Undergraduate Course: Semantic Web Systems (INFR11104)
|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
|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.
*History of the Semantic Web
*Theory of knowledge sharing
*Theory: ontology specication, service specication and coordination
*Practice: using languages for service metadata and service description
*Reasoning with ontologies for the Semantic Web
*Building example ontologies
*Building Semantic Web sites
Relevant QAA Computing Curriculum Sections: Articial Intelligence, In-
telligent Information Systems Technologies
Entry Requirements (not applicable to Visiting Students)
||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
Course Delivery Information
|Academic year 2014/15, Available to all students (SV1)
|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
|Assessment (Further Info)
|Additional Information (Assessment)
||Written Exam 70 %, Coursework 30 %, Practical Exam 0 %
||Hours & Minutes
|Main Exam Diet S2 (April/May)||Semantic Web Systems||2:00|
| 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.
|*Dean Allemang and Jim Hendler, Semantic Web for the Working Ontologist (2nd edition), Morgan|
*Tom Heath and Christian Bizer, Linked Data: Evolving the Web into a Global Data Space, Morgan
& Claypool 2011
|Course organiser||Dr Mary Cryan
Tel: (0131 6)50 5153
|Course secretary||Miss Claire Edminson
Tel: (0131 6)51 4164
© Copyright 2014 The University of Edinburgh - 12 January 2015 4:12 am