gic2011 aula0-ingles
TRANSCRIPT
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Information & KnowledgeManagement
Marielba ZacariasProf. Auxiliar DEEI
FCT I, Gab 2.69, Ext. 7749
[email protected]://w3.ualg.pt/~mzacaria
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Summary
Introduction
Basic Knowledge
Information vs data & knowledge
Information vs IS e IT
Information vs Knowledge Management
Conceptual Maps
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Who am I?Marielba Zacarias
Computer Engineering (USB, 1982)
Information SystemsProgrammer/Analyst (10 years)IT Consultant (3 anos)
Ms Sc Systems Engineering (USB,1996)
Teaching Assistant (1 ano)Project Manager (3 anos)
PhD Informatics Engineering (IST, 2008)
Organizational Engineering
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The course
Mission:
Teach information and knowledge management concepts, processes and technologies
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Course Challenges
conceptstheoriesmodels
processes
human sciencesperspective
IT applications& tools
computersciences
perspective
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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
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Course Program IWeek 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
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Course Program IIWeek 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
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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
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Teaching Method
Professor Presentations (once a week)
Student Presentations (once a week)
Group Discussions (after student presentations)
Resource sharing (papers, links, etc.)
Online Discussions
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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)
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Topics
Presentations:
theoretical topic
Projects:
focused on a particular technology
must show an on-hands experience of a particular technology
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Knowledge Management...of the course
...with a Blog
http://marielba.zacarias.org/KMNotes/
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Blog (top)
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Blog (middle)
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Blog (bottom)
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Blog (Classes Page)
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Blog (Labs Page)
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Blog (Technologies Page)
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Today’s topic..
Basic concepts
Problem: information vs knowledge
Conceptual and Ontological!
Engineering vs Human Sciences
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Basic AssumptionsOntology
Position on reality and world
Epistemology
Theory of Knowledge
How knowledge is created
Methodology
of research
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Ontology
Interpretivism
Positivism
Constructivism
Ontological shock between engineering and human sciences (organizational, social, management)
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Ontology
Interpretivism
Positivism
Constructivism
Ontological shock between engineering and human sciences (organizational, social, management)
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Constructivism
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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
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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
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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
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Continuum data-wisdom
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Continuum data-wisdom
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Pyramid of Knowledge
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“Sense-making”
“thinking processes that uses retrospective accounts to explain
surprises”
“put stimuli into conceptual frameworks to comprehend, understand, explain, attribute,
extrapolate and predict”
grounded on identity constructionretrospective
situated and embodied (context)individual and social
focused on cues
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Tool SectionBlogs &
Conceptual Maps
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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
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Origins
online communities
mailing lists
bulleting board systems (BBS)
online forums
modern blogs evolve from
online diaries (mostly from jornalists)
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Blog types
Personal
Topical
Corporative or organizacional
Type of content
vlog, linklog, photolog
Devices (ex. mobile moblog)
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Blog-based communities
Blogosphere
Blog search engines
Blogscope, Technorati, Bloglines
Communities & Directories (MyBlogLog)
Advertisement
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Considerações éticas e sociais
Popularity
Political Impact
Borders with mass communication channels (TV, cinema)
Dangers (ex. blogs for anorexic girls, porn)
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Blogger
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WordPress
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Conceptual Maps
Information and knowledge representation tool
Concepts + relations between concepts
Concepts:
objects or events (names ou phrases)
Relations: Propositions connecting concepts
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CMapTools
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Dowloading CmapTools
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Examples
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Conceptual Maps Advantages
Graphic visualization of information and knowledge resources
Facilitate comnunication and shared understandings between people
Help answering questions about a domain
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Conceptual Maps Disadvantagens
undiserable visualizations
incorrect interpretation
fixation of a unique perspective
information overload
outdating
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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?
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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?