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Статті в журналах з теми "Knowledge Organization System (KOS)"
Zeng, Marcia Lei. "Knowledge Organization Systems (KOS)." KNOWLEDGE ORGANIZATION 35, no. 2-3 (2008): 160–82. http://dx.doi.org/10.5771/0943-7444-2008-2-3-160.
Повний текст джерелаZhitomirsky-Geffet, Maayan. "Towards a diversified knowledge organization system." Journal of Documentation 75, no. 5 (September 9, 2019): 1124–38. http://dx.doi.org/10.1108/jd-10-2018-0163.
Повний текст джерелаZeng, Marcia, Margie Hlava, Jian Qin, Gail Hodge, and Denise Bedford. "Knowledge organization systems (KOS) standards." Proceedings of the American Society for Information Science and Technology 44, no. 1 (October 24, 2008): 1–3. http://dx.doi.org/10.1002/meet.145044019.
Повний текст джерелаMazzocchi, Fulvio. "Knowledge Organization System (KOS): An Introductory Critical Account." KNOWLEDGE ORGANIZATION 45, no. 1 (2018): 54–78. http://dx.doi.org/10.5771/0943-7444-2018-1-54.
Повний текст джерелаMachado, Luís Miguel Oliveira. "Ontologies in Knowledge Organization." Encyclopedia 1, no. 1 (January 29, 2021): 144–51. http://dx.doi.org/10.3390/encyclopedia1010015.
Повний текст джерелаBiagetti, Maria Teresa. "Ontologies as Knowledge Organization Systems." KNOWLEDGE ORGANIZATION 48, no. 2 (2021): 152–76. http://dx.doi.org/10.5771/0943-7444-2021-2-152.
Повний текст джерелаTran, Quoc-Tan. "Ethically Responsible Knowledge Organization Systems: Towards an Intercultural User Interface." Zagadnienia Informacji Naukowej - Studia Informacyjne 55, no. 2(110) (October 1, 2017): 16–29. http://dx.doi.org/10.36702/zin.364.
Повний текст джерелаCheng, Yi‐Yun, Inkyung Choi, Rhiannon Bettivia, Wan‐Chen Lee, and B. M. Watson. "Knowledge Organization Systems and Provenance: Experiences and Challenges." Proceedings of the Association for Information Science and Technology 61, no. 1 (October 2024): 741–44. http://dx.doi.org/10.1002/pra2.1091.
Повний текст джерелаZou, Qing. "Represent Changes of Knowledge Organization Systems on the Semantic Web." International Journal of Librarianship 3, no. 1 (July 17, 2018): 67. http://dx.doi.org/10.23974/ijol.2018.vol3.1.64.
Повний текст джерелаDobreski, Brian. "Re-examining Aristotle’s Categories as a Knowledge Organization System." KNOWLEDGE ORGANIZATION 48, no. 4 (2021): 291–97. http://dx.doi.org/10.5771/0943-7444-2021-4-291.
Повний текст джерелаДисертації з теми "Knowledge Organization System (KOS)"
Reis, Julio Cesar Dos. "Mapping Adaptation between Biomedical Knowledge Organization Systems." Thesis, Paris 11, 2014. http://www.theses.fr/2014PA112231/document.
Повний текст джерелаModern biomedical information systems require exchanging and retrieving data between them, due to the overwhelming available data generated in this domain. Knowledge Organization Systems (KOSs) offer means to make the semantics of data explicit which, in turn, facilitates their exploitation and management. The evolution of semantic technologies has led to the development and publication of an ever increasing number of large KOSs for specific sub-domains like genomics, biology, anatomy, diseases, etc. The size of the biomedical field demands the combined use of several KOSs, but it is only possible through the definition of mappings. Mappings interconnect entities of domain-related KOSs via semantic relations. They play a key role as references to enable advanced interoperability tasks between systems, allowing software applications to interpret data annotated with different KOSs. However, to remain useful and reflect the most up-to-date knowledge of the domain, the KOSs evolve and new versions are periodically released. This potentially impacts established mappings demanding methods to ensure, as automatic as possible, their semantic consistency over time. Manual maintenance of mappings stands for an alternative only if a restricted number of mappings are available. Otherwise supporting methods are required for very large and highly dynamic KOSs. To address such problem, this PhD thesis proposes an original approach to adapt mappings based on KOS changes detected in KOS evolution. The proposal consists in interpreting the established correspondences to identify the relevant KOS entities, on which the definition relies on, and based on the evolution of these entities to propose actions suited to modify mappings. Through this investigation, (i) we conduct in-depth experiments to understand the evolution of KOS mappings; we propose automatic methods (ii) to analyze mappings affected by KOS evolution, and (iii) to recognize the evolution of involved concepts in mappings via change patterns; finally (iv) we design techniques relying on heuristics explored by novel algorithms to adapt mappings. This research achieved a complete framework for mapping adaptation, named DyKOSMap, and an implementation of a software prototype. We thoroughly evaluated the proposed methods and the framework with real-world datasets containing several releases of mappings between biomedical KOSs. The obtained results from experimental validations demonstrated the overall effectiveness of the underlying principles in the proposed approach to adapt mappings. The scientific contributions of this thesis enable to largely automatically maintain mappings with a reasonable quality, which improves the support for mapping maintenance and consequently ensures a better interoperability over time
Wint, Noel Jr. "An Investigation of Socio-technical Components of Knowledge Management System (KMS) Usage." NSUWorks, 2016. http://nsuworks.nova.edu/gscis_etd/961.
Повний текст джерелаAnkoud, Manel. "Gestion de l’hétérogénéité d’un SI de classification documentaire multifacette et positionnement dans l’environnement des ECM." Thesis, Paris, CNAM, 2014. http://www.theses.fr/2015CNAM0964.
Повний текст джерелаThe knowledge organization is invested by librarians, archivists, information specialists, IT professionals and all discipline of document. It includes all activities, studies and research which develop and treat organization process and presentation of relevant information resources in an organization. In this context the Miipa-Doc project aims to explore new ascendants indexing methods, using descriptors made by individuals rather than selected given list for complex contained in the organization document, in large size companies, and design the corresponding software architecture.Our contribution in this project is to manage the heterogeneity of an information system of document organization, based on a business-oriented approach and a KOS (knowledge organization system) of folksonomy facet. We propose an incremental approach this management model driven, outcome of MDE (Model Driven Engineering), based on meta-models to ensure scalability appearance. After implementing the HyperTaging prototype, that implements both approaches, we propose an evaluation process used to position the prototype and all IS of documentary classification in the environment of ECM based on purposes of delicate and particular evaluation criteria
Noori, Sheak Rashed Haider. "A Large Scale Distributed Knowledge Organization System." Doctoral thesis, Università degli studi di Trento, 2011. https://hdl.handle.net/11572/368691.
Повний текст джерелаNoori, Sheak Rashed Haider. "A Large Scale Distributed Knowledge Organization System." Doctoral thesis, University of Trento, 2011. http://eprints-phd.biblio.unitn.it/569/1/PhD_Thesis_Noori.pdf.
Повний текст джерелаTanabe, Eiichi 1959. "Knowledge chain in the clockspeed-based organization." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/29209.
Повний текст джерелаIncludes bibliographical references (leaf 75).
Adding to the increasing complexity and ambiguity in products and customer values, the sudden rise in the clockspeed of business operations is forcing existing companies towards a new organizational model, which autonomously integrates knowledge across technologies, functions, and clockspeeds to find optimal solutions. This thesis first analyzes clockspeed characteristics in terms of four dimensions (customer value, product, process, and organization) and clarifies them by means of presentations. Based on this analysis, it develops a conceptual framework and an organizational model for the mixed clockspeed organization: that is, a company whose products individually involve components or elements with different clockspeeds, and where the four dimensions of clockspeed are not necessarily highly correlated. Finally, the thesis proposes an original model for organizing such a mixed clockspeed organization, focused on building an intermediate layer of organization to mediate between the formal business unit structures and the informal human networks that have long been recognized as crucially important for technical organizations.
by Eiichi Tanabe.
S.M.
Kwasnik, Barbarak. "Revisiting the Preserved Context Index System (PRECIS): The Bridge between Hierarchically Structured Thesauri and Facetted Classifications." dLIST, 2004. http://hdl.handle.net/10150/105262.
Повний текст джерелаValenzuela, Jorge L. "DTAACS: distributed task allocation for adaptive computational system based on organization knowledge." Diss., Kansas State University, 2014. http://hdl.handle.net/2097/18247.
Повний текст джерелаDepartment of Computing and Information Sciences
Scott A. DeLoach
The Organization-Based Multi-Agent Systems (OMAS) paradigm is an approach to address the challenges posed by complex systems. The complexity of these systems, the changing environment where the systems are deployed, and satisfying higher user expectations are some of current requirements when designing OMAS. For the agents in an OMAS to pursue the achievement of a common goal or task, a certain level of coordination and collaboration occurs among them. An objective in this coordination is to make the decision of who does what. Several solutions have been proposed to answer this task allocation question. The majority of the solutions proposed fall in the categories of marked-based approaches, reactive systems, or game theory approaches. A common fact among these solutions is the system information sharing among agents, which is used only to keep the participant agent informed about other agents activities and mission status. To further exploit and take advantage of this system information shared among agents, a framework is proposed to use this information to answer the question who does what, and reduce the communication among agents. DTAACS-OK is a distributed knowledge-based framework that addresses the Single Agent Task Allocation Problem (SAT-AP) and the Multiple Agent Task Allocation Problem (MAT-AP) in cooperative OMAS. The allocation of tasks is based on an identical organization knowledge posses by all agents in the organization. DTAACS-OK di ers with current solutions in that (a) it is not a marked-based approach where task are auctioned among agents, or (b) it is not based on agents behaviour, where the action or lack of action of an agent cause the reaction of other agents in the organization.
Febriyani, Yeni. "The Perception of Knowledge Management System Implementation to Employee Performance is Measured With Balanced Scorecard at PT Vale Indonesia TBK." TopSCHOLAR®, 2016. http://digitalcommons.wku.edu/theses/1598.
Повний текст джерелаGoodrich, Mark R. "The implementation of a knowledge management system to the acquisition organization at a major systems command." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://handle.dtic.mil/100.2/ADA386039.
Повний текст джерелаКниги з теми "Knowledge Organization System (KOS)"
Andoniou, Constantine. Fractal fetishes: Essays on the organization of the system of information. Saarbrücken: VDM, Verlag Dr. Müller, 2008.
Знайти повний текст джерелаAndoniou, Constantine. Fractal fetishes: Essays on the organization of the system of information. Saarbrücken: VDM, Verlag Dr. Müller, 2008.
Знайти повний текст джерелаZhulidov, Sergey. Trade organization. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/987233.
Повний текст джерелаFrank, Van Harmelen, ed. Information sharing on the semantic Web. Berlin: Springer, 2005.
Знайти повний текст джерелаMinobrnauki, Rossiyskoy. Finance and Financial analysis. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1242227.
Повний текст джерелаGolubeva, Tat'yana. Analysis of financial and economic activities. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1081757.
Повний текст джерелаKaspina, Roza, and Lyubov' Plotnikova. Accounting and taxation of foreign economic activities of organizations. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1018339.
Повний текст джерелаBurmistrova, Lyudmila. Accounting. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1045886.
Повний текст джерелаGrigor'eva, Iya. Geoecology. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1969527.
Повний текст джерелаLachinina, Tat'yana. Change Management. ru: INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/1859856.
Повний текст джерелаЧастини книг з теми "Knowledge Organization System (KOS)"
Szostak, Rick, Claudio Gnoli, and María López-Huertas. "How to Develop a KOS to Serve Interdisciplinarity." In Interdisciplinary Knowledge Organization, 151–70. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30148-8_7.
Повний текст джерелаHe, Joy Wei, and Kwok-Kee Wei. "Knowledge Management Systems (KMS) Continuance in Organizations: A Social Relational Perspective." In Knowledge Science, Engineering and Management, 34–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11811220_4.
Повний текст джерелаCzap, H. "Case Based Software Engineering CBSE The Example of a Store Control System." In Classification and Knowledge Organization, 245–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-59051-1_26.
Повний текст джерелаRomacker, Martin, Klemens Schnattinger, Udo Hahn, Stefan Schulz, and Rüdiger Klar. "A Natural Language Understanding System for Knowledge-Based Analysis of Medical Texts." In Classification and Knowledge Organization, 499–508. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-59051-1_52.
Повний текст джерелаStausberg, J., M. Laghmouch, and C. Moraga. "Realization of a Medical Data Dictionary in a Relational Database Management System." In Classification and Knowledge Organization, 547–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-59051-1_57.
Повний текст джерелаOertel, Wolfgang. "Knowledge organization using the development system FAENSY." In Lecture Notes in Computer Science, 303–6. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-61708-6_69.
Повний текст джерелаMezahem, Fatema Hamad, Said A. Salloum, and Khaled Shaalan. "Applying Knowledge Map System for Sharing Knowledge in an Organization." In Proceedings of International Conference on Emerging Technologies and Intelligent Systems, 1007–17. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85990-9_80.
Повний текст джерелаWang, Jue. "An Approach to Designing an Expert System Through Knowledge Organization." In Expert System Applications, 361–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83314-4_6.
Повний текст джерелаDe Maio, Annarita, Daniele Ferone, Elisabetta Fersini, Enza Messina, Francesco Santoro, and Antonio Violi. "Smart Tourism System in Calabria." In Studies in Classification, Data Analysis, and Knowledge Organization, 131–44. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51222-4_11.
Повний текст джерелаMeulman, Jacqueline J., Lawrence J. Hubert, and Willem J. Heiser. "The Data Theory Scaling System." In Studies in Classification, Data Analysis, and Knowledge Organization, 489–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72253-0_66.
Повний текст джерелаТези доповідей конференцій з теми "Knowledge Organization System (KOS)"
Fitriasari, Novi Sofia, Willdan Aprizal Arifin, Ayang Armelita, Luthfi Anzani, Afrizal Dzikrillah, Aulia Maulida Rahmah, Abdillah Aditama Sujana, Hilda Maela Kisty, and Salsabila Putri Fahriza. "Marine and Fishery Big Data System Model: A Knowledge Management System Perspective." In The 4th International Conference on Science and Technology Applications. Switzerland: Trans Tech Publications Ltd, 2023. http://dx.doi.org/10.4028/p-6v8e2d.
Повний текст джерелаAl-Raqadi, A. M. S., and B. S. N. Al-Riyami. "PaperTitle." In International Conference on Marine Engineering and Technology Oman. London: IMarEST, 2019. http://dx.doi.org/10.24868/icmet.oman.2019.020.
Повний текст джерелаS Halibas, Alrence, Rolou Lyn Maata, Mohamed Abdul Kader Varusai, Ali Al-Badi, and Peyman Nouraey. "Design of a Knowledge Management System for the Research-Teaching Nexus: Evidence from Institutional Audit Reports [Abstract]." In InSITE 2020: Informing Science + IT Education Conferences: Online. Informing Science Institute, 2020. http://dx.doi.org/10.28945/4543.
Повний текст джерелаBadi, Ibtihal, Andreas Braun, and Lena Kallis. "Model-Based Knowledge Management in HV Battery Development." In SAE/AABC - EV Mobility 2030. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2024. http://dx.doi.org/10.4271/2024-01-2902.
Повний текст джерела"Virtual and knowledge-based organization minitrack." In Proceedings of HICSS33: Hawaii International Conference on System Sciences. IEEE, 2000. http://dx.doi.org/10.1109/hicss.2000.926881.
Повний текст джерелаFeng, Yong, and Hong-Yan Xu. "Design on Post Knowledge Push System for Knowledge-Based Organization." In 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2008. http://dx.doi.org/10.1109/wicom.2008.2545.
Повний текст джерелаShen, Zhang. "Student organization system based on the knowledge management." In 2011 International Conference on E-Business and E-Government (ICEE). IEEE, 2011. http://dx.doi.org/10.1109/icebeg.2011.5882014.
Повний текст джерелаYonghui, Cao, and Liu Hui. "Study of Multi-agent Self-Organization System." In 2009 Second International Symposium on Knowledge Acquisition and Modeling. IEEE, 2009. http://dx.doi.org/10.1109/kam.2009.250.
Повний текст джерелаSharma, Alok, Les Miller, and Sree Nilakanta. "Managing Knowledge for Organization-Wide Ad Hoc Committees." In 2011 44th Hawaii International Conference on System Sciences (HICSS 2011). IEEE, 2011. http://dx.doi.org/10.1109/hicss.2011.297.
Повний текст джерелаXiaowen Wang, Jinsheng He, Shu'en Wang, and Mingrong Wang. "Model and empirical analysis for organization knowledge innovation system." In 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC). IEEE, 2011. http://dx.doi.org/10.1109/aimsec.2011.6011222.
Повний текст джерелаЗвіти організацій з теми "Knowledge Organization System (KOS)"
Winkler-Portmann, Simon J. Knowledge transfer supporting sustainable development: implications for regional intermediaries. Sonderforschungsgruppe Institutionenanalyse, November 2021. http://dx.doi.org/10.46850/sofia.9783941627970.
Повний текст джерелаKaram, Sofia, Morteza Nagahi, Vidanelage Dayarathna, Junfeng Ma, Raed Jaradat, and Michael Hamilton. Integrating systems thinking skills with multi-criteria decision-making technology to recruit employee candidates. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/41026.
Повний текст джерелаFranco Silva, Adriana. Working paper PUEAA No. 19. Dissidences, learning, and organizational experiences of Latin American women: Decolonial Dialogues. Universidad Nacional Autónoma de México, Programa Universitario de Estudios sobre Asia y África, 2023. http://dx.doi.org/10.22201/pueaa.004r.2023.
Повний текст джерелаTyshchenko, Yelyzaveta Yu, та Andrii M. Striuk. Актуальність розробки моделі адаптивного навчання. [б. в.], грудень 2018. http://dx.doi.org/10.31812/123456789/2889.
Повний текст джерелаDiahyleva, Olena S., Igor V. Gritsuk, Olena Y. Kononova, and Alona Y. Yurzhenko. Computerized adaptive testing in educational electronic environment of maritime higher education institutions. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4448.
Повний текст джерелаShiihi, Solomon, U. G. Okafor, Zita Ekeocha, Stephen Robert Byrn, and Kari L. Clase. Improving the Outcome of GMP Inspections by Improving Proficiency of Inspectors through Consistent GMP Trainings. Purdue University, November 2021. http://dx.doi.org/10.5703/1288284317433.
Повний текст джерелаBloch, G., and H. S. Woodard. regulation of size related division of labor in a key pollinator and its impact on crop pollination efficacy. Israel: United States-Israel Binational Agricultural Research and Development Fund, 2021. http://dx.doi.org/10.32747/2021.8134168.bard.
Повний текст джерелаKirchhoff, Helmut, and Ziv Reich. Protection of the photosynthetic apparatus during desiccation in resurrection plants. United States Department of Agriculture, February 2014. http://dx.doi.org/10.32747/2014.7699861.bard.
Повний текст джерелаBourrier, Mathilde, Michael Deml, and Farnaz Mahdavian. Comparative report of the COVID-19 Pandemic Responses in Norway, Sweden, Germany, Switzerland and the United Kingdom. University of Stavanger, November 2022. http://dx.doi.org/10.31265/usps.254.
Повний текст джерелаReducing Cybersecurity Risks at the Organization’s Endpoints: Cybersecurity Best Practices. Inter-American Development Bank, July 2024. http://dx.doi.org/10.18235/0013085.
Повний текст джерела