Course

PROFESSIONAL ELECTIVES

Electives Electives in Artificial Intelligence

Unit I

The World Wide Web – Limitations of Today’s Web – The Next Generation Web – Semantic Web – Layers –Semantic Web technologies – Semantics in Semantic Web – XML: Basics – Well-formed and valid Documents – Namespaces – XML schema – Addressing – Querying – Document Object Model (DOM) – XML Applications – XML limitations.

Unit II

RDF Basic Ideas – RDF Specification – RDF Syntax: XML and Non- XML – RDF elements – RDF relationship: Reification, Container, and collaboration – RDF Schema – Editing, Parsing, and Browsing RDF/XML – Discovering Information – Querying (RQL, SPARQL) – Web Ontology Language (OWL) – Classes, Instances and Properties in OWL – Complex Classes – Property Restrictions – Role Inclusion.

Unit III

Ontology – Ontology Types – Logic – Description Logics – Rules – Inference and Reasoning – Ontology Engineering: Introduction – Constructing ontologies – Tools used in building and storing ontologies (Sesame, Jena, Protégé, NeOn) – Reusing ontologies – ontology reasoning. The web of data – Data on the web – shallow and deep web – Linked open data – linked data principles – Linked data design – Publishing linked data – Consuming and aggregating linked data.

Course Objectives

• Semantic Web course, an exploration of the evolution of the web towards a more semantic, data-driven ecosystem.
• This course will introduce you to the core concepts and technologies that make web content understandable to machines.
• We’ll dive into the details of Resource Description Framework (RDF), Web Ontology Language (OWL), and SPARQL, along with Linked Data principles and Knowledge Graphs.
• Practical examples and exercises will provide you with a robust understanding of the Semantic Web, equipping you with the skills needed to integrate these technologies into your projects and contribute to a more intuitive, intelligent web.

Course Outcomes

CO1: Understand and discuss fundamental concepts, advantages and limits of the semantic web.

CO2: Understand and use ontologies in the context of Computer Science and the semantic web.

CO3: Understand the relationship between Semantic Web and Web 2.0.

CO4: Apply the RDF framework for Semantic Web.

CO5: Understand the concepts of metadata, semantics of knowledge and resource, ontology, and their descriptions

in XML-based syntax and web ontology language (OWL).

CO-PO Mapping

Evaluation Pattern: 70:30

*CAT – Can be Quizzes, Assignments, and Reports

*CAL – Can be Lab Assessments, Project, and Report

**End Semester can be theory examination/ lab-based examination/ project presentation

Textbook(s)

Paul Groth, Frank van Harmelen, Rinke Hoekstra. “A Semantic Web Primer”, Third Edition, MIT press; 2012.

Reference(s)

Keet, C. Maria. “An Introduction to Ontology Engineering”. University of Cape Town, 2018.

Yu, Liyang. “A developer’s guide to the semantic Web.” Second Edition, Springer Science & Business Media, 2014.

John Davies, Rudi Studer, Paul Warren. “Semantic Web Technologies: Trends and Research in Ontology-based Systems”, Wiley & Sons; 2012.

Domingue, John, and Dieter Fensel. “Handbook of semantic web technologies”. Ed. James A. Hendler. Vol. 1. Berlin: Springer, 2011.

Gómez-Pérez, A. Fernández-López, M. Corcho, O. “Ontological Engineering”. Springer Verlag; 2003.

Michael C. Daconta, Leo J. Obrst, Kevin T. Smith. “The Semantic Web: A Guide to the Future of XML, Web Services, and Knowledge Management”, Fourth Edition, Willey Publishing; 2003.