Download INT3029

THE HONG KONG INSTITUTE OF EDUCATION
Course Outline
Part I
Programme Title
:
Course Title
Course Code
Department
Credit Points
:
:
:
:
Bachelor of Science Education (Honours) (Science and
Web Technology)
Web Intelligence
INT3029
Mathematics and Information Technology
3
Contact Hours
Pre-requisite(s)
:
:
39
Introduction to Web Technologies and Standards
Medium of Instruction :
English
Level
:
3
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Part II
Synopsis
Web Intelligence (WI) is referred to the combination and application of artificial
intelligence and advanced information technology on the Web and Internet. This
course provides an intensive focus on the concepts and techniques of WI
underpinning the design and implementation of Web-based intelligent systems.
Specifically, students will be introduced to the fundamental principles and
methodologies of WI regarding intelligent web agents, web mining, web information
retrieval, web knowledge management as well as social network intelligence.
Course Intended Learning Outcomes (CILOs)
Upon successful completion of this course, students should be able to:
CILO1: acquire the fundamental concepts of Web Intelligence (WI)
CILO2: recognize the importance of Web Intelligence in making intelligent
decisions
CILO3: understand how to process and manage the Web content in a semantic way
CILO4: appreciate the impact of social network on the effectiveness of information
search and mining on the Web
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Content, CILOs and Teaching & Learning Activities
Course Content
CILOs
Suggested Teaching &
Learning Activities
Lectures
and
class
exercises
Overview of Web Intelligence
 Capabilities of the Wisdom Web
 WI-Related Topics
CILO1,2,3
Web Agents
 Introduction to agent-based computing
 Agent Interactions and Methodologies
CILO1,2,3
Lectures, demonstrations,
and class exercises
Web Mining
 Classification,
Association
and
Clustering Techniques for Web Mining
 Web Structure, Usage and Content
Mining
CILO1,2,3
Lectures, demonstrations,
and class exercises
Web Information Retrieval
 Basic Text Processing
 Measure, Indexing, Filtering
Retrieval
 Link Analysis by Ranking
 Web Spiders and Crawlers
CILO1,2,3
Lectures, demonstrations,
and class exercises
CILO2,3,4
Lectures, demonstrations,
and class exercises
and
Web Knowledge Management
 Knowledge Representation, Search and
Extraction on the Web
 Semantic Web-Enabled Knowledge
Management
Social Network Intelligence
CILO1,2,3,4 Lectures, demonstrations,
and class exercises
 Trust and Reputation Management in
Web-based Social Network
 Social Intelligence Design on the Web
Assessment
Assessment Tasks
Weighting (%)
CILO
a. Written Examination
Questions will cover the theoretical knowledge
of the course.
40%
CILO1,2,3,4
b. Individual Assignments
Continuous assignments on the key topics of
the course.
60%
CILO1,2,3,4
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Required Text(s)
Nil
Recommended Readings
Badr, Y., Chbeir, R., Abraham, A., & Hassanien, A.-E. (2010). Emergent Web
Intelligence: Advanced Semantic Technologies. Springer.
Baldi, P., Frasconi,P., & Smyth, P. (2003). Modeling the Internet and the Web:
Probabilistic Methods and Algorithms. Wiley.
Carrington, P. J., Scott, J., & Wasserman, S. (2005). Models and Methods in Social
Network Analysis. Cambridge University Press.
Chakrabarti, S. (2002). Mining the Web: Discovering Knowledge from Hypertext Data.
Morgan Kaufmann.
Konchady, M. (2006). Text Mining Application Programming. Charles River Media.
Last, M., Szczepaniak, P. S., Volkovich, Z., & Kandel, A. (2010). Advances in Web
Intelligence and Data Mining. Springer.
Liu, B. (2007). Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data.
Springer.
Marmanis, H., & Babenko, D. (2009). Algorithms of the Intelligent Web. Manning
Publications.
Meghabghab, G., & Kandel, A. (2010). Search Engines, Link Analysis, and User’s
Web Behavior: A Unifying Web Mining Approach. Springer.
Segaran, T. (2007). Programming Collective Intelligence: Building Smart Web 2.0
Applications. O’Reilly Media.
Wooldridge, M. (2009). An Introduction to MultiAgent System. 2nd Edition. Wiley.
Zhang, Y.-Q., Kandel, A., Lin, T. Y., & Yao, Y. Y. (2004). Computational Web
Intelligence: Intelligent Technology for Web Applications. World Scientific
Publishing Company.
Zhong, N., Liu, J., & Yao, Y. (2010). Web Intelligence. Springer.
Related Web Resources
Google Analytics
http://www.google.com/analytics/
Google Scholar
http://scholar.google.com
NetDraw – Visualizing Social Network Data
http://www.analytictech.com/downloadnd.htm
Web Intelligence Consortium
http://wi-consortium.org/
Weka – Data Mining Software
http://www.cs.waikato.ac.nz/~ml/weka/
Related Journals
Applied Artificial Intelligence
International Journal of Artificial Intelligence & Applications
Journal of Emerging Technologies in Web Intelligence
Web Intelligence and Agent Systems: An International Journal
Other
Nil
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