Relevant bibliographies by topics / Knowledge identification

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Knowledge identification'

Author: Grafiati
Published: 30 May 2022
Last updated: 19 July 2025

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Journal articles on the topic "Knowledge identification"

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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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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 comprehensively emerges. These questions are investigated combining approaches developed by different scientists to the aspects assessing the factors affecting the knowledge identification process. The paper is aimed at determining the factors affecting the efficiency of the knowledge identification process in the sector of information technology, which could lead to assumptions about assessing the efficiency of the knowledge identification process. In order to determine and assess the factors influencing the efficiency of the knowledge identification process, survey and expert evaluation methods have been applied.
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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 and the moderating role of resource interdependence. Data were collected through a questionnaire survey targeting the OIPs in major high-tech industrial development zones in China. The results show that project identification drives participating organizations to collaborate deeply (e.g., sharing core expertise) and broadly (e.g., involving diverse partners), both of which boost OIP performance. By contrast, organizational identification prioritizes expanding collaboration breadth over deep collaboration, which risks superficial engagement. Too many partners initially help but eventually harm OIP performance, whereas deeper collaboration consistently improves OIP performance. In addition, resource interdependence strengthens the positive effects of project identification on breadth and depth of knowledge collaboration but does little for organizational identification. This study extends social identity theory to the open innovation field and offers novel insights into practices of social psychological reality in OIPs, revealing how dual identifications interact with resource interdependence to shape OIP performance. Additionally, it offers actionable strategies for balancing knowledge collaboration breadth and depth while leveraging resource interdependence in OIP governance.
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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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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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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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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 activities. The current research focus on how knowledge management influences performance of organization with use of information and communication technology. The research aims to assess the current status of knowledge management and its value in educational organization and also describe the knowledge management enablers- success factors and barriers. Managing knowledge is the toughest task for any organization.
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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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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 Kawachi et al. presented at ASIACRYPT ’08. Specifically, due to a smaller cheating probability close to 1/2 and a similar communication cost, any desired level of security will be achieved in fewer rounds. Compared to Lyubashevsky’s scheme presented at ASIACRYPT ’09, our proposal, like Kawachi’s, offers a much milder security assumption: namely, the hardness of SIS for trinary solutions. The same assumption was used for the SWIFFT hash function, which is secure for much smaller parameters than those proposed by Lyubashevsky.
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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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Dissertations / Theses on the topic "Knowledge identification"

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Kwon, Hongwoo. "Self-identification and self-knowledge." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62418.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Linguistics and Philosophy, 2010.<br>"September 2010." Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 119-122).<br>The traditional view has it that self-locating beliefs are distinctive in that they have distinctive contents. Against this, I claim that the distinctive element of self-locating beliefs should be placed outside contents. If someone believes that he himself is hungry, he not only has a propositional belief of a certain particular person that he is hungry, but also identifies himself as that particular person. The latter is not a matter of propositional belief, but a matter of taking a first personal perspective on that person's actions, beliefs and experiences. A subject takes his actions and beliefs to be "up to" himself, and regards his experiences as giving information about where he is located in the world. All these phenomena are shown to be related to the peculiar ways in which we come to know certain facts about ourselves. So self-identification is conceptually connected to self-knowledge. The three chapters discuss some parts or aspects of this reasoning. Chapter 1, "Perry's Problem and Moore's Paradox," claims that Perry's problem of the essential indexical and Moore's paradox are essentially a single problem applied to two different aspects of our rational activities, actions and beliefs, respectively. Chapter 2, "On What the Two Gods Might Not Know," defends what may be called an ability hypothesis about self-locating knowledge, drawing on David Lewis's ability hypothesis about phenomenal knowledge. What the gods might lack is best viewed as the abilities of self-knowledge. Chapter 3, "What Is the First Person Perspective?" asks what it is to take a first person perspective and view oneself as the author of one's own actions. It is a matter of taking a deliberative stance toward one's own actions, which in turn can be best understood as the special ways in which we know them.<br>by Hongwoo Kwon.<br>Ph.D.
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Eyecioglu, Ozmutlu Asli. "Paraphrase identification using knowledge-lean techniques." Thesis, University of Sussex, 2016. http://sro.sussex.ac.uk/id/eprint/65497/.

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This research addresses the problem of identification of sentential paraphrases; that is, the ability of an estimator to predict well whether two sentential text fragments are paraphrases. The paraphrase identification task has practical importance in the Natural Language Processing (NLP) community because of the need to deal with the pervasive problem of linguistic variation. Accurate methods for identifying paraphrases should help to improve the performance of NLP systems that require language understanding. This includes key applications such as machine translation, information retrieval and question answering amongst others. Over the course of the last decade, a growing body of research has been conducted on paraphrase identification and it has become an individual working area of NLP. Our objective is to investigate whether techniques concentrating on automated understanding of text requiring less resource may achieve results comparable to methods employing more sophisticated NLP processing tools and other resources. These techniques, which we call “knowledge-lean”, range from simple, shallow overlap methods based on lexical items or n-grams through to more sophisticated methods that employ automatically generated distributional thesauri. The work begins by focusing on techniques that exploit lexical overlap and text-based statistical techniques that are much less in need of NLP tools. We investigate the question “To what extent can these methods be used for the purpose of a paraphrase identification task?” For the two gold standard data, we obtained competitive results on the Microsoft Research Paraphrase Corpus (MSRPC) and reached the state-of-the-art results on the Twitter Paraphrase Corpus, using only n-gram overlap features in conjunction with support vector machines (SVMs). These techniques do not require any language specific tools or external resources and appear to perform well without the need to normalise colloquial language such as that found on Twitter. It was natural to extend the scope of the research and to consider experimenting on another language, which is poor in resources. The scarcity of available paraphrase data led us to construct our own corpus; we have constructed a paraphrasecorpus in Turkish. This corpus is relatively small but provides a representative collection, including a variety of texts. While there is still debate as to whether a binary or fine-grained judgement satisfies a paraphrase corpus, we chose to provide data for a sentential textual similarity task by agreeing on fine-grained scoring, knowing that this could be converted to binary scoring, but not the other way around. The correlation between the results from different corpora is promising. Therefore, it can be surmised that languages poor in resources can benefit from knowledge-lean techniques. Discovering the strengths of knowledge-lean techniques extended with a new perspective to techniques that use distributional statistical features of text by representing each word as a vector (word2vec). While recent research focuses on larger fragments of text with word2vec, such as phrases, sentences and even paragraphs, a new approach is presented by introducing vectors of character n-grams that carry the same attributes as word vectors. The proposed method has the ability to capture syntactic relations as well as semantic relations without semantic knowledge. This is proven to be competitive on Twitter compared to more sophisticated methods.
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Esmaili, Ali. "Control relevant model identification with prior knowledge /." *McMaster only, 2001.

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Panait, Andreea Mihaela. "Security aspects of zero knowledge identification schemes." Thesis, McGill University, 2008. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=112340.

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In this thesis we follow two directions: Zero Knowledge Protocols and the Discrete Logarithm Problem. In each direction we present the necessary background and we give a new approach for some parts of the existing protocols.<br>The new parts are dedicated to the soundness property of the Schnorr Identification Scheme and to the security of the sum+-Protocol. Since both directions are very well-known and studied in the field of cryptography, they are presented with many details so that the new results are easy to follow.<br>In writing this thesis we have tried to present the material in a specific order and in a manner easy to read even by beginners in cryptography.
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Newk-Fon, Hey Tow William Foong Kim. "A Study on the Contribution of Knowledge Identification to Knowledge Management Effectiveness." Thesis, Curtin University, 2017. http://hdl.handle.net/20.500.11937/56424.

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Many organisations have blind spots; they often do not know what they know already. This research investigates how organisations establish what knowledge they have and to what extent this process of identifying relevant and needed knowledge that exists within organisational boundaries (a process referred to as Knowledge Identification or KI) contributes to effective Knowledge Management (KM). Following a three-phased, mixed-method research design, results confirmed the critical nature of the relationship between KI and KM.
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Tedmori, Sara. "Exploiting email : extracting knowledge to support knowledge sharing." Thesis, Loughborough University, 2008. https://dspace.lboro.ac.uk/2134/3580.

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Effective management of knowledge assets is key to surviving in today's competitive business environment. This is particularly true for large organisations, where employees have difficulties identifying where or with whom the knowledge lies. Expertise is one of the most important knowledge assets and largely resides in the heads of employees. Many attempts have been made to help locate employees with the right expertise; however, the existing systems (often referred to as expertise finding systems) carry several flaws. In organisations, there are several potential sources where expertise evidence might be found. These sources have been used by the existing approaches to profile employees' expertise. Unfortunately, there has been limited research showing whether these sources contain useful evidence of expertise. Moreover, the majority of existing approaches have not been designed to integrate with the organisations' work practices; nor have they investigated the socio-ethical challenges associated with the adoption of such systems. Therefore, there is a need for expert finding systems that utilise useful sources of expertise and integrate into existing work practices. Through industry involvement, this research has explored and validated email content as a source for expertise profiling. This thesis provides an overview of the traditional and current approaches to expertise finding. The development and implementation of the EKE (Email Knowledge Extraction) system which tries to overcome the aforementioned challenges is presented. EKE has been evaluated by end-users from both industry and academia. The evaluation results suggest that EKE is a useful system that encourages participation, and that in many cases may assist in the management of knowledge within organisations.
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Palacio, Adriana Maria. "On identification, zero-knowledge, and plaintext-aware-encryption." Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2006. http://wwwlib.umi.com/cr/ucsd/fullcit?p3213078.

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Thesis (Ph. D.)--University of California, San Diego, 2006.<br>Title from first page of PDF file (viewed June 27, 2006). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 132-139).
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Tomczak, Jakub. "Algorithms for knowledge discovery using relation identification methods." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2563.

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In this work a coherent survey of problems connected with relational knowledge representation and methods for achieving relational knowledge representation were presented. Proposed approach was shown on three applications: economic case, biomedical case and benchmark dataset. All crucial definitions were formulated and three main methods for relation identification problem were shown. Moreover, for specific relational models and observations’ types different identification methods were presented.<br>Double Diploma Programme, polish supervisor: prof. Jerzy Świątek, Wrocław University of Technology
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Behrooz, A. "Meta description of experimental identification of medical knowledge." Thesis, Brunel University, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.373085.

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Heino, Perttu M. "Fluid property reasoning in knowledge-based hazard identification." Thesis, Loughborough University, 1998. https://dspace.lboro.ac.uk/2134/32041.

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The study of serious accidents, which have occurred in the chemical process industry in recent times, highlights the need to understand fluid property related phenomena and the interactions between chemicals under abnormal process conditions or with abnormal fluid compositions. Consideration of these issues should be common practice in professional safety analysis work, and computer programs designed to support this work have to be able to deal with them.
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Books on the topic "Knowledge identification"

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Thompson, R. M. C. Waituna Lagoon: Summary of existing knowledge and identification of knowledge gaps. Dept. of Conservation, 2003.

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Heino, Perttu. Fluid property reasoning in knowledge-based hazard identification. Technical Research Centre of Finland, 1999.

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Ramesh, B. R. Biotik: Biodiversity informatics and co-operation in taxonomy for interactive shared knowledge base. Institut français de Pondichéry, 2010.

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Belinskai︠a︡, A. B. Identifikat︠s︡ii︠a︡ konfliktov v sovremennoĭ Rossii kak filosofskai︠a︡ problema: Monografii︠a︡. Izd-vo Moskovskogo gumanitarnogo universiteta, 2007.

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Belinskai︠a︡, A. B. Identifikat︠s︡ii︠a︡ konfliktov v sovremennoĭ Rossii kak filosofskai︠a︡ problema: Monografii︠a︡. Izd-vo Moskovskogo gumanitarnogo universiteta, 2007.

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Dery, B. B. Indigenous knowledge of medicinal trees and setting priorities for their domestication in Shinyanga Region, Tanzania. International Centre for Research in Agroforestry, 1999.

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Berkbigler, Brandy L. Traditional ecological knowledge camp in Fort Yukon. U.S. Fish and Wildlife Service, Office of Subsistence Management, Fisheries Resource Monitoring Program, 2007.

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Berkbigler, Brandy L. Traditional ecological knowledge camp in Fort Yukon. U.S. Fish and Wildlife Service, Office of Subsistence Management, Fisheries Resource Monitoring Program, 2007.

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Berkbigler, Brandy L. Traditional ecological knowledge camp in Fort Yukon. U.S. Fish and Wildlife Service, Office of Subsistence Management, Fisheries Resource Monitoring Program, 2007.

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LDIC 2007 (2007 Bremen, Germany). Dynamics in logistics: First international conference, LDIC 2007, Bremen, Germany, August 2007 : proceedings. Edited by Haasis Hans-Dietrich, Kreowski H. -J, and Scholz-Reiter B. Springer, 2008.

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Book chapters on the topic "Knowledge identification"

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Pujara, Jay, Hui Miao, Lise Getoor, and William Cohen. "Knowledge Graph Identification." In Advanced Information Systems Engineering. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41335-3_34.

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Brisset-Foucault, Florence. "Bureaucratic interpersonal knowledge." In Identification and Citizenship in Africa. Routledge, 2021. http://dx.doi.org/10.4324/9781003053293-18.

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Malatesti, Luca, and Filip Čeč. "Identification and Self-Knowledge." In Third-Person Self-Knowledge, Self-Interpretation, and Narrative. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98646-3_10.

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Bezruchko, Boris P., and Dmitry A. Smirnov. "Identification of Directional Couplings." In Extracting Knowledge From Time Series. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12601-7_12.

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Barra, Eduardo, and Jorge Morato. "Knowledge Identification from Requirements Specification." In Communications in Computer and Information Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27653-3_26.

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Swart, Juani, Cliff Bowman, and Kerrie Howard. "Knowledge Assets: Identification and Integration." In The Palgrave Handbook of Knowledge Management. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71434-9_12.

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El-Soudani, Magdi S., Heba S. El-Refaey, and Hebat-Allah M. Mourad. "Zero Knowledge Broadcasting Identification Scheme." In IFIP Advances in Information and Communication Technology. Springer US, 2002. http://dx.doi.org/10.1007/978-0-387-35586-3_18.

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Bertolini, Diego, Luiz S. Oliveira, Yandre M. G. Costa, and Lucas G. Helal. "Knowledge Transfer for Writer Identification." In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75193-1_13.

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Kelly, Adam L., and Jennifer Turnnidge. "From Knowledge to Action." In Talent Identification and Development in Youth Soccer. Routledge, 2023. http://dx.doi.org/10.4324/9781032232799-22.

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Ahlswede, Rudolf. "Models with Prior Knowledge of the Receiver." In Identification and Other Probabilistic Models. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65072-8_9.

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Conference papers on the topic "Knowledge identification"

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Rahul, Dakshayani Araddy, and Venkatesh. "Trust-Object Identification: Approach Towards Trustworthy Objects Identification in S-IoT." In 2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS). IEEE, 2024. http://dx.doi.org/10.1109/ickecs61492.2024.10616460.

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Xu, Hao, Linlin Ge, Yan Zhang, et al. "Methodology Metadata-driven Knowledge Production Charac-teristics Identification by Knowledge Retrieval and Mining." In 2024 7th International Conference on Data Science and Information Technology (DSIT). IEEE, 2024. https://doi.org/10.1109/dsit61374.2024.10881518.

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Yu, Yue, Jiageng Tong, Jinhui Xia, Jinya Su, and Shihua Li. "PMSM System Identification by Knowledge-informed Machine Learning." In 2024 IEEE 22nd International Conference on Industrial Informatics (INDIN). IEEE, 2024. https://doi.org/10.1109/indin58382.2024.10774223.

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Shi, Long, Xiang Chen, Keyu Lu, Zhongming Feng, and Yu Han. "KLT-SEI: Knowledge Transformer for Specific Emitter Identification." In 2024 IEEE/CIC International Conference on Communications in China (ICCC). IEEE, 2024. http://dx.doi.org/10.1109/iccc62479.2024.10681949.

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Peri, Raghuveer, Seyed Omid Sadjadi, Daniel Garcia-Romero, Srikanth Vishnubhotla, and Kyu J. Han. "Knowledge Distillation From Ensemble for Spoken Language Identification." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10887729.

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Gou, Jin, Yangyang Wu, and Wei Luo. "An Ontology Based Knowledge Clustering Method in Knowledge Space." In 2007 International Workshop on Anti-Counterfeiting, Security and Identification. IEEE, 2007. http://dx.doi.org/10.1109/iwasid.2007.373666.

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Pechsiri, Chaveevan, and Sumran Painual. "Herbal Medicinal-Property Knowledge Extraction from Text for Knowledge Base Construction." In Artificial Intelligence and Applications / Modelling, Identification, and Control. ACTAPRESS, 2011. http://dx.doi.org/10.2316/p.2011.717-023.

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Wang, Haoyu, Fenglong Ma, Yaqing Wang, and Jing Gao. "Knowledge-Guided Paraphrase Identification." In Findings of the Association for Computational Linguistics: EMNLP 2021. Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.findings-emnlp.72.

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Yoo, Keedong. "An Interdisciplinary Approach to Automatically Capture Knowledge in Dialogues on the Spot." In Modelling, Identification and Control. ACTAPRESS, 2012. http://dx.doi.org/10.2316/p.2012.770-019.

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Lin, Chin-Yew. "Knowledge-based automatic topic identification." In the 33rd annual meeting. Association for Computational Linguistics, 1995. http://dx.doi.org/10.3115/981658.981705.

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Reports on the topic "Knowledge identification"

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Chew, Peter A. Identification of threats using linguistics-based knowledge extraction. Office of Scientific and Technical Information (OSTI), 2008. http://dx.doi.org/10.2172/940522.

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Wolters, Heather M., Trevor Conrad, Christopher Riches, et al. Identification of Knowledge, Skills, and Abilities for Army Design. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada601309.

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Ballas, James A. Implicit Knowledge in the Identification of Environmental Sounds: Causal Uncertainty and Stereotype. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada214940.

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Kaetzel, L. J., J. R. Clifton, and D. P. Bentz. Integrating knowledge for the identification of cracks in concrete using an expert system shell and extensions. National Institute of Standards and Technology, 1989. http://dx.doi.org/10.6028/nist.ir.89-4206.

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Mena Jara, Sonia Daniela, Ingeborg Meijer, Gaston Heimeriks, and Tim Willemse. Driving the innovation process by connecting regional knowledge bases to local needs. Fteval - Austrian Platform for Research and Technology Policy Evaluation, 2022. http://dx.doi.org/10.22163/fteval.2022.543.

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Novel approaches are needed to support the creation of more open, inclusive, and self-sustaining R&amp;I ecosystems in healthcare. This study analysed 3 European regions (Murcia ES), (Örebro SE), and (Republic of Cyprus CY), incorporating complementary approaches from Responsible Research and Innovation (RRI) and Research and Innovation Smart Specialisation Strategy (RIS3). The exercise entailed the identification of healthcare and innovation stakeholders and the characterisation of the policy landscape in each territory. Moreover, the strengths of the regional knowledge base was analysed by measuring the Revealed Comparative Advantage (RCA) indicator based on relatedness measurement, and by using micro-level fields analyses of scientific publications. This methodology allowed us to identify the fields and topics (strengths) that provide opportunities for innovation processes. Additional identification of social needs in the three territories showed profound differences regarding the alignment of the selected needs with respect to the regions’ capabilities. The results suggest that a timely direct interaction with territorial stakeholders can help in selecting the most promising innovation priorities that are based on local needs and knowledge. The process of interaction requires early engagement to support territorial ownership and is further reinforced by RRI policies in place.
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6

Frandsen, Brigham, and Lars Lefgren. Partial Identification of the Distribution of Treatment Effects with an Application to the Knowledge Is Power Program (KIPP). National Bureau of Economic Research, 2018. http://dx.doi.org/10.3386/w24616.

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7

Gagulina, N. L. IDENTIFICATION OF MECHANISMS FOR ENSURING ECONOMIC GROWTH AND IMPROVING THE QUALITY OF LIFE IN THE CONTEXT OF STRUCTURAL SHIFTS. Institute for Regional Economic Studies Russian Academy of Science, 2023. http://dx.doi.org/10.52897/tms-2023-15-05.

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The introduction of scientific discoveries of the knowledge economy has led to a qualitative shift in software and information support not only for the means of production, but also for its core component - a person who has received a multiple strengthening of his formative and guiding role in the creation of new equipment and technologies. Thanks to the development of information networks, the terms of dissemination and acquisition of the latest knowledge, exchange of experience in solving the most complex technological tasks have been reduced to a minimum.
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8

Gallardo Montoya, María Lourdes, Arturo Muente, and Eugenia Valdez. Building Scenarios for the Future of Digital Identification Systems in Latin America and the Caribbean. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0004729.

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Digital identification systems unlock tremendous benefits from digital government initiatives. However, governments across the globe, including in Latin America and the Caribbean, have been slow to implement them in the face of constantly changing technologies. This report describes the results of a novel process--the building of future scenarios--aimed at helping governments advance reform in the face of technological and other uncertainties. The Innovation in Citizen Services Division and Knowledge Innovation and Communication Sector of the Inter-American Development Bank proposed these future scenarios to improve strategic decision making and encourage an open discussion on the future of digital identification systems from a non-traditional point of view. The results of this and future scenario-building exercises should spark innovative ideas that allow governments, public and private sector organizations, civil society, and citizens at large to re-think their role in the digital identification ecosystem in the next 10 years.
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9

Aggarwal, Kanika. Raising voices at voice-identification: a review of judicial opinion. Florida International University, 2024. https://doi.org/10.25148/gfjcsr.2024.1.

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Uncovering of instances of wrongful conviction has led to a shift in scientific paradigm is being observed, especially in relation to the forensic disciplines that rely on pattern comparison- like voice-identification, odontology, hair analysis, tool analysis etc. Though it is well-documented that none of the forensic science disciplines, other than DNA, can scientifically claim individualisation, the lawyers and judges are found to be totally oblivious of this scientific reality. Forensic/Scientific evidences, professed as scientific and objective, are routinely admitted. Given the different nature of law and science as disciplines, it is a daunting task for judges to effectively guard against unreliable forensic evidences/testimonies. This task is made more onerous by a number of possible factors – limitation or lack of scientific knowledge in the legal community, partisan bias exhibited by experts, submission of new or dubious science etc. This systemic issue calls for thorough deliberation and serious discussion. The primary goal of the paper is to thoroughly examine the judicial decisions relating to assessment of voice identification evidence, which is one of the feature comparison techniques that have been questioned. This paper begins with analysis of scientific foundation on which voice identification evidence is based. The following section provides a deliberation on various contention issues around this forensic technique. Thereafter, there is review of relevant rulings of the trial court. Lastly, it is concluded that there is dearth of statutory rules in relation to admission of forensic evidence. Resultantly, non-epistemic means are being adopted in courts such as reliance on cross-examination and counter evidence.
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10

Engler, Joseph D., Mark Gorman, David Cappaert, Marek Stanton, Lincoln R. Best, and August S. Jackson. Bees of the Pacific Northwest : key to Lasioglossum species for females of the subgenera Hemihalictus, Sphecodogastra, and Evylaeus in Oregon (Hymenoptera : Halictidae). Oregon State University, 2024. http://dx.doi.org/10.5399/osu/1171.

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The following taxonomic keys are adapted in part from the subgeneric and species descriptions and keys produced by McGinley (2003), Gibbs et al. (2013) and Gardner and Gibbs (2022). Additional identification information was provided by Jason Gibbs, Thilina Hettiarachchi (University of Manitoba), and Joel Gardner (Washington State University). While these resources were invaluable for crafting the keys provided below, only 6 of the 22 Oregon species presented below are treated within these earlier keys. This key to the species of Oregon is intended to fill the gap in knowledge and available identification resources for these subgenera in the region while acknowledging that the subgenera still require thorough taxonomic revision. Only a revision for the subgenus Hemihalictus is currently in progress (J. Gibbs pers. comm., Sept. 2021, Thilina Hettiarachchi pers. comm., Jan. 2024).
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