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  • The #dariahTeach Project
  • The IGNITE Project
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  • Introduction
  • Unit I – Knowledge organisation: what is it?
  • Unit II - Knowledge organisation in action
  • Unit III – Going automatic
  • Unit IV - The big picture
  • Unit IV - The big picture

    At the very end of this course, let us revise pros and cons of the different approaches to knowledge organization: intellectual by information professionals (manual), social tagging and automatic. And let us also remember what a big role the search interface plays. 

    • 4.1 Combining KO approaches Lesson
    • 4.2 KO at the search interface Lesson
    • Combining KO approaches Interactive Content
    • The role of the search interface Interactive Content
◄Unit III – Going automatic
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Introduction
  Why are Knowledge Organisation Systems Important?
  A Dimpah OER
  Learning Objectives and Methods
  Instructions
  Help Us Improve the OER
Unit I – Knowledge organisation: what is it?
  1.1 KO and KOS
  • 1.1.1 Core Concepts and Origins of Knowledge Organisation and Knowledge Organisation Systems
  • 1.1.2 KOS and Information Retrieval
  • 1.1.3 Types of Knowledge Organisation Systems I
  • 1.1.4 Types of Knowledge Organisation Systems II
  • 1.1.5 Exercises
  Timeline
  Classification
  Subject Headings
  Thesaurus
  Searching for Macedonia
Unit II - Knowledge organisation in action
  2.1 KO in digital humanities
  • 2.1.1 Identifying relevant concepts
  • 2.1.2 ICONCLASS
  • 2.1.3 UNESCO Thesaurus
  • 2.1.4 Folksonomies and social tagging
  2.2 Practical exercises
  • 2.3.1 Exercise: searching digital historical newspapers with KOS
  • 2.3.2 Exercise: subject indexing of performing arts
  • 2.3.3 Exercise: subject indexing of images
Unit III – Going automatic
  3.1 How automatic methods work
  • 3.1.1 Why automatic methods?
  • 3.1.2 Terminology
  • 3.1.3 Basic principles
  • 3.1.4 Common approaches
  Text pre-processing
  Which approach would you choose when adding to an existing collection?
  Which approach would you choose when an independent collection?
  3.2 Automation and evaluation challenges
  • 3.2.1 Automation challenges
  • 3.2.2 Evaluation challenges
  • 3.2.3 Application in operative systems
  Logical positivism
  Concepts aren't always named
  A case of professional, social and automatic subject indexing
Unit IV - The big picture
  4.1 Combining KO approaches
  • 4.1.1 Pros and cons of manual, automatic and social KO
  • 4.1.2 Case study 1: Enhancing social tagging with KOS and automatic suggestions
  • 4.1.3 Case study 2: Searching for (LGBTQ+) fiction
  • 4.1.4 Assignment (for flipped-classroom use)
  4.2 KO at the search interface
  • 4.2.1 The role of the search interface
  • 4.2.2 Case study of search functionalities
  • 4.2.3 Implications of identified KO complexities
  Combining KO approaches
  The role of the search interface
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          • Introduction

          • Unit I – Knowledge organisation: what is it?

          • Unit II - Knowledge organisation in action

          • Unit III – Going automatic

          • Unit IV - The big picture

            • Lesson4.1 Combining KO approaches

            • Lesson4.2 KO at the search interface

            • Interactive ContentCombining KO approaches

            • Interactive ContentThe role of the search interface

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Main Language

en

Other Languages

aa

Publisher Name

dariahTeach

Authors

Olivia Pestana, Koraljka Golub

Licence

CC-BY-SA

Publication Date

2023-05-23 12:53:00

ECTS

5

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