Undergraduate Course: Semantic Web Systems (INFR11104)
Course Outline
| School | School of Informatics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Year 4 Undergraduate) |
Availability | Part-year visiting students only |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | The aim of the course is to give students an understanding of the theory and practice of large-scale, knowledge-based systems operating in an open, distributed environment. The primary intended examples of such systems are the Semantic Web; the semantic layer of grid based systems; and the coordination aspects of open multi-agent systems. |
| Course description |
Context
*History of the Semantic Web
*Theory of knowledge sharing
Architectures
*Semantic Web
Languages
*Theory: ontology speci cation, service speci cation and coordination
speci cation
*Practice: using languages for service metadata and service description
Inference
*Reasoning with ontologies for the Semantic Web
*Service composition
Craft
*Building example ontologies
*Building Semantic Web sites
Relevant QAA Computing Curriculum Sections: Arti cial Intelligence, In-
telligent Information Systems Technologies
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | This course is open to all Informatics students including those on joint degrees. For external students where this course is not listed in your DPT, please seek special permission from the course organiser.
Students should have a basic familiarity with the syntax and semantics of first order logic. |
Information for Visiting Students
| Pre-requisites | None |
| High Demand Course? |
Yes |
Course Delivery Information
| Not being delivered |
Learning Outcomes
On completion of this course, the student will be able to:
- Show an understanding of the basic principles of different theoretical models of distributed knowledge-based systems, and assess their applicability to specific knowledge-sharing tasks.
- Describe the motivations for, and effectiveness of, inference techniques in the implementation of distributed knowledge-based systems.
- Critically assess the adequacy of relevant standards (WSDL, RDF, OWL, etc) as a basis for building practical systems.
- Demonstrate an understanding of how the architecture and design of distributed knowledge-based systems interacts with wider social and technological developments.
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Reading List
*Dean Allemang and Jim Hendler, Semantic Web for the Working Ontologist (2nd edition), Morgan
Kaufman 2011
*Tom Heath and Christian Bizer, Linked Data: Evolving the Web into a Global Data Space, Morgan
& Claypool 2011 |
Contacts
| Course organiser | Dr Jacques Fleuriot
Tel: (0131 6)50 9342
Email: Jacques.Fleuriot@ed.ac.uk |
Course secretary | Mr Gregor Hall
Tel: (0131 6)50 5194
Email: gregor.hall@ed.ac.uk |
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