Knowledge organization systems (2) 2700-M-API-D3SOW

Knowledge: The graduate knows and understands
- to an in-depth degree, the scope and subject specificity as well as theories explaining complex relationships between fact, objects and phenomena relevant to the sciences of social communication and media in the field of information science (K_W01).
- concepts of information and science management as well as research methods, including those appropriate for the analysis and design of information management strategy and tools in entities from different sectors (K_W04).
- research methods specific for information science, used in the analysis of users’ need and information behaviors, including their interactions with digital information products and services, as well as in assessment and development of their information skills (K_W07).
Skills: The graduate can
- use research methods of social communication and media sciences, in particular those appropriate for information science to analyze users’ information needs and behaviors, including their interaction with digital information products and services, as well as to assess and develop their information skills (K_U02).
- formulate and analyze research problems of social communication and media sciences, particularly in the field of information science, as well as present and interpret the results of their own research (K_U05).
- select appropriate methods and tools, including advanced information and communication techniques, to define and solve complex and atypical problems in the area of information and knowledge management system of entities from various sectors (K_U11).
Social competences: The graduate is ready to
- responsible performance of professional roles, taking into account the changing social needs and technological conditions (K_K06).

Assessment methods and assessment criteria:

1. Assignment completion (up to 60%):

- erroneous completion of one assignment – 5%.

2. Class attendance (up to 20%):

- all - 20%;
- one unexcused absence - 10%;
- two unexcused absences - 5%;
- more than two unexcused absences - 0%.

3. Class engagement (up to 20%):

- engagement in 4 or more classes - 20%;
- engagement in 3 classes - 10%;
- engagement in 2 classes - 5%;
- engagement in 1 or fewer classes – 0%.

Final grades:

5: 91-100%;
4,5: 81-90%;
4: 71-80%;
3,5: 61-70%;
3: 50-60%
2: below 50%.

Final positive grades cannot be improved.

1. Allemang, D., & Hendler, J. A. (2011). Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL. Morgan Kaufmann/Elsevier.
2. Beckett, D., Berners-Lee, T., Prud’hommeaux, E., & Carothers, G. (2014). RDF 1.1 Turtle. http://www.w3.org/TR/turtle/
3. Berners-Lee, T., Hendler, J., & Lassila, O. (2001). The Semantic Web: A New Form of Web Content that is Meaningful to Computers will Unleash a Revolution of New Possibilities. Scientific American, 284(5), 34–43. https://www.researchgate.net/publication/225070375_The_Semantic_Web_A_New_Form_of_Web_Content_That_is_Meaningful_to_Computers_Will_Unleash_a_Revolution_of_New_Possibilities
4. Biagetti, M. T. (2021). Ontologies as knowledge organization systems. Knowledge Organization, 48(2), 152–176. https://doi.org/10.5771/0943-7444-2021-2-152
5. Erxleben, F., Günther, M., Krötzsch, M., Mendez, J., & Vrandečić, D. (2014). Introducing Wikidata to the Linked Data web. W P. Mika, T. Tudorache, A. Bernstein, C. Welty, C. Knoblock, D. Vrandečić, P. Groth, N. Noy, K. Janowicz, & C. Goble (Red.), The Semantic Web – ISWC 2014 (T. 8796, s. 50–65). Springer International Publishing. https://doi.org/10.1007/978-3-319-11964-9_4
6. Noy, N.F. & McGuinness, D. (2001). Ontology Development 101: A Guide to Creating Your First Ontology. https://protege.stanford.edu/publications/ontology_development/ontology101.pdf
7. SPARQL Query Language: Syntax and Semantics. https://sparql.dev/article/SPARQL_Query_Language_Syntax_and_Semantics.html
8. What is a Knowledge Graph? https://www.ontotext.com/knowledgehub/fundamentals/what-is-a-knowledge-graph/
9. Wikidata:SPARQL tutorial. https://www.wikidata.org/wiki/Wikidata:SPARQL_tutorial
10. Wood, D., Zaidman, M., Ruth, L., & Hausenblas, M. (2014). Linked Data: Structured Data on the Web. Manning Publications. https://www.manning.com/books/linked-data

Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system:

• Description of 2700-M-API-D3SOW in USOSweb