Data and Knowledge Management Technologies

Major: Information, Library and Archival Science
Code of subject: 7.029.01.O.004
Credits: 5.00
Department: Social Communication and Information Activities
Lecturer: Ph. D., Associate Professor Yuriy Syerov
Semester: 1 семестр
Mode of study: денна
Learning outcomes: • Ability to solve complex tasks and practical problems in the information, library and archival field or in the learning process, which involves research and / or innovation and is characterized by uncertainty of conditions and requirements. • Ability to generate new ideas (creativity). • Ability to identify, formulate and solve problems. • Ability to form an effective management system for information, library and archival activities. • Ability to organize work and manage information and analytical departments at enterprises, organizations and institutions, in particular in archival and library. • Ability to apply technologies and procedures of analytical and synthetic processing of scientific and management information. • Ability to track trends in the subject area by analyzing information flows and arrays. • Ability to use computer technology to improve professional activity, understand the principles of design and operation of automated databases, the Semantic Web, web services and social media. • Ability to determine the specifics of the subject area of activity for the tasks formulation of automation of information processes. • Ability to carry out information monitoring. • Carry out the organization and management of information and analytical activities at enterprises and institutions. • Carry out procedures for analytical and synthetic processing of scientific and management information. • Create and implement information products and services demanded by consumers. • Develop models of the subject area, apply the principles of designing automated databases, semantic web, web services and social media in information activities. • Use application software to solve management and / or scientific problems based on a combination of human intellectual abilities with the functionality of information systems.
Required prior and related subjects: • Internet processing technology consolidated documentation resources; • Information technologies of business organization; • Management of project activities.
Summary of the subject: The discipline covers issues of knowledge engineering, knowledge representation using graphs, hierarchical knowledge represantation, models of knowledge representation, methods of ontologіcal engineering knowledge mining from databases and text, knowledgebase and WWW, ontologies and ontologіcal engineering.
Assessment methods and criteria: • written reports on laboratory work, oral examination (40%); • final control (exam): written, oral form (60%).
Recommended books: 1. Priymak V. Knowledge Management: Textbook. Kyiv, 2019. 240 p. 2. Davydova IO The role of knowledge in the organization of library activities. Visn. Kharkiv. state acad. culture: coll. Science. works Vip. 53. H .: HDAK, 2018. Pp. 39-48. 3. Lobuzina KV Technologies of organization of knowledge resources in library and information activities: monograph. K., 2012. 252 p. 4. Ostrovskaya GY Knowledge management system as a tool for effective use of intellectual potential of the enterprise. Economic Forum, 2019, 1: 104-110. 5. Milton N., Lambe P. The knowledge manager's handbook: a step-by-step guide to embedding effective knowledge management in your organization. Kogan Page Publishers, 2019, 320 p. 6. Campanella F., Derhy A., Gangi F. Knowledge management and value creation in the post-crisis banking system. Journal of Knowledge Management, 2019. 7. North K., Maier R., Haas O. Knowledge Management in Digital Change: New Findings and Practical Cases (Progress In IS), Springer, 2018, 407 P. 8. Gloet M., Samson D. Knowledge management and systematic innovation capability. In: Disruptive Technology: Concepts, Methodologies, Tools, and Applications. IGI Global, 2020. p. 1198-1218. 9. Shams, SM Riad, et al. (ed.). Cross-functional knowledge management: The international landscape. Routledge, 2019, 210 p. 10. Subramanian R. M. Digital Knowledge Management Practices In Academic Libraries With Special Reference To Modern Era. Studies in Indian Place Names, 2020, 40.3: 4199-4204. 11. Sakr S., Zomaya A. Encyclopedia of big data technologies. Springer Publishing Company, Incorporated, 2019, 1820 p. 12. Nedelko Z. et al. Strategies and tools for knowledge management in innovation and the future industry. In: The role of knowledge transfer in open innovation. IGI Global, 2019. p. 179-202. 13. Blum A., Hopcroft J., Kannan R. Foundations of data science. Cambridge University Press, 2020, 432 p. 14. Burkov A. The hundred-page machine learning book. Quebec City, Can.: Andriy Burkov, 2019, 160 p.