CoE-AI, IIT Kharagpur
Knowledge Modelling and Semantic Web Technologies (AI60008)
Spring,2022-23

Knowledge Modelling and Semantic Web Technologies (AI60008) / Spring,2022-23


Course Description

Knowledge modelling is a process of formalizing the knowledge of a domain through formal knowledge representation frameworks. Among many other knowledge driven systems, knowledge modelling through ontology has helped in embedding semantics to current hypertext-based web and several real-world applications from diverse domains. The semantic web vision has shown enormous promise to revolutionize current World Wide Web dramatically. This vision rides on the idea of embedding semantics of web data so that the contents become amenable to machine processing. Driving technologies in semantic web vision include explicit metadata, ontologies, formal logic, inferencing and intelligent agents. Huge potential and advantages of semantic web have sparked significant interest in industry and government. This course aims at developing foundations in semantic web technology addressing web scale semantic knowledge modelling techniques and related programming paradigms and application case studies.

Course Logistics

  • Lecture Hours: Wednesday [12:00-12:55 PM] Thursday [11:00-11:55 AM] and Friday [09:00-09:55 AM].
  • Classroom: Classes will happen in person in the room no NC443.
  • L-T-P & Credits: 3-0-0 & 3 Credits.

Mid-Semester Exam Schedule

  • Exam Date:
  • Time Slot:
  • Venue:

End-Semester Exam Schedule

  • Exam Date:
  • Time Slot:
  • Venue:

Grading Policy

  • Semester Examinations:
    • Mid-Semester Examination: [30%]
    • End-Semester Examination: [40%]
  • Assignment+Surprize Quiz+Project: [30% (10+5+15)]

Prerequisites

  • Programming and Data Structure

Honor Code

Academic integrity is very important for us. You are required to follow the honor code to maintain academic integrity.

  • Your solutions against assignments, tests must be entirely your own (Exception: You may collaborate if instructed by the faculty).
  • You may not share your solutions for the scheduled assignments and tests with your peers unless instructed by the faculty.

Instructor

Plaban Kumar Bhowmick

Teaching Assistants

Km Poonam

poonam.mt16@gmail.com

Shubhankar Maity

gate2018.subhankar@gmail.com