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Ontologies and ontology engineering

2011VT

Status Archive
School National Graduate School in Computer Science (CUGS)
Division IDA
Owner Patrick Lambrix
Homepage http://www.ida.liu.se/~patla/courses/OE/

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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)

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Last updated: 2012-05-03