Design, Concepts and Methodology for Knowledge-based Intelligent Systems (Capstone Project)

This course is to familiarize the knowledge engineering students with the current theories, tools and techniques with the ability to carry out their basic knowledge with a view to developing appropriate strategies and to come up with creative ideas, and for preparing them for their further studies. This course includes two parts: implementing of specific systems on their basic theories as a group projects and writing a proposal. Their implementation infrastructure is dependent on theories of Knowledge Engineering & Artificial Intelligence, Internet of Things, computational linguistics, Web Ontology Language and virtual reality. In writing a proposal, the basic guidelines and a paper template are provided. Based on each student’s interest, a degree term paper must be submitted in a specific time.

The aims of this course are:

• To explain the concept, technology and technique underlying and marking up the Semantic Web.
• To discuss the knowledge management tools for organizations.
• To give the experience in the implementation of infrastructure by team work.
• To introduce how to write team paper during undergraduate student life.

Upon the successful completion of this course, students should be able to:

• design and implement the knowledge driven intelligent systems.
• get the project management and knowledge management skills.
• have communication and coordination skills to complete the teamwork.
• write a proposal or degree term paper.

Textbooks:

1. A Semantic Web Primer, Second Edition
2. Contemporary Linguistics: an Introduction (2017), 7^th edition, William O’Grady, John Archibald, Mark Aronoff, and Janie Rees Miller.
3. Knowledge Engineering, 2015 by By Thomas B. Cross
4. Papers from Internet