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Ontologies and ontology engineering2011VT
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Course plan
Lectures
preliminary: 12h lectures + 12h seminars
Recommended for
PhD students in Computer Science, Informatics and Cognitive Science
The course was last given
New course
Goals
- To gain an understanding of ontologies and the issues related to ontology
engineering
- To be able to develop and manage simple ontologies using ontology engineering
tools
- To be able to use ontologies in a semantically-enabled application
Prerequisites
Knowledge in data modeling, logic, information retrieval, information
extraction may be advantageous, but is not required.
Contents
Ontologies can be seen as defining the basic terms and relations of a domain of
interest, as well as the rules for combining these terms and relations. In
recent years many ontologies have been developed. They are a key technology
for the Semantic Web and semantically-enabled applications. The benefits of
using ontologies include reuse, sharing and portability of knowledge across
platforms, as well as improved documentation, maintenance, and reliability.
Ontologies lead to a better understanding of a field and to more effective and
efficient handling of information in that field.
This course introduces ontologies (in a wide sense), shows applications that
use ontologies and discusses how to engineer ontologies.
Ontologies: definitions/foundations, classification of ontologies,
knowledge representation, well-known ontologies, ontology repositories
Ontology engineering including
- ontology development (best practices, tools) - how to develop ontologies?
- ontology learning and population (concept extraction, structure extraction)
- how to extract ontologies/concepts/instances from text?
- ontology alignment (approaches, evaluations, Ontology Alignment Evaluation
Initiative, tools) - how to map the terms in different ontologies?
- ontology repair (approaches for repairing semantic defects and modeling
defects) - how to repair ontologies with defects?
Applications using ontologies: ontology-based search, integration, text mining.
Organization
Lectures, seminars, assignments,
Literature
collection of research articles
Lecturers
Patrick Lambrix, Henrik Eriksson, Lars Ahrenberg
Examiner
Patrick Lambrix, Henrik Eriksson, Lars Ahrenberg
Examination
seminars + term paper
(extra credit possible for project work)
Credit
6hp
(extra credit possible for project work)
Organized by
Comments
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