Information & KnowledgeManagement

Marielba ZacariasProf. Auxiliar DEEI

FCT I, Gab 2.69, Ext. 7749

mzacaria@ualg.pthttp://w3.ualg.pt/~mzacaria

Summary

Introduction

Basic Knowledge

Information vs data & knowledge

Information vs IS e IT

Information vs Knowledge Management

Conceptual Maps

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

The course

Mission:

Teach information and knowledge management concepts, processes and technologies

Course Challenges

conceptstheoriesmodels

processes

human sciencesperspective

IT applications& tools

computersciences

perspective

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

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

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

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

Teaching Method

Professor Presentations (once a week)

Student Presentations (once a week)

Group Discussions (after student presentations)

Resource sharing (papers, links, etc.)

Online Discussions

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)

Topics

Presentations:

theoretical topic

Projects:

focused on a particular technology

must show an on-hands experience of a particular technology

Knowledge Management...of the course

...with a Blog

http://marielba.zacarias.org/KMNotes/

Blog (top)

Blog (middle)

Blog (bottom)

Blog (Classes Page)

Blog (Labs Page)

Blog (Technologies Page)

Today’s topic..

Basic concepts

Problem: information vs knowledge

Conceptual and Ontological!

Engineering vs Human Sciences

Basic AssumptionsOntology

Position on reality and world

Epistemology

Theory of Knowledge

How knowledge is created

Methodology

of research

Ontology

Interpretivism

Positivism

Constructivism

Ontological shock between engineering and human sciences (organizational, social, management)

Ontology

Interpretivism

Positivism

Constructivism

Ontological shock between engineering and human sciences (organizational, social, management)

Constructivism

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

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

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

Continuum data-wisdom

Continuum data-wisdom

Pyramid of Knowledge

“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

Tool SectionBlogs &

Conceptual Maps

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

Origins

online communities

mailing lists

bulleting board systems (BBS)

online forums

modern blogs evolve from

online diaries (mostly from jornalists)

Blog types

Personal

Topical

Corporative or organizacional

Type of content

vlog, linklog, photolog

Devices (ex. mobile moblog)

Blog-based communities

Blogosphere

Blog search engines

Blogscope, Technorati, Bloglines

Communities & Directories (MyBlogLog)

Advertisement

Considerações éticas e sociais

Popularity

Political Impact

Borders with mass communication channels (TV, cinema)

Dangers (ex. blogs for anorexic girls, porn)

Blogger

WordPress

Conceptual Maps

Information and knowledge representation tool

Concepts + relations between concepts

Concepts:

objects or events (names ou phrases)

Relations: Propositions connecting concepts

CMapTools

Dowloading CmapTools

Examples

Conceptual Maps Advantages

Graphic visualization of information and knowledge resources

Facilitate comnunication and shared understandings between people

Help answering questions about a domain

Conceptual Maps Disadvantagens

undiserable visualizations

incorrect interpretation

fixation of a unique perspective

information overload

outdating

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?

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?