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Foundations of Linked Data

Module Description

Course	Module Abbreviation	Credit Points
BA-2010[100%\|75%]	CS-CL	6 LP
BA-2010[50%]	BS-CL	6 LP
BA-2010[25%]	BS-AC	4 LP

Lecturer	Maribel Acosta Deibe, Dr. Basil Ell
Module Type	Vorlesung
Language	English
First Session	09.08.2021
Last Session	13.08.2021
Time and Place	daily, 10:00-17:00, Room: tba
End of Commitment Period	tba

Course Link

https://tinyurl.com/linkeddata21

Assessment

written exam (60 minutes)

Inhalt

The Linked Data principles are a set of practices for publishing knowledge graphs on the web. Linked Data builds on the web architecture and uses HTTP for data access, and RDF for describing data, thus aiming towards web-scale data integration. There is a vast amount of data available published according to those principles: recently, 4.5 billion facts have been counted with information about various domains, including music, movies, geography, natural sciences. A selection of the available knowledge graphs is available at www.lod-cloud.net. Linked Data is also used to make web-pages machine-understandable, corresponding annotations are considered by the big search engine providers.

The lecture combines techniques from different areas, such as Databases and Artificial Intelligence, adapted for use on the web.

The lecture covers foundational techniques to access, process and integrate data, both from a theoretical and practical perspective using the recommendations by the World Wide Web Consortium. The lecture sets out with a brief history of hypertext systems, followed from an introduction to web architecture and knowledge representation, including algorithms for query evaluation and deductive reasoning.

The lecture closes with a discussion about current opportunities and challenges of applying Linked Data technologies together with Natural Language Processing techniques.

Content

Linked Data and the Web of Data
Linked Data Basics
The Resource Description Framework (RDF)
RDF Schema (RDFS)
The SPARQL Query Language
SPARQL Query Evaluation
The Web Ontology Language (OWL)
Linked Open Data (LOD) and Linked Open Vocabularies (LOV) on the Web
Entailment Regimes over Linked Data
Applications of Linked Data

Course Structure

The course comprises lecture sessions accompanied with practical exercises and computer exercises.

Module Overview

Agenda

Date

Session

Materials

Literature

Andreas Harth. Introduction to Linked Data. (Selected chapters will be provided in the lecture).
Pascal Hitzler, Markus Krötzsch, Sebastian Rudolph. Foundations of Semantic Web Technologies. Chapman & Hall/CRC, 2009
Tom Heath, Christian Bizer. Linked Data: Evolving the Web into a Global Data Space. Morgan & Claypool, 2011.
Dean Allemang. Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL. Morgan Kaufmann, 2008.