Introduction to Semantic Web

• Course Information
• Announcements
• Instructional Staff
• Textbooks
• Grading
• Homework
• Policies
• Exam Schedule
• Syllabus

Course Information

When: Monday 4:10-6:00P
Where: Mudd 337

The Semantic Web is an evolution of the current WWW and aims to establish meaning to data such that it can be shared, automatically reasoned with, and reused via machine-readable applications. It is a collaborative effort led by the World Wide Web Consortium, with participation from a large number of researchers and industrial partners. This course will give an introduction to Semantic Web technologies and their applications. The crux of the Semantic Web is in semantic representation and reasoning of data using ontologies. Thus, we will delve into different aspects of Ontology representation, creation, design, reasoning, programming and applications throughout the course. Topics covered are the following:

Semantic Web Vision
Ontology Languages: RDF, RDFS, OWL
Ontology Design and Management using the Protege editor
Ontology Reasoning with Pellet
Ontology Querying with SPARQL
Ontology Programming with the Jena API
Current Applications of the Semantic Web

Announcements

Instructional Staff

Instructor: Dr. Knarig Arabshian
Email: knarig.arabshian@hofstra.edu
Office hours: TBD Office Number: Adams 115

Textbooks

• Foundations of Semantic Web Technologies (Required)
• Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL (Recommended)
• Semantic Web Programming (Recommended)
• Semantic Web Primer (Recommended)

Grading

• Attendance 5%
• 2 Quizzes 10%
• Homework 40%
• Midterm 20%
• Final 25%

Homework

Policies

• Cheating and plagiarism: will not be tolerated in any capacity. All work in this class is to be done on your own unless otherwise specified. Please read Hofstra University's policy on academic integrity for more details. department policy on academic honesty for more details.
• Email: is the best way to contact me. Make sure you put [semweb] in the subject heading so I will notice your email.
• Feedback: Send me feedback (positive or negative) on the course at any point in time and I will consider your input.

Exam Schedule:

Syllabus