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Information & Knowledge      Management        Marielba Zacarias       Prof. Auxiliar DEEI    FCT I, Gab 2.69, Ext. 7749  ...
SummaryIntroductionBasic Knowledge  Information vs data & knowledge  Information vs IS e IT  Information vs Knowledge Mana...
Who am I?Marielba ZacariasComputer Engineering (USB, 1982)  Information Systems  Programmer/Analyst (10 years)  IT Consult...
The courseMission: Teach information and knowledge management concepts, processes and technologies
Course Challenges                   conceptshuman sciences      theories  perspective        models                   proc...
Course goalsAt the end of this course you should beable of: Distinguish between computer and human sciences perspectives S...
Course Program IWeek 1  Introduction, Concepts, Conceptual Maps  Information vs Knowledge Management, BlogsWeek 2  Knowled...
Course Program IIWeek 5 Real-time Information and knowledge Management Data MiningWeek 6 Knowledge e-dimensionWeek 7 Case ...
BibliographyBasic Harvard Business Review on Knowledge Management Knowledge Management, Carl Frappaolo Knowledge Engineeri...
Teaching MethodProfessor Presentations (once a week)Student Presentations (once a week)Group Discussions (after student pr...
EvaluationFinal Exam (50% - min 10)Group Project (15% - min 9)Labs (10 % - min 9)Student Presentations (15% - min 9)Discus...
TopicsPresentations:  theoretical topicProjects:  focused on a particular technology  must show an on-hands experience of ...
Knowledge Management   ...of the course...with a Bloghttp://marielba.zacarias.org/KMNotes/
Blog (top)
Blog (middle)
Blog (bottom)
Blog (Classes Page)
Blog (Labs Page)
Blog (Technologies Page)
Today’s topic..Basic conceptsProblem: information vs knowledge Conceptual and Ontological! Engineering vs Human Sciences
Basic AssumptionsOntology  Position on reality and worldEpistemology  Theory of Knowledge    How knowledge is createdMetho...
OntologyInterpretivismPositivismConstructivismOntological shock betweenengineering and human sciences(organizational, soci...
OntologyInterpretivismPositivismConstructivismOntological shock betweenengineering and human sciences(organizational, soci...
Constructivism
Data vs Informationdata: unprocessed symbolsobjective (out of the subject)informação: data processed to answer questions  ...
InformationData: symbols (Pedro, 289-100-100)Information: data with meaning in a given context  Student name, telephone)In...
Knowledge and WisdomKnowledge:   application of data and information in action,  depends on the context of action   in hum...
Continuum data-wisdom
Continuum data-wisdom
Pyramid of Knowledge
grounded on identity                                               construction                                           ...
Tool Section    Blogs &Conceptual Maps
BlogWeb Logwebsite (or part of)maintained by an individual who posts andcomments news, events or other materialstypically ...
Originsonline communities mailing lists bulleting board systems (BBS) online forumsmodern blogs evolve from online diaries...
Blog typesPersonalTopicalCorporative or organizacionalType of content vlog, linklog, photologDevices (ex. mobile moblog)
Blog-based      communitiesBlogosphereBlog search engines Blogscope, Technorati, BloglinesCommunities & Directories (MyBlo...
Considerações éticas e       sociaisPopularityPolitical ImpactBorders with mass communicationchannels (TV, cinema)Dangers ...
Blogger
WordPress
Conceptual MapsInformation and knowledge representation toolConcepts + relations between conceptsConcepts: objects or even...
CMapTools
Dowloading CmapTools
Examples
Conceptual Maps AdvantagesGraphic visualization of information andknowledge resourcesFacilitate comnunication and sharedun...
Conceptual Maps Disadvantagensundiserable visualizationsincorrect interpretationfixation of a unique perspectiveinformation...
Quality criteriaFunctional serves a purpose? has an updating process? has feedback mechanismsCognitive overload? level of ...
Quality criteriaTechnical access time? visualized in a browser? readable in several resolutions? protected from non-author...
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  1. 1. Information & Knowledge Management Marielba Zacarias Prof. Auxiliar DEEI FCT I, Gab 2.69, Ext. 7749 mzacaria@ualg.pt http://w3.ualg.pt/~mzacaria
  2. 2. SummaryIntroductionBasic Knowledge Information vs data & knowledge Information vs IS e IT Information vs Knowledge ManagementConceptual Maps
  3. 3. Who am I?Marielba ZacariasComputer Engineering (USB, 1982) Information Systems Programmer/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
  4. 4. The courseMission: Teach information and knowledge management concepts, processes and technologies
  5. 5. Course Challenges conceptshuman sciences theories perspective models processes computer IT applications sciences & tools perspective
  6. 6. Course goalsAt the end of this course you should beable 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. 7. Course Program IWeek 1 Introduction, Concepts, Conceptual Maps Information vs Knowledge Management, BlogsWeek 2 Knowledge Management Evolution, Wikis Knowledge Engineering Process, GroupsWeek 3 Knowledge Management Process, Social NetworksWeek 4 Information architecture and management, data warehouses
  8. 8. Course Program IIWeek 5 Real-time Information and knowledge Management Data MiningWeek 6 Knowledge e-dimensionWeek 7 Case Studies, semantic technologiesWeek 8 Collective knowledge systems, semantic web
  9. 9. BibliographyBasic Harvard Business Review on Knowledge Management Knowledge Management, Carl Frappaolo Knowledge Engineering and Management: The CommonKADS Methodology, Guus Shreiber et alAlso Selected papers Web Resources
  10. 10. Teaching MethodProfessor Presentations (once a week)Student Presentations (once a week)Group Discussions (after student presentations)Resource sharing (papers, links, etc.)Online Discussions
  11. 11. EvaluationFinal Exam (50% - min 10)Group Project (15% - min 9)Labs (10 % - min 9)Student Presentations (15% - min 9)Discussion Participation (10% - min 9)
  12. 12. TopicsPresentations: theoretical topicProjects: focused on a particular technology must show an on-hands experience of a particular technology
  13. 13. Knowledge Management ...of the course...with a Bloghttp://marielba.zacarias.org/KMNotes/
  14. 14. Blog (top)
  15. 15. Blog (middle)
  16. 16. Blog (bottom)
  17. 17. Blog (Classes Page)
  18. 18. Blog (Labs Page)
  19. 19. Blog (Technologies Page)
  20. 20. Today’s topic..Basic conceptsProblem: information vs knowledge Conceptual and Ontological! Engineering vs Human Sciences
  21. 21. Basic AssumptionsOntology Position on reality and worldEpistemology Theory of Knowledge How knowledge is createdMethodology of research
  22. 22. OntologyInterpretivismPositivismConstructivismOntological shock betweenengineering and human sciences(organizational, social, management)
  23. 23. OntologyInterpretivismPositivismConstructivismOntological shock betweenengineering and human sciences(organizational, social, management)
  24. 24. Constructivism
  25. 25. Data vs Informationdata: unprocessed symbolsobjective (out of the subject)informação: data processed to answer questions transferrable subject to measurement (quality & quantity)manual or automatic processing
  26. 26. InformationData: symbols (Pedro, 289-100-100)Information: data with meaning in a given context Student name, telephone)Information concept embedded in the signal conceptSignal: anything with meaning (words)System of signals: organized collection of signals (language)Levels: sintactics, semantics, pragmatics
  27. 27. Knowledge and WisdomKnowledge: 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 andexperience accumulated throughout time
  28. 28. Continuum data-wisdom
  29. 29. Continuum data-wisdom
  30. 30. Pyramid of Knowledge
  31. 31. grounded on identity construction retrospective“Sense-making” situated and embodied (context) individual and social focused on cues “thinking processes that usesretrospective accounts to explain surprises” “put stimuli into conceptual frameworks to comprehend, understand, explain, attribute, extrapolate and predict”
  32. 32. Tool Section Blogs &Conceptual Maps
  33. 33. BlogWeb Logwebsite (or part of)maintained by an individual who posts andcomments news, events or other materialstypically combine text, images, videos, audios, orweb links some word as diariestypically interactive -> allow user replies to posts
  34. 34. Originsonline communities mailing lists bulleting board systems (BBS) online forumsmodern blogs evolve from online diaries (mostly from jornalists)
  35. 35. Blog typesPersonalTopicalCorporative or organizacionalType of content vlog, linklog, photologDevices (ex. mobile moblog)
  36. 36. Blog-based communitiesBlogosphereBlog search engines Blogscope, Technorati, BloglinesCommunities & Directories (MyBlogLog)Advertisement
  37. 37. Considerações éticas e sociaisPopularityPolitical ImpactBorders with mass communicationchannels (TV, cinema)Dangers (ex. blogs for anorexic girls, porn)
  38. 38. Blogger
  39. 39. WordPress
  40. 40. Conceptual MapsInformation and knowledge representation toolConcepts + relations between conceptsConcepts: objects or events (names ou phrases)Relations: Propositions connecting concepts
  41. 41. CMapTools
  42. 42. Dowloading CmapTools
  43. 43. Examples
  44. 44. Conceptual Maps AdvantagesGraphic visualization of information andknowledge resourcesFacilitate comnunication and sharedunderstandings between peopleHelp answering questions about a domain
  45. 45. Conceptual Maps Disadvantagensundiserable visualizationsincorrect interpretationfixation of a unique perspectiveinformation overloadoutdating
  46. 46. Quality criteriaFunctional serves a purpose? has an updating process? has feedback mechanismsCognitive overload? level of detail? allows visual comparisons? elements can be distinguished?
  47. 47. Quality criteriaTechnical 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?
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