Semantic Web Technologies2020HT
|
|
Course plan
Lectures
20 hours
Recommended for
Doctoral students in computer science
The course was last given
VT 2018
Goals
After the course the student should:
* Be able to understand and explain the basic ideas of the Semantic Web,
including Linked Data and ontologies, and its related standards (RDF, OWL,
SPARQL,...)
* Be able to understand, retrieve, load in a triple store, query (online or
offline) and use existing RDF datasets 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
* Be able to build an application based on Semantic Web technologies (e.g., by
using RDF data, OWL ontologies, etc.)
* Have a basic idea of the current research topics and open research problems
in the field
Prerequisites
Programming
Contents
* General introduction to 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 an intense week 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
Credit
6
Page responsible: Director of Graduate Studies