CS 9072 SEMANTIC WEB
R2008 Anna University syllabus and question papers
ANNA UNIVERSITY :: CHENNAI 600 025
REGULATIONS 2008
CURRICULUM FOR B.E. COMPUTER SCIENCE AND ENGINEERING
Anna University Chennai B.E .Computer Science and Engineering Semester IV Regulations 2008 Syllabus
AIM:
The aim of this course is to understand the fundamentals of ontologies and the role of ontologies in the web. The course also outlines the issues and languages of semantic
web.
OBJECTIVES:
ANNA UNIVERSITY :: CHENNAI 600 025
REGULATIONS 2008
CURRICULUM FOR B.E. COMPUTER SCIENCE AND ENGINEERING
Anna University Chennai B.E .Computer Science and Engineering Semester IV Regulations 2008 Syllabus
AIM:
The aim of this course is to understand the fundamentals of ontologies and the role of ontologies in the web. The course also outlines the issues and languages of semantic
web.
OBJECTIVES:
- To understand the fundamentals of ontologies. To know about the Semantic Web and the different languages used in the context of
- semantic web.
- To learn the methodologies used for ontology learning for semantic web.
- To know about ontology management and tools used for Ontology annotation.
- To comprehend the role of semantics in web services and to discuss some of the
- security issues.
UNIT I INTRODUCTION 9
Components – Types – Ontological Commitments – Ontological Categories – Philosophical Background - Knowledge Representation Ontologies – Top Level
Ontologies – Linguistic Ontologies – Domain Ontologies – Semantic Web – Need – Foundation – Layers – Architecture.
UNIT II LANGUAGES FOR SEMANTIC WEB AND ONTOLOGIES 10
Web Documents in XML – RDF - Schema – Web Resource Description using RDF- RDF Properties – Topic Maps and RDF – Overview – Syntax Structure – Semantics –
Pragmatics - Traditional Ontology Languages – LOOM- OKBC – OCML - Flogic Ontology Markup Languages – SHOE – OIL - DAML + OIL- OWL
,
UNIT III ONTOLOGY LEARNING FOR SEMANTIC WEB 10
Taxonomy for Ontology Learning – Layered Approach – Phases of Ontology Learning – Importing and Processing Ontologies and Documents – Ontology Learning Algorithms -
Evaluation
UNIT IV ONTOLOGY MANAGEMENT AND TOOLS 9
Overview – need for management – development process – target ontology – ontology mapping – skills management system – ontological class – constraints – issues.
Evolution – Development of Tools and Tool Suites – Ontology Merge Tools – Ontology based Annotation Tools.
UNIT V APPLICATIONS 7
Web Services – Semantic Web Services - Case Study for specific domain – Security issues – current trends.
TOTAL: 45 PERIODS
TEXT BOOKS:
1. Asuncion Gomez-Perez, Oscar Corcho, Mariano Fernandez-Lopez, “Ontological Engineering: with examples from the areas of Knowledge Management, e-
Commerce and the Semantic Web” Springer, 2004
2. Grigoris Antoniou, Frank van Harmelen, “A Semantic Web Primer (Cooperative Information Systems)”, The MIT Press, 2004
REFERENCES:
1. Alexander Maedche, “Ontology Learning for the Semantic Web”, Springer; 1 edition, 2002
2. John Davies, Dieter Fensel, Frank Van Harmelen, “Towards the Semantic Web: Ontology – Driven Knowledge Management”, John Wiley & Sons Ltd., 2003.
3. Dieter Fensel (Editor), Wolfgang Wahlster, Henry Lieberman, James Hendler, “Spinning the Semantic Web: Bringing the World Wide Web to Its Full Potential”, The
MIT Press, 2002
4. Michael C. Daconta, Leo J. Obrst, Kevin T. Smith, “The Semantic Web: A Guide to the Future of XML, Web Services, and Knowledge Management”, Wiley, 2003
5. Steffen Staab (Editor), Rudi Studer, “Handbook on Ontologies (International Handbooks on Information Systems)”, Springer 1st edition, 2004
0 comments :
Post a Comment