ISKB18 Organization of Information

Faculty of Arts
Autumn 2022
Extent and Intensity
1/1/0. 4 credit(s). Type of Completion: zk (examination).
Teacher(s)
Mgr. Josef Schwarz (lecturer)
Guaranteed by
PhDr. Petr Škyřík, Ph.D.
Department of Information and Library Studies – Faculty of Arts
Contact Person: Mgr. Alice Lukavská
Supplier department: Department of Information and Library Studies – Faculty of Arts
Timetable
Fri 14:00–15:40 D21
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The course deals with the issue of information retrieval languages as tools for information organization. It is based on the basic concepts of information science, such as concepts of document, information and information system. It puts information retrieval languages in the context of these notions, connect them with concept theory, conceptual models and ontologies. Information retrieval languages are clearly defined and classified through their core features. The course teaches students to analyze information resource, to choose the expressions of an information retrieval language and search for information through it.
Learning outcomes
At the end of this course, students
  • a) will be able to orientate themselves in information organization especially through information retrieval languages and
  • b) will be able to analyze the content of the document,
  • c) express it through the expression of the information retrieval language, and
  • d) search for information using the information retrieval languages.
  • Syllabus
    • Subject of information organization. Data - information - knowledge - wisdom
    • Information organization area: user - information system - domain. Domain model
    • Concepts and conceptual models
    • Ontologies. FRBR. Semantic web
    • Languages. Natural and information retrieval languages
    • Information organization systems (information retrieval languages) and their typology
    • Identification retrieval languages. Rules and formats
    • Subject retrieval languages. Subject headings. National authorities.
    • Systematic retrieval languages. MDT
    • Content analysis, indexing, classification
    • Search using information retrieval languages
    Literature
    • AIKAWA, Hiroko. Guidelines on subject access to individual works of fiction, drama, etc. 2. ed. Chicago: American Library Association, 2000, iii, 67. ISBN 0838935036. info
    • AITCHISON, Jean, Alan GILCHRIST and David BAWDEN. Thesaurus construction and use : a practical manual. 4th ed. London: Aslib, 2000, xiv, 218. ISBN 0851424465. info
    • FOSKETT, A. C. The subject approach to information. 5th ed. London: Library Association Publishing, 1996, xv, 456. ISBN 1856040488. info
    • CHU, Heting. Information representation and retrieval in the digital age. Medford, New Jersey: Information Today, Inc., 2003, xiv, 248. ISBN 1573871729. info
    • SMITH, Sherry L. and Kari J. KELLS. Inside indexing : the decision-making process. [S.l.]: Northwest Indexing Press, 2005, vii, 189. ISBN 0977103501. info
    • The future of classification. Edited by Rita Marcella - Arthur Maltby. Aldershot: Gower, 2000, xv, 144. ISBN 0566079925. info
    Teaching methods
    Lectures, guided discussions on selected topics, homeworks.
    Assessment methods
    Written test, colloquium.
    Language of instruction
    Czech
    Further Comments
    Study Materials
    The course is taught annually.
    The course is also listed under the following terms Autumn 2021, Autumn 2023, Autumn 2024.
    • Enrolment Statistics (Autumn 2022, recent)
    • Permalink: https://is.muni.cz/course/phil/autumn2022/ISKB18