Metadata II 2700-L-API-D2M2
The course aims to provide students with basic skills in indexing of different types of documents such as text documents and images. Students familiarize themselves with different conceptions of subject analysis, thesauri: UNESCO Thesaurus, Medical Subject Headings, Thesaurus for Graphic Materials and Getty vocabularies: Art & Architecture Thesaurus, The Cultural Objects Name Authority, The Getty Iconography Authority, The Getty Thesaurus of Geographic Names, and The Union List of Artist Names. They also index selected text documents and images.
Type of course
Mode
Course coordinators
Learning outcomes
After completing the course, students:
KNOWLEDGE:
- know methods of analysis and interpretation of different information resources, compliant with different theories in the library and information science (K_W04).
- know the procedures and tools enabling people and machines to access information resources, especially in terms of generating and using document metadata (K_W06).
SKILLS:
- are capable of correctly generating metadata for different types of documents (K_U03).
OTHER COMPETENCES:
- can critically assess and develop their skills in using information resources (K_K01).
Assessment criteria
1. Attendance:
a) full - 25%;
b) one absence - 20%;
c) two absences - 15%;
d) three absences and more - 0%.
2) Written test - up to 75%.
Final grades:
5: 91-100%
4,5: 81-90%
4: 71-80%
3,5: 61-70%
3: 50-60%
Final positive grades cannot be improved.
Practical placement
none
Bibliography
1. Murtha Baca, Patricia Harpring (eds.): Categories for the Description of Works of Art. 2022. WWW: https://www.getty.edu/research/publications/electronic_publications/cdwa/index.html
2. Murtha Baca et al. (eds.): Metadata Standards Crosswalks. 2022. WWW: https://www.getty.edu/research/publications/electronic_publications/intrometadata/crosswalks.html
3. Judit Bar-Ilan, Maayan Zhitomirsky-Geffet, Yitzchak Miller, Snunith Shoham: The effects of background information and social interaction on image tagging. „Journal of the American Society for Information Science and Technology” 2010, 61(5), s. 940–951.
4. Teresa Głowacka: Analiza dokumentu i jego opis przedmiotowy. Warszawa 2003.
5. Koraljka Golub: Automatic subject indexing of text. In ISKO Encyclopedia of Knowledge Organization. Ed. B. Hjørland. 2019. WWW: https://www.isko.org/cyclo/automatic.
6. Patricia Harpring: Introduction to Controlled Vocabularies: Terminology for Art, Architecture, and Other Cultural Works. Los Angeles 2010. WWW: http://www.getty.edu/research/publications/electronic_publications/intro_controlled_vocab/index.html.
7. Birger Hjørland: Indexing: Concepts and Theory. In ISKO Encyclopedia of Knowledge Organization. Ed. B. Hjørland. 2018. WWW: http://www.isko.org/cyclo/indexing.
8. Birger Hjørland: Subject (of Documents). In ISKO Encyclopedia of Knowledge Organization. Ed. B. Hjørland. 2016. WWW: http://www.isko.org/cyclo/subject.
9. Pierre De Keyser: Indexing: from thesauri to the Semantic Web. Oxford 2012.
10. PubMed for Librarians: MeSH (Medical Subject Headings). WWW: https://www.youtube.com/watch?v=BpCq8I30ZYY.
11. James Mork, Alan Aronson, Dina Demner-Fushman: 12 years on–Is the NLM medical text indexer still useful and relevant? “Journal of biomedical semantics” 2017, 8(1), 8. WWW: https://jbiomedsem.biomedcentral.com/track/pdf/10.1186/s13326-017-0113-5.
12. Paweł Rygiel: Opis rzeczowy dokumentu ikonograficznego – wstęp do problematyki. "Zagadnienia Informacji Naukowej" 2011, nr 2, s. 102-112. WWW: http://bbc.uw.edu.pl/Content/1853/z2011_2_08.pdf.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: