. "Identification of Software Process Knowledge Management." Software Process: Improvement and Practice 7, no. 2 (2002): 47–55. http://dx.doi.org/10.1002/spip.154.

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16

Shardlow, Matthew, Riza Batista-Navarro, Paul Thompson, Raheel Nawaz, John McNaught, and Sophia Ananiadou. "Identification of research hypotheses and new knowledge from scientific literature." BMC Medical Informatics and Decision Making 18, no. 46 (2018): 4–13. https://doi.org/10.1186/s12911-018-0639-1.

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The paper describes a novel, supervised method to extract new Meta-Knowledge (MK) dimensions that encode <em>Research Hypotheses</em> (an author’s intended knowledge gain) and <em>New Knowledge</em> (an author’s findings). The method incorporates various features, including a combination of simple MK dimensions.

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17

Michael, Nnaemeka Ajemba, and Chinwe Arene Ebube. "Research gaps for future research and their identification." World Journal of Advanced Research and Reviews 16, no. 1 (2022): 575–79. https://doi.org/10.5281/zenodo.7769396.

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The process of conducting research starts with posing queries and identifying new areas for study and development based on prior research. The numerous branches of research gain fresh knowledge as a result of this. A research gap develops as a result of the design of the study’s constraints, the use of poor tools, or external influences that the study could or could not control. Research needs can be viewed as gaps in knowledge, which will help expand the field of study. By identifying these gaps in knowledge and the causes behind them, new research can be centered on these gaps. 

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18

Reysen, Stephen, Iva Katzarska-Miller, and Shonda A. Gibson. "World Knowledge and Global Citizenship: Factual and Perceived World Knowledge as Predictors of Global Citizenship Identification." International Journal of Development Education and Global Learning 5, no. 1 (2013): 49–68. http://dx.doi.org/10.18546/ijdegl.05.1.04.

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We examine the influence of factual and perceived world knowledge on global citizenship identification. Perceived world knowledge directly predicted global citizenship identification, while factual world knowledge did not (Study 1). Students' factual (Study 1) and perceived (Study 2) world knowledge predicted students' normative environment (degree that valued others prescribe being a global citizen) and global awareness (perceived knowledge of the world and one's connection to the world), which then predicted global citizenship identification, and identification with global citizens predicted

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19

Hongyun Luo, Qingpu Zhang, and Xiangyi Lin. "Identification and Evaluation on Tacit Knowledge Sharing Risks in Knowledge Alliances." International Journal of Information Processing and Management 4, no. 3 (2013): 1–11. http://dx.doi.org/10.4156/ijipm.vol4.issue3.1.

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20

Guo, Chunjie, Lin You, and Gengran Hu. "A Novel Biometric Identification Scheme Based on Zero-Knowledge Succinct Noninteractive Argument of Knowledge." Security and Communication Networks 2022 (September 13, 2022): 1–13. http://dx.doi.org/10.1155/2022/2791058.

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Biometric identification is a convenient and reliable method in identity authentication. The widespread adoption of biometric identification requires strong privacy protection against possible theft or loss of biometric data. Existing techniques for privacy-preserving biometric identification mainly rely on traditional cryptographic technology such as oblivious transfer and homomorphic encryption, which will incur huge expenses to the system and cannot be applied to large-scale practical applications. For these issues, we propose a biometric identification scheme by constructing zero-knowledge

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21

Königová, M., and J. Hron. " Methodology for the identification of managerial competencies in knowledge-based organizations." Agricultural Economics (Zemědělská ekonomika) 58, No. 8 (2012): 347–53. http://dx.doi.org/10.17221/206/2011-agricecon.

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In the current entrepreneurial environment characterised by the dynamic development and changes, organizations have to promote the development of their employees in order to achieve a competitive advantage. Therefore, the personality of a manager who is a holder of specific knowledge, abilities, skills, traits, motives, attitudes and values becomes increasingly important as it is the main source for gaining a competitive advantage. Managerial competencies, i.e. the individual characteristic necessary to reach the required level of a manager&rsquo;s performance, together with an efficient m

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22

Danladi, Ayuba Jod, Donato Di Ludovico, Federico Eugeni, Gilles Dusserre, and Muritala Kolade Yusuf. "Disaster Management on a Regional Scale: Knowledge Platform toward Overall Hotspot Identification." International Journal of Research Publication and Reviews 5, no. 8 (2024): 2106–21. http://dx.doi.org/10.55248/gengpi.5.0824.2132.

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23

Jiuqing Dong, Jiuqing Dong, Alvaro Fuentes Alvaro Fuentes, Mun Haeng Lee Mun Haeng Lee, Taehyun Kim Taehyun Kim, Sook Yoon Sook Yoon, and Dong Sun Park Dong Sun Park. "Novel Category Discovery in Plant Species and Disease Identification through Knowledge Distillation." Korean Institute of Smart Media 13, no. 7 (2024): 36–44. http://dx.doi.org/10.30693/smj.2024.13.7.36.

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24

KAMEJIMA, Kohji, Toshiyuki AOKI, and Yuriko C. WATANABE. "Knowledge Completion Mechanism for Interactive Object Identification." Transactions of the Society of Instrument and Control Engineers 30, no. 11 (1994): 1351–59. http://dx.doi.org/10.9746/sicetr1965.30.1351.

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25

ITO, Haruka, Masanori HIROTOMO, Youji FUKUTA, Masami MOHRI, and Yoshiaki SHIRAISHI. "Zero-Knowledge Identification Scheme Using LDPC Codes." IEICE Transactions on Information and Systems E101.D, no. 11 (2018): 2688–97. http://dx.doi.org/10.1587/transinf.2017icp0020.

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26

Kusumawati, Dara, and Dini Faktasari. "Drop Out Students Identification Using Knowledge Base." bit-Tech 2, no. 1 (2019): 20–27. http://dx.doi.org/10.32877/bt.v2i1.102.

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The purpose of this study is modeling for the initial identification of college dropout students. Samples were taken from drop out student data for the past 4 years. Information from this sample will be acquired as a knowledge base in system modeling. The research aims to provide a knowledge-based system approach using Dempster Shafer for the management of student drop outs at universities especially in Yogyakarta. The symptoms of DO students are obtained from knowledge about DO that appears on campus in Yogyakarta. The system output is in the form of 3 groups of classification namely initial

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27

Hasiewicz, Zygmunt, Przemys law Śliwiński, and Grzegorz Mzyk. "Nonlinear system identification under various prior knowledge." IFAC Proceedings Volumes 41, no. 2 (2008): 7849–58. http://dx.doi.org/10.3182/20080706-5-kr-1001.01327.

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28

Kozjek Varl, Katja, and Jerneja Herzog. "KNOWLEDGE AND IDENTIFICATION OF DIFFERENT ARTISTIC PRACTICES." Research in Pedagogy 8, no. 2 (2018): 145–61. http://dx.doi.org/10.17810/2015.80.

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29

Wang, Dian, Yang Li, Suge Wang, et al. "CKEMI: Concept knowledge enhanced metaphor identification framework." Information Processing & Management 62, no. 1 (2025): 103946. http://dx.doi.org/10.1016/j.ipm.2024.103946.

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30

Yuan Fu, Qiu, Yoon Ping Chui, and Martin G. Helander. "Knowledge identification and management in product design." Journal of Knowledge Management 10, no. 6 (2006): 50–63. http://dx.doi.org/10.1108/13673270610709215.

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31

Zoysa, Sanjaya De, and Alan D. Russell. "Knowledge-based risk identification in infrastructure projects." Canadian Journal of Civil Engineering 30, no. 3 (2003): 511–22. http://dx.doi.org/10.1139/l03-001.

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Effective risk management is a central function in the successful planning and execution of large infrastructure projects. This paper explores how current knowledge-based approaches for risk management can be improved upon so that they are more responsive to the attributes of a project and the needs of system users. A review of existing knowledge-based systems for risk management provides a backdrop for a discussion on desirable characteristics of such an approach. The proposed methodology adopts a model-based technique in that explicit abstractions of project components and processes, and the

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32

Abonyi, J., R. Babuska, H. B. Verbruggen, and F. Szeifert. "Incorporating prior knowledge in fuzzy model identification." International Journal of Systems Science 31, no. 5 (2000): 657–67. http://dx.doi.org/10.1080/002077200290966.

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33

Martin, Joyce. "Multiple intelligence theory, knowledge identification and trust." Knowledge Management Research & Practice 4, no. 3 (2006): 207–15. http://dx.doi.org/10.1057/palgrave.kmrp.8500101.

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34

Kobashi, Masaharu, and Linda G. Shapiro. "Knowledge-based organ identification from CT images." Pattern Recognition 28, no. 4 (1995): 475–91. http://dx.doi.org/10.1016/0031-3203(94)00124-5.

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35

Chernyshov, K. R. "Knowledge Based Identification of Non-Linear Systems." IFAC-PapersOnLine 51, no. 6 (2018): 30–35. http://dx.doi.org/10.1016/j.ifacol.2018.07.125.

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36

Niederlinski, A., J. Kasprzyk, and J. Figwer. "Intelligent Identification: Decision Trees or Knowledge Bases?" IFAC Proceedings Volumes 27, no. 8 (1994): 767–72. http://dx.doi.org/10.1016/s1474-6670(17)47802-5.

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37

Lee, T. H., Q. G. Wang, and K. K. Tan. "Knowledge-based process identification from relay feedback." Journal of Process Control 5, no. 6 (1995): 387–97. http://dx.doi.org/10.1016/0959-1524(95)00023-j.

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38

Liu, Chang, Kaimin Xiao, Cuinan Yu, et al. "A probabilistic knowledge graph for target identification." PLOS Computational Biology 20, no. 4 (2024): e1011945. http://dx.doi.org/10.1371/journal.pcbi.1011945.

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Early identification of safe and efficacious disease targets is crucial to alleviating the tremendous cost of drug discovery projects. However, existing experimental methods for identifying new targets are generally labor-intensive and failure-prone. On the other hand, computational approaches, especially the machine learning-based frameworks, have shown remarkable application potential in drug discovery. In this work, we propose Progeni, a novel machine learning-based framework for target identification. In addition to fully exploiting the known heterogeneous biological networks from various

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39

Bailey, Penny. "Collection Development for Knowledge Management." Legal Information Management 7, no. 4 (2007): 247–51. http://dx.doi.org/10.1017/s1472669607002058.

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AbstractThis paper was presented by Penny Bailey at the 38th BIALL Annual Study Conference held in Sheffield in June 2007 and covers the challenges involved in introducing a knowledge management strategy to a law firm. It suggests methods to be adopted in trying to implement such a service including identification with the firm's business objectives; persuasive communication; identification of the benefits accruing and strategies for collecting knowledge.

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40

Ortiz, Beatriz, Mario J. Donate, and Fátima Guadamillas. "Relationships between structural social capital, knowledge identification capability and external knowledge acquisition." European Journal of Management and Business Economics 26, no. 1 (2017): 48–66. http://dx.doi.org/10.1108/ejmbe-07-2017-004.

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Purpose The purpose of this paper is to analyze the mediating effect of the identification of valuable external knowledge on the relationship between the development of inter-organizational ties (structural social capital) and the acquisition of external knowledge. Design/methodology/approach Using a sample of 87 firms from Spanish biotechnology and pharmaceutics industries, the authors have tested the proposed mediation hypothesis by applying the partial least squares technique to a structural equations model. Findings The study results show that those firms with stronger, more frequent and c

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41

Visser, Marjolein, Yung Hung, and Wim Verbeke. "Protein Knowledge of Older Adults and Identification of Subgroups with Poor Knowledge." Nutrients 13, no. 3 (2021): 1006. http://dx.doi.org/10.3390/nu13031006.

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The aim was to investigate the protein knowledge of community-dwelling older adults. A survey was conducted among 1825 adults aged ≥65 years and living in Finland, Netherlands, Poland, Spain and United Kingdom in 2017. Protein knowledge was measured with nine objective knowledge statements provided only to participants who indicated to know what the nutrient "protein" is (64.7% of sample). Demographic, socioeconomic and health determinants of poor protein knowledge were investigated using multiple logistic regression analyses. The sample was 49.6% female and 87.0% reported no walking difficult

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42

Kerner, Adeline, and Lebbe Régine Vignes. "Multi-context Knowledge Base using Calculated Descriptors from Xper3: the Archaeocyaths Knowledge Base example." Biodiversity Information Science and Standards 3 (June 13, 2019): e37083. https://doi.org/10.3897/biss.3.37083.

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Natural sciences need to make assertions about characteristics of taxa. Traits and qualities or descriptors and states become increasingly crucial as a resource for identification adapted to both scientists and the public. Specialists, non-specialists, and the general public need different strategies for accessing the information. Creating a knowledge base is time-consuming and adapting this base to several needs seems to increase the required time substantially. Specialists think that an identification tool requires a complete overhaul when they want to change the target audience or the langu

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43

Koch, Wouter. "Capturing and Using Taxonomic Knowledge for Species Identification." Biodiversity Information Science and Standards 7 (August 10, 2023): e110957. https://doi.org/10.3897/biss.7.110957.

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The skills and knowledge needed to recognize and classify taxa are becoming increasingly scarce in the scientific community, resulting in a "taxonomic impediment", where such knowledge is gradually disappearing (Engel et al. 2021). At the same time, it is clear that these skills are strongly needed in biodiversity monitoring for management and conservation, especially when carried out by citizen scientists. Formalizing the knowledge required to distinguish taxa from one another in the form of open digital identification keys is one way of making such knowledge more findable, accessible, intero

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44

Núñez, Hernández M., and Visbal S.M. Artiles. "Propuesta de pautas para la Identificación del Conocimiento en el Perfeccionamiento Empresarial (Proposal Guidelines for the Identification of Knowledge in Business Improvement)." GECONTEC: Revista Internacional de Gestión del Conocimiento y la Tecnología 1, no. 2 (2013): 1–18. https://doi.org/10.5281/zenodo.7080499.

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Resumen En la presente investigación se caracteriza brevemente el contexto en el que sedesarrolla la Gestión del Conocimiento y se describe el proceso de Identificación delConocimiento. Se realiza un análisis sobre la trayectoria que ha alcanzado la implementación del proceso de Perfeccionamiento Empresarial en Cuba. Se proponen las pautas para identificar el conocimiento que requiere la aplicación del Perfeccionamiento Empresarial; y finalmente se confecciona un mapa del conocimiento en aras de contribuir al funcionamiento de dicho proceso. Abstract T

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45

Ortiz, Beatriz, Mario J. Donate, and Fátima Guadamillas. "Inter-organizational social capital as an antecedent of a firm’s knowledge identification capability and external knowledge acquisition." Journal of Knowledge Management 22, no. 6 (2018): 1332–57. http://dx.doi.org/10.1108/jkm-04-2017-0131.

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Purpose This paper concentrates on the antecedents of external knowledge acquisition of companies based on their inter-organizational relationships. Specifically, it considers social capital (i.e., the result of a firm’s inter-organizational relationships) as an essential precursor of knowledge identification capabilities and deliberated knowledge acquisition strategies. This study aims to propose that cognitive and relational dimensions of a firm’s inter-organizational social capital are mediating factors of the relationship between structural social capital and knowledge identification capab

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46

Hooykaas, Michiel Jan Dirk, Menno Schilthuizen, Casper Johannes Albers, and Ionica Smeets. "Species identification skills predict in-depth knowledge about species." PLOS ONE 17, no. 4 (2022): e0266972. http://dx.doi.org/10.1371/journal.pone.0266972.

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To raise biodiversity awareness effectively, communicators should be aware of knowledge levels in their audiences. Species identification skills have been used in the past as a measure of what people know about species, yet it is not known whether they serve as good indicators. To study the link between species identification and in-depth species knowledge, we presented an animal knowledge test to an online audience of over 7,000 Dutch adults, and used correlation and regression analyses to determine the extent to which species identification predicts in-depth knowledge about species’ origin,

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47

Gandy, Lisa, Nadji Allan, Mark Atallah, et al. "Automatic Identification of Conceptual Metaphors With Limited Knowledge." Proceedings of the AAAI Conference on Artificial Intelligence 27, no. 1 (2013): 328–34. http://dx.doi.org/10.1609/aaai.v27i1.8648.

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Full natural language understanding requires identifying and analyzing the meanings of metaphors, which are ubiquitous in both text and speech. Over the last thirty years, linguistic metaphors have been shown to be based on more general conceptual metaphors, partial semantic mappings between disparate conceptual domains. Though some achievements have been made in identifying linguistic metaphors over the last decade or so, little work has been done to date on automatically identifying conceptual metaphors. This paper describes research on identifying conceptual metaphors based on corpus data.

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48

Konigova, Martina, Hana Urbancova, and Jiri Fejfar. "Identification of Managerial Competencies in Knowledge-based Organizations." Journal of Competitiveness 4, no. 1 (2012): 129–42. http://dx.doi.org/10.7441/joc.2012.01.10.

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49

Pickford, H., and C. Stapleton. "Physiotherapists’ identification and knowledge of Cervical Artery Dysfunction." Physiotherapy 113 (December 2021): e186. http://dx.doi.org/10.1016/j.physio.2021.10.198.

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50

Vartanova, Olena, Olena Kolomytseva, Victoriia Bilyk, Iryna Budnikevich, Lidiia Vasylchenko, and Tetiana Burtseva. "Enterprise competitive positioning based on knowledge resources identification." Entrepreneurship and Sustainability Issues 9, no. 1 (2021): 529–41. http://dx.doi.org/10.9770/jesi.2021.9.1(33).

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