MAT-82106 Semantic Modeling, 4 cr
Additional information
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
Person responsible
Ossi Nykänen
Lessons
Implementation 1: MAT-82106 2015-01
| Study type | P1 | P2 | P3 | P4 | Summer |
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Requirements
The grade is based on the assignments and the final exam.
Learning Outcomes
Semantic modeling is about capturing discrete or conceptual domain information using generic (logic) modeling primitives. This enables analyzing, integrating, and searching knowledge, and deducing implicit information within specific domain(s) of interest. The methodological foundation for the course is established by logic programming and description logic(s). We apply these methods in the context of Semantic/Data Web technologies; in (ontology) modeling and in query applications. After actively studying the course, the student understands the basic concepts, methods, and applications related to semantic modeling. Further, the student knows several semantic modeling techniques and processing tools and can implement certain kinds of semantic search and inference applications using SKOS, RDF, OWL, SPARQL and Java. 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 modeling strategies; Predicate calculus as representation and reasoning system; Description Logic(s) and Prolog. | Expressiveness and complexity issues | |
| 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 and engineering use cases | |
| 3. | Application development: Linked Data; Domain ontology modeling; Semantic Web Programming. | Related frameworks (Jena and Pellet) and integrated development environments (Eclipse, Protege); Microformats. |
Instructions for students on how to achieve the learning outcomes
Working actively with the exercises and the assignments, hands-on and throughout the course, is essential. (Simply "listening" and "reading" is not enough.)
Assessment scale:
Numerical evaluation scale (1-5) will be used on the course
Correspondence of content
| Course | Corresponds course | Description |
| MAT-82106 Semantic Modeling, 4 cr | MATHM-57306 Semantic Techniques and Applications, 3 cr |