Postgraduate Course: Multi-agent Semantic Web Systems (Level 11) (INFR11030)
Course Outline
| School | School of Informatics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Year 4 Undergraduate) |
Availability | Available to all students |
| 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 and Multi-agent systems
* Theory of knowledge sharing
Architectures
* Semantic Web and Multi-agent systems
Languages
* Theory: ontology specification, service specification and coordination specification
* Practice: using languages for service metadata and service description
Inference
* Reasoning with ontologies for the Semantic Web
* Service composition
* Service brokering
Craft
* Building example ontologies for agent communication
* Building Semantic Web sites
* Coordinating complex services
Relevant QAA Computing Curriculum Sections: Artificial Intelligence, Intelligent Information Systems Technologies
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | Students MUST NOT also be taking
Multi-agent Semantic Web Systems (Level 10) (INFR10019)
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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 |
Course Delivery Information
| Not being delivered |
Learning Outcomes
1 - 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.
2 - Describe the motivations for, and effectiveness of, inference techniques in the implementation of distributed knowledge-based systems.
3 - Critically assess the adequacy of relevant standards (WSDL, RDF, OWL, etc) as a basis for building practical systems.
4 - 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, Morgan Kaufman 2008
* Thomas B. Passin, Explorer's Guide to the Semantic Web, Manning 2004.
* Michael Wooldridge, An Introduction to MultiAgent Systems, Wiley 2nd Edition, 2009 |
Contacts
| Course organiser | Dr Mary Cryan
Tel: (0131 6)50 5153
Email: mcryan@inf.ed.ac.uk |
Course secretary | Miss Kate Farrow
Tel: (0131 6)51 3211
Email: Kate.Farrow@ed.ac.uk |
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