Postgraduate Course: Multi-agent Semantic Web Systems (Level 11) (INFR11030)
|School||School of Informatics
||College||College of Science and Engineering
||Availability||Available to all students
|Credit level (Normal year taken)||SCQF Level 11 (Year 4 Undergraduate)
|Home subject area||Informatics
||Other subject area||None
||Taught in Gaelic?||No
|Course description||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.
Entry Requirements (not applicable to Visiting Students)
|Prohibited Combinations|| Students MUST NOT also be taking
Multi-agent Semantic Web Systems (Level 10) (INFR10019)
||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.
|Additional Costs|| None
Information for Visiting Students
|Displayed in Visiting Students Prospectus?||Yes
Course Delivery Information
|Delivery period: 2013/14 Semester 2, Available to all students (SV1)
||Learn enabled: No
|Course Start Date
|Breakdown of Learning and Teaching activities (Further Info)
Lecture Hours 20,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
|Breakdown of Assessment Methods (Further Info)
||Hours & Minutes
|Main Exam Diet S2 (April/May)||Multi-agent Semantic Web Systems||2:00|
Summary of Intended 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.
|Written Examination 70|
Assessed Assignments 30
Oral Presentations 0
Exercises and reports.
If delivered in semester 1, this course will have an option for semester 1 only visiting undergraduate students, providing assessment prior to the end of the calendar year.
* History of the Semantic Web and Multi-agent systems
* Theory of knowledge sharing
* Semantic Web and Multi-agent systems
* Theory: ontology specification, service specification and coordination specification
* Practice: using languages for service metadata and service description
* Reasoning with ontologies for the Semantic Web
* Service composition
* Service brokering
* Building example ontologies for agent communication
* Building Semantic Web sites
* Coordinating complex services
Relevant QAA Computing Curriculum Sections: Artificial Intelligence, Intelligent Information Systems Technologies
||* 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
Timetabled Laboratories 0
Non-timetabled assessed assignments 30
Private Study/Other 50
|Course organiser||Dr Mary Cryan
Tel: (0131 6)50 5153
|Course secretary||Miss Kate Farrow
Tel: (0131 6)50 2706
© Copyright 2013 The University of Edinburgh - 13 January 2014 4:28 am