5. Course Challenges
concepts
human sciences theories
perspective models
processes
computer
IT applications
sciences
& tools
perspective
6. Course goals
At the end of this course you should be
able of:
Distinguish between computer and human
sciences perspectives
Select, use and/or implement applications with
a clear understanding on their implications for
people and organizations
7. Course Program I
Week 1
Introduction, Concepts, Conceptual Maps
Information vs Knowledge Management, Blogs
Week 2
Knowledge Management Evolution, Wikis
Knowledge Engineering Process, Groups
Week 3
Knowledge Management Process, Social Networks
Week 4
Information architecture and management, data warehouses
8. Course Program II
Week 5
Real-time Information and knowledge Management
Data Mining
Week 6
Knowledge e-dimension
Week 7
Case Studies, semantic technologies
Week 8
Collective knowledge systems, semantic web
9. Bibliography
Basic
Harvard Business Review on Knowledge Management
Knowledge Management, Carl Frappaolo
Knowledge Engineering and Management: The
CommonKADS Methodology, Guus Shreiber et al
Also
Selected papers
Web Resources
10. Teaching Method
Professor Presentations (once a week)
Student Presentations (once a week)
Group Discussions (after student presentations)
Resource sharing (papers, links, etc.)
Online Discussions
11. Evaluation
Final Exam (50% - min 10)
Group Project (15% - min 9)
Labs (10 % - min 9)
Student Presentations (15% - min 9)
Discussion Participation (10% - min 9)
12. Topics
Presentations:
theoretical topic
Projects:
focused on a particular technology
must show an on-hands experience of
a particular technology
13. Knowledge Management
...of the course
...with a Blog
http://marielba.zacarias.org/
KMNotes/
25. Data vs Information
data: unprocessed symbols
objective (out of the subject)
informação: data processed to answer questions
transferrable
subject to measurement (quality & quantity)
manual or automatic processing
26. Information
Data: symbols (Pedro, 289-100-100)
Information: data with meaning in a given context
Student name, telephone)
Information concept embedded in the signal concept
Signal: anything with meaning (words)
System of signals: organized collection of signals (language)
Levels: sintactics, semantics, pragmatics
27. Knowledge and Wisdom
Knowledge:
application of data and information in action,
depends on the context of action
in human sciences knowledge is a human quality i.e.
subjective, inside human minds
in engineering, it could be extracted from human minds and
represented in some way.
Wisdom: understanding as result of previous knowledge and
experience accumulated throughout time
31. grounded on identity
construction
retrospective
“Sense-making” situated and embodied (context)
individual and social
focused on cues
“thinking processes that uses
retrospective accounts to explain
surprises”
“put stimuli into conceptual
frameworks to comprehend,
understand, explain, attribute,
extrapolate and predict”
33. Blog
Web Log
website (or part of)
maintained by an individual who posts and
comments news, events or other materials
typically combine text, images, videos, audios, or
web links
some word as diaries
typically interactive -> allow user replies to posts
34. Origins
online communities
mailing lists
bulleting board systems (BBS)
online forums
modern blogs evolve from
online diaries (mostly from jornalists)
37. Considerações éticas e
sociais
Popularity
Political Impact
Borders with mass communication
channels (TV, cinema)
Dangers (ex. blogs for anorexic girls, porn)
40. Conceptual Maps
Information and knowledge representation tool
Concepts + relations between concepts
Concepts:
objects or events (names ou phrases)
Relations: Propositions connecting concepts
44. Conceptual Maps Advantages
Graphic visualization of information and
knowledge resources
Facilitate comnunication and shared
understandings between people
Help answering questions about a domain
46. Quality criteria
Functional
serves a purpose? has an updating process?
has feedback mechanisms
Cognitive
overload? level of detail? allows visual
comparisons? elements can be
distinguished?
47. Quality criteria
Technical
access time? visualized in a browser?
readable in several resolutions? protected
from non-authorized acess?
Aesthetics
pretty? balanced? map identity is kept
when increasing new elements?