Web Content Management

1
Web Content Management

• Vagan Terziyan
• Department of Mathematical Information
  Technology, University of Jyvaskyla /
• / Department of Artificial Intelligence, Kharkov
  National University of Radioelectronics
• vagan_at_it.jyu.fi / terziyan_at_yahoo.com
• http//www.cs.jyu.fi/ai/vagan
• 358 14 260-2347

2
Practical Information

• Credits I Part - 2 II Part - 2, III Part - 2
• Lectures (contact hours) 4812 hours I Part -
  20 hours II Part - 20 hours, III Part - 20 hours
• Fridays 25 January - 12 April, 815-1200
  (breaks 900-915, 1000-1015, 1100-1115)
• Aud. Verkkokatu 5, Network Street 5
• Exercises 3 special assignments (1 for every
  part of the course)
• ? Will be announced during the lectures
• Exam Friday, 815. 3 attempts April 19-th,
  26-th, May 3-th
• ? 1 written exam for the whole course

3
Structure of the Whole Course
Mobile agents
Agent technologies
Mobile and distributed computing
Distributed AI
Semantic Web and ontologies
Data mining
Knowledge discovery
Markup Techniques
Web Content Management
Knowledge Management
Machine Learning
Classification
Knowledge metamodeling
Beliefs management
Electronic Commerce
Intelligent Information Integration
Personalization
Content management
Profiling
E-services
Profile / Location management
Transaction management
Mobile Commerce
Filtering
4
Web Content Management I Course Structure
Mobile agents
Distributed AI
Data mining
Knowledge Management (basics)
Web Content Management I
Machine Learning
Electronic Commerce
Personalization
Content management
Profiling
Profile management
Filtering
5
Web Content Management ICourse Content

• Introduction to Web content marketing and
  management.
• Static and dynamic Web pages.
• Profiling Internet users.
• Web content personalization.
• Filtering Web content.
• Introduction to Distributed Artificial
  Intelligence (mobile agents).
• Managing Web content for electronic commerce.
• Introduction to data mining.
• Basics of knowledge management.

6
Web Content Management I
Lectures
2002 25 01 Web Content Management
Overview 2002 25 01 Web Content
Personalization Overview 2002 01 02 Overview
of Filtering Techniques for Personalization 2002
01 02 Similarity Evaluation Techniques for
Filtering 2002 08 02 Overview of Intelligent
Agents 2002 08 02 Data Mining Overview 2002
15 02 Knowledge Management Overview 2002 15
02 E-Commerce Overview
7
Web Content Management IICourse Structure
Semantic Web and ontologies
Knowledge discovery
Markup Techniques
Web Content Management II
Knowledge Management
Machine Learning
Classification
Beliefs management
Intelligent Information Integration
8
Web Content Management IICourse Content

• Introduction to Machine Learning methods.
• Data mining methods and tools.
• Classification techniques.
• Introduction to probabilistic networks.
• Introduction to markup languages and techniques.
• Semantic Web and ontologies.
• Introduction to Intelligent information
  integration techniques.

9
Web Content Management II
Lectures
2002 22 02 Machine Learning
Introduction 2002 22 02 Multidatabase Mining
with Ensembles of Classifiers 2002 01 03
Profile and Location-Based Personalization with
Agents 2002 01 03 Introduction to Bayesian
Networks 2002 08 03 Reasoning and
Personalization with Bayesian Networks 2002 08
03 Introduction to Markup Techniques 2002 15
03 Introduction to Semantic Web and
Ontologies 2002 15 03 Introduction to
Intelligent Information Integration
10
Web Content Management III Course Structure
Agent technologies
Mobile and distributed computing
Distributed AI
Web Content Management III
Knowledge Management
Knowledge metamodeling
Electronic Commerce
Personalization
E-services
Location management
Transaction management
Mobile Commerce
11
Web Content Management IIICourse Content

• Introduction to mobile and distributed
  computing.
• Intelligent agents' technologies.
• Metamodels for knowledge management.
• E-services and their management in wired and
  wireless Internet.
• Review of e-commerce technologies.
• Introduction to mobile electronic commerce.

12
Web Content Management III
Lectures
2002 22 03 Overview of Intelligent Agent
Technologies (I) 2002 22 03 Overview of
Intelligent Agent Technologies (II) 2002 29 03
Metamodels for Managing Knowledge 2002 29
03 Multilevel Profiling in E-Commerce 2002
05 04 Introduction to Mobile and Distributed
Computing 2002 05 04 E-Speak Environment
for Distributed E-Services 2002 12 04
Introduction to Mobile Commerce 2002 12 04
Transaction Management in Mobile Commerce