SEMANTIC WEB

Course Information

TitleΣΗΜΑΣΙΟΛΟΓΙΚΟΣ ΙΣΤΟΣ / SEMANTIC WEB
CodeIS19
FacultySciences
SchoolInformatics
Cycle / Level2nd / Postgraduate
Teaching PeriodWinter
CoordinatorNick Bassiliades
CommonNo
StatusActive
Course ID40002312

Programme of Study: PPS School of Informatics (2014-today)

Registered students: 0
OrientationAttendance TypeSemesterYearECTS
TECΗNOLOGIES GNŌSĪS DEDOMENŌN KAI LOGISMIKOUElective Courses belonging to the selected specialization117.5
TECΗNOLOGIES PLĪROFORIAS KAI EPIKOINŌNIŌN STĪN EKPAIDEUSĪElective Courses117.5
PSĪFIAKA MESA- YPOLOGISTIKĪ NOĪMOSYNĪElective Courses117.5
DIKTYAKA SYSTĪMATAElective Courses117.5

Programme of Study: PPS of School of Informatics (2013-today)

Registered students: 0
OrientationAttendance TypeSemesterYearECTS
Information SystemsCompulsory117.5
Information And Communication Technologies In EducationElective Courses117.5
Digital MediaElective Courses117.5
Communication Systems and TechnologiesElective Courses117.5

Class Information

Academic Year2011 – 2012
Class PeriodWinter
Faculty Instructors
Class ID
40043511
Type of the Course
  • Scientific Area
  • Skills Development
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Basic knowledge of Web technologies, Basic knowledge of knowledge representation methods.
Learning Outcomes
Knowledge: Familiarization with principles and technologies for representing and reasoning about data, metadata, and knowledge in the Semantic Web, Familiarization with Ontology Engineering techniques, Training on Altova XML SPY and Protégé Ontology Editor. Skills: Developing metadata vocabularies and ontologies, Representation of data, metadata, knowledge and ontologies using the following languages: XML, DTD, XML Schema, XSLT, XPATH, RDF, RDF Schema, OWL and SWRL.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Make decisions
  • Work autonomously
  • Work in teams
  • Generate new research ideas
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Introduction and General vision of the Semantic Web (SW). SW Architecture. Technologies and Languages of the SW. XML (Description, DTD, XML Schema, Namespaces, XPath, XSLT, XML tools). RDF (Description, XML syntax, RDF Schema, RDF/RDFS Semantics, Querying RDF/RDFS with RQL, RDF tools). OWL (Introduction to ontologies and OWL, Description and syntax, OWL flavors, Examples, OWL in OWL, Future extensions, OWL tools). Ontology Engineering (Ontology creation, Reusing ontologies, Semi - automatic methods). SW Applications. Logic and Inferencing.
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
Description
Powerpoint slides, Demonstration of Semantic Web technologies software
Course Organization
ActivitiesWorkloadTotal hours of student effort for the semester. Includes lectures, labs, field etc.ECTSThe credit units (ECTS) of the respective teaching activity. Each unit correponds to 30 hours of student workload.IndividualFor the learning activity cooperation between students is not requisiteTeamworkFor the learning activity the students cooperate in teamsErasmusThe learning activity is available to students of exchange programmes
Lectures30.1
Total30.1
Student Assessment
Description
Written exams (50%), Modeling, Programming and Bibliographic Projects (50%)
Student Assessment methods
  • Written Exam with Short Answer Questions (SummativeSummative assessment refers to the assessment of the learning and summarizes the development of learners at a particular time.)
  • Written Exam with Extended Answer Questions (SummativeSummative assessment refers to the assessment of the learning and summarizes the development of learners at a particular time.)
  • Written Assignment (FormativeFormative assessment is a range of formal and informal assessment procedures employed by teachers during the learning process in order to modify teaching and learning activities to improve student attainment., SummativeSummative assessment refers to the assessment of the learning and summarizes the development of learners at a particular time.)
Bibliography
Course Bibliography (Eudoxus)
"A Semantic Web Primer", 2nd Edition, Grigoris Antoniou and Frank van Harmelen, MIT Press, 2008, ISBN 978-0-262-01242-3.
Additional bibliography for study
- S. Staab, R. Studer, eds., "Handbook on Ontologies", Springer-Verlag, 2004. - A. Gomez-Perez, O. Corcho, M. Fernandez-Lopez, "Ontological Engineering: with examples from the areas of Knowledge Management, e-Commerce and the Semantic Web", Springer-Verlag, 2004. - D. Fensel, J. Hendler, H. Lieberman and W. Wahlster, eds. "Spinning the Semantic Web". Cambridge, MA: MIT Press, 2003. - Ιστότοπος W3C:http://www.w3.org/
Last Update
Winter period 2011