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  • 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. SummaryIntroductionBasic Knowledge Information vs data & knowledge Information vs IS e IT Information vs Knowledge ManagementConceptual Maps
  • 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. The courseMission: Teach information and knowledge management concepts, processes and technologies
  • 5. Course Challenges conceptshuman sciences theories perspective models processes computer IT applications sciences & tools perspective
  • 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. 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. 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. 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. Teaching MethodProfessor Presentations (once a week)Student Presentations (once a week)Group Discussions (after student presentations)Resource sharing (papers, links, etc.)Online Discussions
  • 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. TopicsPresentations: theoretical topicProjects: focused on a particular technology must show an on-hands experience of a particular technology
  • 13. Knowledge Management ...of the course...with a Bloghttp://marielba.zacarias.org/KMNotes/
  • 14. Blog (top)
  • 15. Blog (middle)
  • 16. Blog (bottom)
  • 17. Blog (Classes Page)
  • 18. Blog (Labs Page)
  • 19. Blog (Technologies Page)
  • 20. Today’s topic..Basic conceptsProblem: information vs knowledge Conceptual and Ontological! Engineering vs Human Sciences
  • 21. Basic AssumptionsOntology Position on reality and worldEpistemology Theory of Knowledge How knowledge is createdMethodology of research
  • 22. OntologyInterpretivismPositivismConstructivismOntological shock betweenengineering and human sciences(organizational, social, management)
  • 23. OntologyInterpretivismPositivismConstructivismOntological shock betweenengineering and human sciences(organizational, social, management)
  • 24. Constructivism
  • 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. 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. 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. Continuum data-wisdom
  • 29. Continuum data-wisdom
  • 30. Pyramid of Knowledge
  • 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. Tool Section Blogs &Conceptual Maps
  • 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. Originsonline communities mailing lists bulleting board systems (BBS) online forumsmodern blogs evolve from online diaries (mostly from jornalists)
  • 35. Blog typesPersonalTopicalCorporative or organizacionalType of content vlog, linklog, photologDevices (ex. mobile moblog)
  • 36. Blog-based communitiesBlogosphereBlog search engines Blogscope, Technorati, BloglinesCommunities & Directories (MyBlogLog)Advertisement
  • 37. Considerações éticas e sociaisPopularityPolitical ImpactBorders with mass communicationchannels (TV, cinema)Dangers (ex. blogs for anorexic girls, porn)
  • 38. Blogger
  • 39. WordPress
  • 40. Conceptual MapsInformation and knowledge representation toolConcepts + relations between conceptsConcepts: objects or events (names ou phrases)Relations: Propositions connecting concepts
  • 41. CMapTools
  • 42. Dowloading CmapTools
  • 43. Examples
  • 44. Conceptual Maps AdvantagesGraphic visualization of information andknowledge resourcesFacilitate comnunication and sharedunderstandings between peopleHelp answering questions about a domain
  • 45. Conceptual Maps Disadvantagensundiserable visualizationsincorrect interpretationfixation of a unique perspectiveinformation overloadoutdating
  • 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. 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?