Academic literature on the topic 'Concept knowledge'
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Journal articles on the topic "Concept knowledge"
ZHENG, JEFFREY Z. J., CHRISTIAN H. H. ZHENG, and TOSIYASU L. KUNII. "CONCEPT CELL MODEL FOR KNOWLEDGE REPRESENTATION." International Journal of Information Acquisition 01, no. 02 (June 2004): 149–68. http://dx.doi.org/10.1142/s021987890400015x.
Full textUllah, AMM Sharif. "Concept Map and Knowledge." Education Sciences 10, no. 9 (September 15, 2020): 246. http://dx.doi.org/10.3390/educsci10090246.
Full textOden, G. C. "Concept, Knowledge, and Thought." Annual Review of Psychology 38, no. 1 (January 1987): 203–27. http://dx.doi.org/10.1146/annurev.ps.38.020187.001223.
Full textBar-On, A. Zvie. "WITTGENSTEIN’S CONCEPT OF KNOWLEDGE." Grazer Philosophische studien 29, no. 1 (August 13, 1987): 63–75. http://dx.doi.org/10.1163/18756735-90000310.
Full textMesserschmidt, James W. "Engendering Gendered Knowledge." Men and Masculinities 15, no. 1 (January 12, 2012): 56–76. http://dx.doi.org/10.1177/1097184x11428384.
Full textLabouliere, Christa D., Sarah J. Tarquini, Christine M. W. Totura, Krista Kutash, and Marc S. Karver. "Revisiting the Concept of Knowledge." Crisis 36, no. 4 (July 2015): 274–80. http://dx.doi.org/10.1027/0227-5910/a000323.
Full textMurphy, Gregory L., and Thomas L. Spalding. "Knowledge, Similarity, and Concept Formation." Psychologica Belgica 35, no. 2-3 (January 1, 1995): 127. http://dx.doi.org/10.5334/pb.882.
Full textSan Segundo, Rosa. "A new concept of knowledge." Online Information Review 26, no. 4 (August 2002): 239–45. http://dx.doi.org/10.1108/14684520210438688.
Full textOlson, Amy, and Abe Oudshoorn. "Knowledge translation: A concept analysis." Nursing Forum 55, no. 2 (November 13, 2019): 157–64. http://dx.doi.org/10.1111/nuf.12410.
Full textRudas, Imre J. "Concept formation and knowledge revision." Engineering Applications of Artificial Intelligence 9, no. 3 (June 1996): 331–32. http://dx.doi.org/10.1016/0952-1976(96)84752-x.
Full textDissertations / Theses on the topic "Concept knowledge"
Palacios, Medinacelli Luis. "Knowledge Discovery for Avionics Maintenance : An Unsupervised Concept Learning Approach." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS130/document.
Full textIn this thesis we explore the problem of signature analysis in avionics maintenance, to identify failures in faulty equipment and suggest corrective actions to resolve the failure. The thesis takes place in the context of a CIFRE convention between Thales R&T and the Université Paris-Sud, thus it has both a theoretical and an industrial motivation. The signature of a failure provides all the information necessary to understand, identify and ultimately repair a failure. Thus when identifying the signature of a failure it is important to make it explainable. We propose an ontology based approach to model the domain, that provides a level of automatic interpretation of the highly technical tests performed in the equipment. Once the tests can be interpreted, corrective actions are associated to them. The approach is rooted on concept learning, used to approximate description logic concepts that represent the failure signatures. Since these signatures are not known in advance, we require an unsupervised learning algorithm to compute the approximations. In our approach the learned signatures are provided as description logics (DL) definitions which in turn are associated to a minimal set of axioms in the A-Box. These serve as explanations for the discovered signatures. Thus providing a glass-box approach to trace the reasons on how and why a signature was obtained. Current concept learning techniques are either designed for supervised learning problems, or rely on frequent patterns and large amounts of data. We use a different perspective, and rely on a bottom-up construction of the ontology. Similarly to other approaches, the learning process is achieved through a refinement operator that traverses the space of concept expressions, but an important difference is that in our algorithms this search is guided by the information of the individuals in the ontology. To this end the notions of justifications in ontologies, most specific concepts and concept refinements, are revised and adapted to our needs. The approach is then adapted to the specific avionics maintenance case in Thales Avionics, where a prototype has been implemented to test and evaluate the approach as a proof of concept
Zhang, Shaomin. "Thematic knowledge extraction." Thesis, Nottingham Trent University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.272437.
Full textBurton, Sarah. "The development of self-knowledge." Thesis, University of Nottingham, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.272553.
Full textMarshall, Byron, and Therani Madhusudan. "Element Matching in Concept Maps." ACM, 2004. http://hdl.handle.net/10150/105657.
Full textConcept maps (CM) are informal, semantic, node-link conceptual graphs used to represent knowledge in a variety of applications. Algorithms that compare concept maps would be useful in supporting educational processes and in leveraging indexed digital collections of concept maps. Map comparison begins with element matching and faces computational challenges arising from vocabulary overlap, informality, and organizational variation. Our implementation of an adapted similarity flooding algorithm improves matching of CM knowledge elements over a simple string matching approach.
Radovanovic, Aleksandar. "Concept Based Knowledge Discovery from Biomedical Literature." Thesis, Online access, 2009. http://etd.uwc.ac.za/usrfiles/modules/etd/docs/etd_gen8Srv25Nme4_9861_1272229462.pdf.
Full textVerbeek, Thomas. "The design of a model for the acquisition, reuse and creation of knowledge in a civil engineering environment." Thesis, University of Pretoria, 2018. http://hdl.handle.net/2263/64301.
Full textSUMMARY The need for this research emanated from the requirement for learning and adaptation in the fast-changing world we live in today. The changing world goes along with developments in communication means, whereby information becomes more accessible and sophisticated daily. A vast number of resources is available and accessible, distributing an enormous amount of information. The need is to turn these vast amounts of information into usable knowledge for use by an engineer in practice. Restructuring of knowledge is one way of approaching this need and is addressed in this study. This process can be facilitated by experienced persons who know what knowledge is needed in practice. There is a decline in the numbers of experienced civil engineers, leaving a gap between the supply and demand for suitably qualified and experienced civil engineers. The objective of this study is to meet the need for the restructuring of knowledge by the design a model (referred to as a logic base in this study) for the acquisition, reuse and the creation of engineering knowledge in a civil engineering environment. The main research question posed in this study is as follows: What are the key characteristics of a model (termed a “logic base” in this study) for the acquisition, reuse and the creation of knowledge in a civil engineering environment? This research commences with a set of research questions, followed by a literature review. Consideration is given to theories of knowledge, various methods of knowledge creation and knowledge acquisition. Several problem-solving techniques are reviewed. The structuring and architecture of knowledge and ontologies are researched and the role of systems engineering is studied. Various research methods are investigated and it is shown that case study research is the most suitable for the development of ontologies in civil engineering. The ontology of the logic base is therefore based on typical topics of case studies. Concept maps are employed to structure knowledge. This is done by defining appropriate concepts and classifying these into several ontological levels. The relationships among concepts and other influencing domains are studied. Knowledge of these relationships enables the application of several problem-solving techniques that enhance and stimulate the creation of knowledge. A logic base is designed containing three modules, namely an input module whereby concept maps are used to capture and structure knowledge entities. The second module consists of an analysis module where problem-solving can be done. The third module contains the output of work and processes where engineering knowledge can be documented for reuse. The contribution of this research lies in the design of an application in knowledge management in the field of civil engineering. Integration is done of ontologies, knowledge theories, knowledge acquisition and knowledge creation through problem-solving techniques. Knowledge is structured that can be linked to other external civil engineering taxonomies and ontologies. This enhancement of knowledge makes knowledge explicit and renders it suitable for reuse. When engineers are equipped in the use of the logic base, problems can be addressed in a holistic way and the underlying thought processes can be documented. This may be of great value to inexperienced engineers and for the preservation of valuable knowledge. Some case studies are analysed to demonstrate the functioning of the model.
Thesis (DPhil) University of Pretoria 2018.
Information Science
DPhil
Unrestricted
Marshall, Byron Bennett. "Concept Matching in Informal Node-Link Knowledge Representations." Diss., Tucson, Arizona : University of Arizona, 2005. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu%5Fetd%5F1145%5F1%5Fm.pdf&type=application/pdf.
Full textEmami, Leila. "Conceptual Browser, a concept-based knowledge extraction technique." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0001/MQ43162.pdf.
Full textSchilawa, Jörg. "The value of concept maps in knowledge management." Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/50199.
Full textThis study project investigates the use of concept maps in knowledge management and takes a look at both the people, and the technology sides of knowledge management. The report discusses critical aspects and theories of knowledge management. Attention is focused on the importance of human beings in creating and being of value to organisations. While some theories of knowledge management view knowledge as a further developed stage of information, there are other theories, which view tacit or individual knowledge as the most basic source of knowledge. Despite this difference, and other dissimilarities, certain issues concerning knowledge creation and amplification through communication appear in both theories. A detailed discussion of the conversion process, and the knowledge spiral, explains and reinforces the importance of communication. The discussion touches on issues such as the influence of company culture towards the facilitation of sharing attitudes, supportive leadership styles and organisational structure. The continuous exchange of knowledge and the acceptance of new methods, such as best practise, promote the creation of a learning organisation that concentrates on the value of human beings, their needs, and their individual fulfilment. Challenges and obstacles of knowledge management such as experts seeing their sharing of knowledge as a hindrance of personal competitive advantage or work security will be examined. Although the logistics of knowledge management are very complex it is extremely beneficial for organisations for creation of extra value, the speeding up of processes, and the creation of a better work environment. Despite the importance of the people side of knowledge management, a technical infrastructure and a sophisticated knowledge management system are essential. General information about knowledge management systems and information are given, including objectives, trends, and an example of a standard technical infrastructure. Concept map technology is the interface between the computer system and the user. Although concept maps are not a new invention, they are becoming more popular due to new technical possibilities. All kinds of knowledge can be saved in concepts, connections, links and underlying documents. Their cognitive structure enables instant use without extensive guidelines or instructions. A further advantage is the generality of concept maps, making them applicable to various environments and industries. To increase awareness for concept map applications, differences between two concept mapping software tools are briefiy discussed. One application concentrates on maps, the other application aims to enable further functionality. The empirical part of the study project evaluates the use of concept maps in the banking and insurance environment of Sparkasse Sudholstein. The company currently has about 1400 employees and provides a knowledge based service, which made it very suitable for the research project. The technology infrastructure of Sparkasse Sudholstein contains certain distinctive features due to security reasons. The company has a user interface with different applications, various internal databases, external databases for the discretion of customer data, and several other external information and knowledge services. All the factors above make Sparkasse Sudholstein to an ideal candidate for the use of concept map applications. A survey by means of a questionnaire was undertaken at the headquarters of the company to determine the current situation of their knowledge management system. The most popular knowledge sources in use were the Lotus Notes "info-tiles", as well as direct communication amongst colleagues. It was further recognised that concept maps are known by almost half the participants of the questionnaire and that people are very open to new techniques of knowledge management. Various concept maps were created with company experts to evaluate the value and possible applications of concept maps in the company. The results showed that concept maps are not able to fulfil all the tasks of a knowledge management system, because they do not yet provide enough functionality. However, concept maps do have an essential significance in knowledge gathering, job descriptions, trainings and seminars, presentations, as discussion support tools, and project work such as workflow management. The advantages of concept maps are their cognitive use and understanding, their self-explanatory structure, the interactivity with the user, and the implementation of multi-media in combination with special layout features. In conclusion, it can be said that concept maps can be successfully applied to selective areas in companies. Concept maps should be implemented into a broader knowledge management system and combined with other traditional methods of knowledge management. The use of concept maps will create value for companies by increasing efficiency, effectiveness, as well as the overall performance of the company. If concept maps are combined successfully with other knowledge management measures, sustainable competitive advantage could be created for the organisation.
Neville, Karen M. "IS security leveraging the concept of knowledge management." Thesis, University of Bath, 2010. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.527132.
Full textBooks on the topic "Concept knowledge"
Furqāniyah Ikaiḍmī Ṭrasṭ (Bangalore, India), ed. Qur'anic concept of knowledge. Bangalore: Furqania Academy Trust, 2004.
Find full textKuçuradi, Ioanna, and Robert S. Cohen, eds. The Concept of Knowledge. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-017-3263-5.
Full textConcept formation and knowledge revision. Dordrecht: Kluwer Academic Publishers, 1994.
Find full textWrobel, Stefan. Concept Formation and Knowledge Revision. Boston, MA: Springer US, 1994.
Find full textWrobel, Stefan. Concept Formation and Knowledge Revision. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4757-2317-5.
Full textThe concept of knowledge in Islam. London: Mansell, 1989.
Find full textHaymes, Brian. The Concept of the Knowledge of God. London: Palgrave Macmillan UK, 1988. http://dx.doi.org/10.1007/978-1-349-19066-9.
Full textHaymes, Brian. The concept of the knowledge of God. Basingstoke: Macmillan, 1988.
Find full textThe concept of the knowledge of God. New York: St. Martin's Press, 1988.
Find full textThe concept, time, and discourse. South Bend, Indiana: St. Augustine's Press, 2013.
Find full textBook chapters on the topic "Concept knowledge"
Dau, Frithjof. "Background Knowledge in Concept Graphs." In Concept Lattices, 156–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24651-0_15.
Full textWrobel, Stefan. "The Psychology of Concepts and Concept Formation." In Concept Formation and Knowledge Revision, 19–44. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4757-2317-5_2.
Full textCouceiro, Miguel, and Amedeo Napoli. "Elements About Exploratory, Knowledge-Based, Hybrid, and Explainable Knowledge Discovery." In Formal Concept Analysis, 3–16. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21462-3_1.
Full textBusch, Peter, and Debbie Richards. "Modelling Tacit Knowledge via Questionnaire Data." In Concept Lattices, 321–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24651-0_27.
Full textQuesada, Francisco Miró. "Knowledge and Destiny." In The Concept of Knowledge, 219–29. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-017-3263-5_17.
Full textMeyer, Jan H. F., and Julie A. Timmermans. "Integrated Threshold Concept Knowledge." In Educational Futures, 25–38. Rotterdam: SensePublishers, 2016. http://dx.doi.org/10.1007/978-94-6300-512-8_3.
Full textKalfoglou, Yannis, Srinandan Dasmahapatra, and Yun-Heh Chen-Burger. "FCA in Knowledge Technologies: Experiences and Opportunities." In Concept Lattices, 252–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24651-0_23.
Full textHanika, Tom, Maximilian Marx, and Gerd Stumme. "Discovering Implicational Knowledge in Wikidata." In Formal Concept Analysis, 315–23. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21462-3_21.
Full textWille, Rudolf. "Methods of Conceptual Knowledge Processing." In Formal Concept Analysis, 1–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11671404_1.
Full textJanetzko, Dietmar. "Selecting and Generating Concept Structures." In Industrial Knowledge Management, 73–89. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0351-6_5.
Full textConference papers on the topic "Concept knowledge"
Bruza, P. D. "Concept combination, emergence and abduction." In Knowledge Management (CAMP). IEEE, 2010. http://dx.doi.org/10.1109/infrkm.2010.5466900.
Full text"A Non-concept is Not a ¬Concept." In International Conference on Knowledge Engineering and Ontology Development. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0004149704010404.
Full textMekhilef, Mounib, and Philippe Deshayes. "Knowledge Management: A Concept Review." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/dac-48745.
Full textLei, Yuxia, and Jingying Tian. "Concepts with negative-values and corresponding concept lattices." In 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2012. http://dx.doi.org/10.1109/fskd.2012.6234132.
Full textWu, Qiang, and Zongtian Liu. "Concept Lattice in Incomplete Knowledge System." In 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2008. http://dx.doi.org/10.1109/wicom.2008.2514.
Full textHan, Jiawei. "Mining knowledge at multiple concept levels." In the fourth international conference. New York, New York, USA: ACM Press, 1995. http://dx.doi.org/10.1145/221270.221287.
Full textBelohlavek, Radim, and Vilem Vychodil. "Background knowledge in formal concept analysis." In the 2010 ACM Symposium. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1774088.1774322.
Full textWang, Yingxu. "On Concept Algebra and Knowledge Representation." In 2006 5th IEEE International Conference on Cognitive Informatics. IEEE, 2006. http://dx.doi.org/10.1109/coginf.2006.365514.
Full textFerraris, Alberto, and Francesco Antonio Perotti. "Exploring the concept of “knowledge sabotage”." In 2020 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD). IEEE, 2020. http://dx.doi.org/10.1109/ictmod49425.2020.9380604.
Full textIslami, Zukya Rona, Ramdan Afrian, and Faiz ‘Urfan. "Environmental Intelligence Concept in Indigenous Knowledge." In 2nd International Conference on Science, Technology, and Modern Society (ICSTMS 2020). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.210909.073.
Full textReports on the topic "Concept knowledge"
Shadrick, Scott B., James W. Lussier, and Robin Hinkle. Concept Development for Future Domains: A New Method of Knowledge Elicitation. Fort Belvoir, VA: Defense Technical Information Center, June 2005. http://dx.doi.org/10.21236/ada437257.
Full textAmin, Sajeda. COVID-19-related knowledge, attitudes, and practices among adolescent girls in Bangladesh—Concept note. Population Council, 2020. http://dx.doi.org/10.31899/pgy14.1015.
Full textOonk, H. M., J. H. Rogers, R. A. Moore, and J. G. Morrison. Knowledge Web Concept and Tools: Use, Utility, and Usability During the Global 2001 War Game. Fort Belvoir, VA: Defense Technical Information Center, March 2002. http://dx.doi.org/10.21236/ada400825.
Full textCornelius, Robert L. An Evaluation of the Human Domain Concept: Organizing the Knowledge, Influence, and Activity in Population-Centric Warfare. Fort Belvoir, VA: Defense Technical Information Center, April 2015. http://dx.doi.org/10.21236/ad1007869.
Full textMorris, F. A., and J. L. Toquam. United States Program for Technical assistance to IAEA Standards. Concept Paper: Knowledge Acquisition, Skills training for enhanced IAEA safeguards inspections. Office of Scientific and Technical Information (OSTI), November 1993. http://dx.doi.org/10.2172/10124527.
Full textLenhardt, Amanda. Local Knowledge and Participation in the Covid-19 Response. Institute of Development Studies (IDS), May 2021. http://dx.doi.org/10.19088/cc.2021.005.
Full textHertz, Jana C., Derick W. Brinkerhoff, Robin Bush, and Petrarca Karetji. Knowledge Systems: Evidence to Policy Concepts in Practice. RTI Press, June 2020. http://dx.doi.org/10.3768/rtipress.2020.pb.0024.2006.
Full textNaves, Claudia, David Amorim, David Geisler-Moroder, Thorbjörn Laike, Justyna Martyniuk-Peczek, Barbara Szybinska Matusiak, Wilfried Pohl, and Natalia Sokol. Literature review of user needs, toward user requirements. Edited by Barbara Szybinska Matusiak. IEA SHC Task 61, September 2020. http://dx.doi.org/10.18777/ieashc-task61-2020-0001.
Full textStreicher, Jürgen, Angela Wroblewski, Klaus Schuch, and Sybille Reidl. RTI Policy Note on Evaluating Social Innovations. Fteval - Austrian Platform for Research and Technology Policy Evaluation, July 2021. http://dx.doi.org/10.22163/fteval.2021.519.
Full textRuff, Grigory, and Tatyana Sidorina. THE DEVELOPMENT MODEL OF ENGINEERING CREATIVITY IN STUDENTS OF MILITARY INSTITUTIONS. Science and Innovation Center Publishing House, December 2020. http://dx.doi.org/10.12731/model_of_engineering_creativity.
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