Course Catalog 2014-2015
Postgraduate

Basic Pori International Postgraduate Open University

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Course Catalog 2014-2015

MAT-82106 Semantic Modeling, 4 cr

Additional information

No implementations in 2014-2015. Lectured every second calendar year (during academic years starting with an odd number). Implementation announcements and news are available at the teaching home page of the TUT Department of Mathematics, Intelligent Information Systems Laboratory.
Suitable for postgraduate studies
Will not be lectured year 2014-2015

Person responsible

Ossi Nykänen

Learning Outcomes

Semantic modelling is about capturing discrete or conceptual domain information using generic modelling primitives. This enables analysing, integrating, and searching knowledge, and deducing implicit information within specific domain(s) of interest. In this course, we familiarize ourselves with the basic concepts, techniques, and applications related to semantic modelling. The methodological foundation for the course is established by logic programming and description logic(s). We apply these methods in the context of Semantic Web technologies; in (ontology) modelling and query applications. The main objectives of the course are to understand the role of logical descriptions in knowledge-intensive applications, and to get hands-on experience on implementing simple applications.

Content

Content Core content Complementary knowledge Specialist knowledge
1. Methodological foundation: Basic (discrete mathematics) semantic modelling strategies; Predicate calculus as reasoning and representation system; Management and complexity issues; Description Logic(s).   Prolog.   
2. Technological foundation: (W3C Semantic Web) Resource Description Framework (RDF, RDF Schema); Simple Knowledge Organization System (SKOS) SPARQL query language; Web Ontology Language (OWL).   Technological context; Serialization syntaxes; Related applications.   
3. Application development: Linked Data; Domain ontology/rule modelling; Semantic Web Programming.   Related frameworks (Jena) and integrated development environments (Eclipse, Protege); Microformats.   

Instructions for students on how to achieve the learning outcomes

The grade is based on the assignments and the final exam.

Assessment scale:

Numerical evaluation scale (1-5) will be used on the course

Prerequisite relations (Requires logging in to POP)



Correspondence of content

Course Corresponds course  Description 
MAT-82106 Semantic Modeling, 4 cr MATHM-57306 Semantic Techniques and Applications, 3 cr  

Last modified05.03.2014