Jarrar: Knowledge Engineering- Course Outline

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Lecture video by Mustafa Jarrar at Birzeit University, Palestine.
See the course webpage at: http://jarrar-courses.blogspot.com/2011/09/knowledgeengineering-fall2011.html
and http://www.jarrar.info

and on Youtube:
http://www.youtube.com/watch?v=3_-HGnI6AZ0&list=PLDEA50C29F3D28257

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Jarrar: Knowledge Engineering- Course Outline

  1. 1. Jarrar © 2011 1 Introduction & Outline Lecture Notes on Knowledge Engineering Birzeit University 2011 Dr. Mustafa Jarrar University of Birzeit mjarrar@birzeit.edu www.jarrar.info Knowledge Engineering (SCOM7348)
  2. 2. Jarrar © 2011 2 Course Outline Part I: Conceptual Data Modeling 13 Part II: Ontology Engineering 24 Part III: Application Scenarios and Project 10 The course is divided into three parts:
  3. 3. Jarrar © 2011 3 Course Outline Part I: Conceptual Data Modeling Reading: Information Modeling and Relational Databases: From Conceptual Analysis to Logical Design, Terry Halpin (ISBN 1-55860-672-6) Reading Hours Introduction 1 Concepts & Principles of Conceptual Data Modeling ch.1-2 1 Conceptual Schema Design Steps (ch.3) 1 Project1 (3%) Discussion 1 Uniqueness Constraints (ch.4) 1 Mandatory Constraints (ch.5) 1 Project2 (3%) Other Constrains (ch.6&ch.7) 1.5 Final Check and Schema Engineering Issues (ch.7&ch.12&articles 1.5 Project 3 (4%) Discussion 3 First Exam (10%) -- 6/10/2011 1 Total 13
  4. 4. Jarrar © 2011 4 Course Outline Part II: Ontology Engineering Reading: Selected Papers + Lecture Notes 24 Introduction to Description Logics and Reasoning Articles [1, 2] 2 RDF and RDFS Article [3] 4.5 Ontology Web Language (OWL) Article [4] 3 Project 4 (5%) 1.5 What is an ontology and Lexical Semantics Article [5,6] 4.5 Ontology Engineering Methodologies Lecture Notes 4.5 Project 5 (5%) 3 Second Exam (10%) -- 8/12/2011 1 [1] D. Nardi, R. J. Brachman. An Introduction to Description Logics. In the Description Logic Handbook, edited by F. Baader, D. Calvanese, D.L. McGuinness, D. Nardi, P.F. Patel-Schneider, Cambridge University Press, 2002, pages 5-44. [2] Mustafa Jarrar: Mapping ORM into the SHOIN/OWL Description Logic- Towards a Methodological and Expressive Graphical Notation for Ontology Engineering. In Volume 4805, LNCS, Pages (729-741), Springer. ISBN: 9783540768890. [3]RDF Primer: RDF/XML Syntax Specification. W3C Recommendation 10 February 2004. http://www.w3.org/TR/rdf-syntax-grammar/ [4] OWL Web Ontology Language Guide. W3C Recommendation 10 February 2004 http://www.w3.org/TR/2004/REC-owl-guide- 20040210/#BasicDefinitions [5] Chapter 2 and 3 in Jarrar, M.: Towards Methodological Principles for Ontology Engineering. PhD thesis, Vrije Universiteit Brussel (2005). [6] Mustafa Jarrar: Towards the notion of gloss, and the adoption of linguistic resources in formal ontology engineering. In proceedings of the 15th International World Wide Web Conference (WWW2006). ACM Press. May 2006.
  5. 5. Jarrar © 2011 5 Course Outline Part III: Application Scenarios and Final Project Reading: External Papers 10 Seminar and Discussion Panel on selected applications: (5%) Application 1: Ontology based Data Integration 1 Application 2: Ontology Enhanced Search and Retrieval 1 Application 3: Semantic Web and RDFa and LinkedData 1 Application 4: Ontology-based e-governments 1 Application 5: Ontologies in Bioinformatics 1 Application 6: XXXX 1 Final Project 6 (20%) 3 Final Exam (35%) 2
  6. 6. Jarrar © 2011 6 Course Rules • Attendance. Attendance is mandatory. University regulations regarding this matter will be strictly enforced. • Academic Honesty: Individual work must be each student’s own work. Plagiarism or cheating will result in official University disciplinary review. • Missed Exams: There are no makeup exams, and project deadlines are very hard. • Etiquette: Cell phones must be turned off. Don’t come late. If you must go out during the lecture don’t let us notice. • Ritaj: We only communicate through Ritaj. I assume you check it several times a day.
  7. 7. Jarrar © 2011 7 Good and bad stories last year • Most students told me that they under-estimated the huge amount of efforts required in this course, many project and skills to learn! • The course assumes knowledge about database systems, XML, and HTML; if not, you should learn it yourself quickly. • Some students told me that I assume a high motivation and huger to learn know technologies otherwise difficult to pass the course. • Some students wrote scientific articles in international conferences during the previous courses. • Almost half of the students expressed their interest to conduct their thesis on this topic (Rami, Rana, Hanya, Hiba, Yahya, Mohammad, and others). • Most students told me that the relations among them was strengthen after this course. Well, this is because they had to work too days and nights on projects! We all work as a family and help each other. • The final average of the class was 83%.  I promise you to: learn modern technologies, enjoy every minute, private teaching, and get high mark; but promise be very hard work.
  8. 8. Jarrar © 2011 8 Motivating Discussion • What is Knowledge? Data? • What is Modeling? • What is Conceptual Modeling? • What is Conceptual Data Modeling? • What is Ontology?

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