Dynamics of Knowledge Organisation
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Dynamics of Knowledge Organisation

An interdisciplinary approach to time, change, semantics and ordering
4.0 (4 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
864 students enrolled
Last updated 3/2017
English
Price: Free
Includes:
  • 2 hours on-demand video
  • 5 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Get a first glance at cutting-edge methods and technologies (semantic technologies, vector fields, ontologies).
  • Relate theories of word meaning to vector-based information representation.
  • Learn about the foundations of the Semantic Web initiative and its core concepts and technologies.
  • Explore the relevance of semantic technologies to vastly interdisciplinary fields, like Digital Preservation.
  • Get a better view of the emerging paradigm of knowledge representation through ontologies.
  • Discuss how ontology evolution (i.e. the change of ontologies over time) can serve as a means for studying semantic drift.
View Curriculum
Requirements
  • Εlementary understanding of text processing
  • Βasic knowledge of the fundamentals of HTML and XML
Description

Together we’ll explore the involvement and application of semantics in Digital Preservation. We will look at the difference between sentence and word meaning as well as how semantic decay endangers access to digital objects over time. We will also explore the shared concerns of philosophy, semantics, semiotics, logic, and information science to model and understand semantic drifts that endanger future access to preserved content. 

This course will familiarize you with core ideas for representing word meaning by vectors, including a respective match between linguistics and information science. Together we will explore open-ended research questions and an ongoing effort to model semantic change on a vector field as well as the emerging paradigm of the Semantic Web and the core underlying technologies. We will also introduce technologies related to Digital Preservation as well as notions of evolving semantics and semantic drift.

The material presented in this course is based on the results of the EU-funded research project PERICLES: Promoting and Enhancing Reuse of Information throughout the Content Lifecycle taking account of Evolving Semantics.

Who is the target audience?
  • Digital Preservation and Digital Humanities practitioners who are interested in investigating the deployment of semantics and relevant cutting-edge technologies.
  • Researchers working on semantics who are interested in investigating the application of relevant methods and technologies in a Humanities field.
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Curriculum For This Course
Expand All 10 Lectures Collapse All 10 Lectures 02:01:03
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Introduction
1 Lecture 02:05

The module studies the involvement and application of semantics in Digital Preservation and focuses on two different but potentially interrelated approaches: (a) vectors, matrices, and vector fields; (b) graph-based structures and ontologies.

The material presented in this course is based on the results of the EU-funded research project PERICLES: Promoting and Enhancing Reuse of Information throughout the Content Lifecycle taking account of Evolving Semantics.

Introduction
02:05
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Semantics and Digital Preservation: Basic Concepts, Theories and Trends
1 Lecture 18:55

Understand the difference between vectors, matrices, vector space, vector field. Understand bicomponential theories of word meaning. Get a grasp of term weighting to distribute content in vector space. See the link between distributed content vs. lexical fields in semantics.

Semantics and Digital Preservation
18:55
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Vectors and Matrices: Word Meaning for Advanced Access
2 Lectures 25:12

Get a grasp of how to represent word meaning in vector space, and how to compare two words or two documents if their meaning is similar.

Vectors and Matrices: Part 1
15:00

Familiarize yourself with theories of word meaning compliant with a representation by vectors and matrices to enable advanced access to collections. 

Vectors and Matrices: Part 2
10:12
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Vector Fields: A New Approach to Evolving Semantics
2 Lectures 24:54

Get exposed to the idea that if collections evolve, their content dynamics can be modeled on vector fields, the next step in understanding semantics.

Vector Fields: Part 1
15:19

We finish off this part by going back to Aristotle to invite physics as a metaphor to model context-dependent evolving content.

Vector Fields: Part 2
09:35
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The Semantic Web and the Emergence of Ontologies
2 Lectures 22:07

Get a grasp of the benefits offered by the Semantic Web when compared to today’s traditional Web and gain a deeper understanding of the underlying architecture and technologies.

The Semantic Web: Part 1
14:41

Be introduced to ontologies, a rapidly emerging approach for knowledge representation, and their role in revolutionizing today’s Web.

The Semantic Web: Part 2
07:26

Please give your answers to the following multiple choice questions

Section 5 quiz
3 questions
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Semantic Technologies and Digital Preservation
1 Lecture 15:39

Get a better understanding of the problems and risks faced by Digital Preservation today and get introduced to the notions and risks of semantic ageing and cultural ageing.

Semantic Technologies and Digital Preservation
15:39

Please give your answers to the following multiple choice questions

Section 6 quiz
2 questions
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Evolving Semantics, Ontology Evolution and Semantic Drifts
1 Lecture 12:11

Get introduced to the advanced notions of evolving semantics, semantic drift, ontology evolution and be acquainted with a methodology for quantitatively measuring the evolution of ontologies over time.

Evolving Semantics
12:11

Please give your answers to the following multiple choice questions

Section 7 quiz
2 questions
About the Instructor
Dr Efstratios Kontopoulos
4.0 Average rating
3 Reviews
864 Students
1 Course
Researcher at CERTH/ITI

Received his PhD in Artificial Intelligence from the Aristotle University of Thessaloniki in 2011. He also holds a BSc in Applied Mathematics from the same University (2003) and an MSc (Dist) in Computer Science from the University of Essex, UK (2004). He participated in several national and international research projects and published a number of international journal and conference proceedings papers. He currently works as a Senior Researcher at the Information Technologies Institute (ITI) of the Center for Research and Technology, Hellas (CERTH). His research interests include Knowledge Representation and Reasoning, Semantic Technologies and Rule-based Systems.

Dr Sándor Darányi
4.0 Average rating
3 Reviews
864 Students
1 Course
Professor, Swedish School of Library and Information Science

Sándor Darányi has research interests in advanced access to digital libraries; digital preservation; narrative genomics for the study of intangible cultural heritage (e.g. mythologies and tales); quantum interaction; and evolving semantics. In the latter area, his recent interest is social mechanics, i.e. the influence of community context on language dynamics. He has been involved in several national and international research projects, with publications on e.g. the integration of simulations in formal models of digital libraries; physics as a metaphor to model language change; and formalization of folk narratives for the extraction of test collections from unstructured big data. With an international background, he has been employed at the University of Borås (Sweden) since 2003.