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Summary Knowledge Organization

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Summary based on lectures. I got an 8.5 for the exam. This course covers the general principles and methods that form the foundation of information organization and knowledge-intensive processes, as well as the contexts in which they can be applied and the interaction with users. The lecture topics include knowledge modeling, ontologies, logic, controlled natural language, Semantic Web and Linked Data, as well as knowledge maintenance and evaluation, in addition to guest lectures on specific applications and domains.

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Knowledge Organization
Blok 1 | 2023-2024

,Inhoud
_________________________________________________________________________



Inhoud 2
HC1: Introduction 4
HC2: Knowledge Organization Overview 5
Organizing knowledge: Why? 6
Organizing knowledge: What? 7
Organizing knowledge: Who? 7
Organizing knowledge: How? 8
HC3: Resource Descriptions 9
Describing resources 9
Four categories of properties 10
Controlled Vocabularies 10
Categorization 11
Classification for describing resources 12
Logic and ontologies 12
HC4: Ontologies 13
Epistemology 14
Concepts 14
Ontologies 16
Categorisation 17
HC5: Logic 20
Logical fallacies 20
Logic formalisms 20
Logic notations 21
Syllogisms 21
Reasoning 21
From Syllogisms to First-Order Logic 21
First order logic 22
Description Logics 25
Higher-Order Logic 25
Tasks for Logic 26
Assignment 26
HC6: Controlled Natural Language (CNL) 27
Controlled Natural Language (CNL) 27
PENS Classification Scheme 28
Semantics of Business Vocabulary and Business Rules (SBVR) 29
Attempto Controlled English (ACE) 29
AceWiki 30
HC7: Knowledge Representation on the Web 32
Properties of the Web 32

, Challenges of knowledge representation on the Web 32
Semantic Web Languages 33
HC8: The Ubiquity of Knowledge Organization 36
History 37
Elements of Knowledge Organization 37
Kinds of KO Systems 38
The discipline and science of KO 38
Concept theory 38
Multi-dimensional KO 38
Lotka’s law of author productivity 38
Instantiation 39
Domain analysis 39
Integrative levels 40
Ethics 40
HC9: Knowledge Modeling 41
Modelling 42
Types of creating categories in general 42
Functional Requirements for Bibliographic Records (FRBR) 43
HC10: Explainable AI 45
XAI taxonomies 45
Surrogate models 46
Local Interpretable Model-agnostic Explanations (LIME) 46
Counterfactuals 47
Literature 48
HC11: Semantic Fire Fighting 50
Literature 50
HC12: Smart, Connected and Open Audio-Visual Content 51
Literature 51

, HC1: Introduction
_________________________________________________________________________

Exam
● 75% of grade (minimum of 6.0)
● Assessment
● A4 sheet with notes allowed
● 10 free text (open) questions

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March 20, 2024
Number of pages
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Written in
2023/2024
Type
SUMMARY

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