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Introduction to Knowledge Graphs and Semantic Web Technologies

2023VT

Status Active - open for registrations
School IDA-gemensam (IDA)
Division IDA
Owner Olaf Hartig

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Course plan

Lectures

20 hours

Recommended for

Doctoral students in Computer Science

The course was last given

HT 2020

Goals

After the course the student should:
* Be able to understand and explain the basic ideas of Knowledge Graphs and Semantic Web Technologies, including Linked Data and ontologies, and the related standards (RDF, OWL, SPARQL,...)
* Be able to understand, retrieve, load in a triple store, query (online or offline) and use existing RDF-based Knowledge Graphs from the Web
* Be able to use an ontology engineering methodology and ontology engineering tools to design and formalize a high-quality OWL ontology, based on a specific usage scenario (set of requirements)
* Be able to evaluate, align, and repair an OWL ontology, using current methods and tools for ontology alignment, evaluation, and repair
* Be able to understand and to explain how ontologies are typically used in applications
* Have a basic idea of the current research topics and open research problems in the field

Prerequisites

Programming

Contents

* General introduction to Knowledge Graphs, the Semantic Web, and Semantic Web technologies
* RDF data model and the SPARQL query language, storing and querying RDF data
* Storing, querying, generating, and providing access to RDF data
* Data quality and data cleaning in the Semantic Web
* Ontologies and ontology languages (RDFS, OWL)
* Ontology engineering
* Ontology evaluation, debugging and repairing
* Aligning ontologies; integrating and interlinking RDF data
* Schema and Constraints Languages for RDF

Organization

The course consists of lectures and hands-on sessions; lab assignments, and project or term paper work.

Literature

Collection of articles

Lecturers

Patrick Lambrix, Eva Blomqvist, Olaf Hartig

Examiner

Olaf Hartig

Examination

Attendance, lab exercises, and term paper or project

Credits

6


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