George Mason University
School of Engineering
Department of Computer Science
CS 695 Knowledge Engineering for the Semantic Web
Meeting time: Monday 4:30 pm – 7:10 pm
Meeting location: East 201
Instructor:
Dr.
Gheorghe Tecuci, Professor of Computer Science,
Director of the Learning Agents Center
Office hours: Monday and Thursday 7:15 pm – 8:15 pm
Office: Nguyen Engineering
Building, Learning Agents Center, Room 4613
Phone: 703 993
1722
E-mail: tecuci at gmu dot edu
Course Description
Prerequisite:
CS 580 or permission of instructor
“The basic economic resource – the means of production – is
no longer capital, not natural resources, nor labor. It is and will be
knowledge.” (Peter Drucker, 1993).
Human societies are rapidly evolving toward an integrated global Knowledge Society.
Knowledge Engineering is a central discipline in the
Knowledge Society. It is the discipline concerned with the design, development,
and maintenance of computer systems that rely on knowledge and reasoning to
perform complex problem solving and decision making tasks, thus providing the
technology for the main activities in the Knowledge Society: capturing, using,
sharing, teaching, and preserving knowledge.
The Semantic Web is the main infrastructure for the
Knowledge Society. It is an extension of the World Wide Web in which web
content is expressed both in a natural form for humans, and in a format that
can be understood by software agents, permitting them to find, integrate,
process, and share information.
This course covers basic concepts, principles, methods, architectures,
and tools for the Semantic Web, including the publication and the consumption
of Linked Data for both human and automatic processing, the development of semantic
web models in RDF, RDFS, and OWL, web information as evidence, and web-based
applications.
The course will also cover important knowledge engineering
topics in an integrated fashion, including, knowledge-based reasoning, logic
and probabilistic reasoning, knowledge acquisition and learning,
decision-making under uncertainty, tools and methodologies for the development
of knowledge-based systems, and frontier research in knowledge engineering.
Each student will select a project based on his/her
interests. Some projects may develop a knowledge-based system while other
projects may study a specific topic in depth, followed by its presentation and demonstration
of a related system.
Students will have accounts on Blackboard and can download
the lecture notes by going to courses.gmu.edu and logging in using their Mason
ID and passwords.
Grading Policy
Exam – 50%
Project, assignments, and class participation – 50%
Required Readings
Tecuci G., Lecture
Notes on Knowledge Engineering for the Semantic Web, Spring
2012 (main reading).
Heath T. and Bizer C., Linked Data: Evolving the Web into a Global Data
Space, Morgan & Claypool Publishers, 2011, Electronic resource
available from the GMU library at http://magik.gmu.edu/cgi-bin/Pwebrecon.cgi?BBID=2274472
Allemang
D. and Hendler J., Semantic Web for the Working Ontologist: Modeling
in RDF, RDFS and OWL, Morgan Kaufman, 2008, 2011, Electronic resource
available from the GMU library at http://magik.gmu.edu/cgi-bin/Pwebrecon.cgi?BBID=1964229
Recommended Readings
Antoniou G. and Harmelen, van F., A Semantic Web Primer, The MIT Press,
Cambridge Massachusetts, 2004, 2008, Electronic
resource available from the GMU library at http://magik.gmu.edu/cgi-bin/Pwebrecon.cgi?BBID=1312290
Awad E. and Ghaziri M. H., Knowledge
Management, Pearson Education Inc., Upper Saddle River, New Jersey, 2004.
Breitman K.K., Casanova M.A. and Truszkowski
W., Semantic Web: Concepts, Technologies and
Applications, Springer-Verlag London Limited 2007,
Electronic resource available from
the GMU library at http://magik.gmu.edu/cgi-bin/Pwebrecon.cgi?BBID=1977934
Brachman R.J. and Levesque H.J, Knowledge
Representation and Reasoning, Morgan Kaufmann, 2004.
Ehrig M., Ontology
Alignment: Bridging the Semantic Gap, Springer Verlag,
2007.
Euzenat J. Shvaiko P., Ontology Matching, Springer Verlag, 2007.
Giarratano J. and Riley G. Expert Systems: Principles and
Programming, Boston, PWS Publ. Comp., 1994.
Hadzic M., Wongthongtham P.,
Dillon T., Chang E., Ontology-based
Multi-Agent Systems, Springer Verlag, 2009.
Hopgood A.A., Intelligent
Systems for Engineers and Scientists, CRC Press, 2001.
Kendal S.L. and Creen M., An Introduction to Knowledge Engineering, Springer-Verlag London Limited 2007, Electronic
resource available from the GMU library at http://magik.gmu.edu/cgi-bin/Pwebrecon.cgi?BBID=1978188
Russell S., and P. Norvig P., Artificial Intelligence: A Modern Approach,
Prentice Hall, Third edition (ISBN-13: 978-0-13-604259-4, 2010), Second edition
(ISBN: 0-13-790395-2, 2003).
Schreiber G., Akkermans H., Anjewierden
A., de Hoog R., Shatbold
N., de Velse W.V., Wielinga
B., Knowledge Engineering and Management:
The CommonKADS Methodology, The MIT Press,
Cambridge Massachusetts, 2000.
Tecuci G., Building
Intelligent Agents: An Apprenticeship Multistrategy
Learning Theory, Methodology, Tool and Case Studies, Academic Press, 1998.
Tecuci G, Schum D, Boicu M, Marcu D, Introduction
to Intelligence Analysis: A Hands-on Approach with TIACRITIS, Learning
Agents Center, 2011.
Volker J., Learning Expressive
Ontologies, IOS Press, 2009.
Walton C., Agency and the Semantic
Web, Oxford University Press, 2007.
Other books and papers recommended by the
instructor.
Email
Communication
1. Please include CS695 in the subject of any message you are emailing to
Dr. Tecuci.
2. Please try to limit the size of the files you are emailing.
GMU Email
Accounts
Students must activate their GMU email accounts to receive important
University information, including messages related to this class.
Office of
Disability Services
If you are a student with a disability and you need academic
accommodations, please see me and contact the Office of Disability Services
(ODS) at 993-2474. All academic accommodations must be arranged through the
ODS. http://ods.gmu.edu.
Other Useful
Campus Resources
Writing Center: A114 Robinson Hall; (703) 993-1200; http://writingcenter.gmu.edu
University Libraries “Ask a Librarian” http://library.gmu.edu/mudge/IM/IMRef.html
Counseling and Psychological Services (CAPS): (703) 993-2380; http://caps.gmu.edu
University
Policies
The University Catalog, http://catalog.gmu.edu, is the
central resource for university policies affecting student, faculty, and staff
conduct in university affairs.
Honor Code
You are expected
to abide by the GMU honor code. Information on the university honor code can be
found at http://academicintegrity.gmu.edu/honorcode/.
Additional departmental CS information: http://cs.gmu.edu/wiki/pmwiki.php/HonorCode/CSHonorCodePolicies