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Knowledge Management: The first Encounter

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Title: Knowledge Management: The first Encounter


1
Knowledge Management The first Encounter
Jessica Chen-Burger
2
Why KM ?
  • A company's intellectual capital represents its
    ability to change in the face of adversity.
    Develop new products. Cut research and develop
    time. Provide quality customer service. Share
    knowledge with employees, partners and customers.

Source Orbital Software
3
What is Knowledge?
  • Knowledge is neither data nor information, though
    it is related to both, and the differences
    between these terms are often a matter of degree.
  • Data, information and knowledge are not
    interchangeable concepts.
  • Knowledge is a fluid mix of framed experience,
    values, contextual information, and expert
    insight that provides a framework for evaluating
    and incorporating new experiences and
    information. It originates and is applied in the
    minds of knowers. In organizations, it often
    becomes embedded not only in documents or
    repositories but also in organizational routines,
    processes, practices and norms.
  • - Thomas H. Davenport, Laurence Prusak
  • Working Knowledge How organisations manage what
    they know
  • Harvard Business School Press, 1998, 2000

4
What is Knowledge Management? (1)
  • The leveraging of collective wisdom to increase
    responsiveness and innovation.
  • -The Delphi Group
  • Knowledge Management is intended to allow
    organisations to protect and develop their
    knowledge resource.
  • Applied Knowledge Resource Institute
  • Knowledge Management is a management discipline
    that focuses on enhancing knowledge production,
    integration and use in organizations.
  • Mark W. McElroy, Macroinnovation Associates. LLC
  • Knowledge Management Consortium Int'l
  • A cycle of knowledge creation, integration and
    dissemination.
  • Gerhard Fischer, Jonathan Ostwaid, Univ.of
    Colorado

5
What is Knowledge Management? (2)
  • Knowledge Management facilitates the capture,
    deployment, access and reuse of information and
    knowledge-typically using contemporary
    technology i.e. internet.
  • - Daniel E. OLeary, Univ. of S. California
  • Knowledge Management is the ongoing creation,
    capture, preservation and management of
    information. This gives employees, customers,
    partners and companies the resources needed to be
    more efficient and productive.
  • Orbital Software, ass. with KM world
  • Knowledge Management has referred to efforts to
    capture, store, and deploy knowledge using a
    combination of information technology and
    business processes.
  • - Alun Preece, Alan Flett, and Derek Sleeman,
    Univ. of Aberdeen

6
What are the current KM practice? Who offers
Them? (1)
  • KM is a management discipline that focuses on
    enhancing knowledge production, integration and
    use in organizations.
  • Mark W. McElroy, Macroinnovation Associates. LLC
  • Knowledge Management Consortium Int'l

7
Macroinnovation Ass. KM Framework
8
Approach
Demand-side KM
Supply-side KM
Individual Learning Group Learning Communities of Inquiry Think Tanks Management Planning Training Program Communities of Practice Knowledge Capture Storytelling KM Initiatives Operations mgmt
Knowledge Portals Innovation mgmt tools Groupware collaboration apps, Virtual Teaming Tools, emails Discussion group Information Portals Intranets Information mgmt Work product mgmt Content mgmt Groupware
Social Dim.
Tech. Dim.
9
What are the current KM practice? Who offers
Them? (2)
  • Knowledge Management is the ongoing creation,
    capture, preservation and management of
    information. This gives employees, customers,
    partners and companies the resources needed to be
    more efficient and productive.
  • - Orbital Software, ass. with KM world

10
Orbital
  • Orbital's flagship Organik software provides
    expertise location capabilities to bring people
    and information together so that users can ask
    questions, find experts and share knowledge.
  • Browse through a range of communities, and
    instantly access a valuable, dynamic source of
    knowledge on their favourite subjects.
  • Find and connect with like-minded individuals and
    subject experts.
  • Ask questions on any subject, and get tailored,
    relevant answers from other community members.
  • Share their own knowledge with others by
    answering questions.
  • Get involved in discussions with other community
    members.

11
What are the current KM practices? Who offers
Them? (3)IBM and Lotus
  • People, Places and Things
  • Lotus and IBM have identified People, Places and
    Things as the three essential ingredients of an
    effective Knowledge Management infrastructure.
  • According to this concept, people, not facts, are
    the focal point of knowledge management.
  • People bring powerful insights and expertise to
    the business process and require Places where
    they can create and act on knowledge, and Things
    to help them meet their business goals.

12
IBM and Lotus KM
13
Lotus Knowledge Management Solution
  • Lotus has developed an integrated collection of
    Knowledge Management technologies
  • Lotus K-station. A collaborative knowledge portal
    that organises content, applications, and people
    for both individuals (personal places) and
    communities (community places).
  • Lotus Discovery Server. A discovery tool that
    probes an organisation's combined knowledge and
    discovers the relationships between People, Place
    and Things so that they can be applied to
    specific business challenges.

14
Lotus and IBM KM Strategy
15
On Reflection
  • There is a rough consensus on Knowledge
    Management Process.
  • It is widely agreed that IT can help KM.
  • However, there is no single KM methodology that
    is agreed upon by all.
  • There is no single dominating formal approach for
    KM in fact, most KM do not have a formal
    approach.
  • Furthermore, most KM only manipulate on the
    syntactic level, but not on the semantic level.

16
Can AI Contribute to KM ?
17
Relevant (AI) Techniques to KM
  • Knowledge Engineering/Acquisition techniques
  • Data Mining, Information Extraction
  • Ontology
  • XML, XML Schema, RDF, RDF Schema
  • Knowledge and Enterprise Modelling
  • Business Process Modelling
  • Capability, Goal Modelling, User Modelling and
    Profiling
  • Case Based Reasoning
  • Planning
  • Workflow Systems
  • Knowledge integration, specialisation and reuse
  • Inconsistency checking and critiquing
  • Automatic support for collaborative discussion,
    argumentation, topic tracking and maintenance

18
What can AI contribute to KM ?
  • Knowledge engineering techniques
  • Knowledge acquisition
  • Knowledge capture
  • Knowledge modelling
  • Knowledge sharing
  • Knowledge reasoning and inferencing, e.g.
  • Workflow system
  • Knowledge verification, validation and critiquing
  • Knowledge argumentation and conflict resolving
  • Knowledge use and re-use

19
Proposal A KM Approach that is aligned with
Organisational Goals
  • The process of KM is a recursive one, since an
    organisation evolves with its goals and
    objectives while its external environment
    changes its members, the employees, also change
    with time.
  • The KM process may be described as below
  • Identification of Organisational Goals and
    Scoping of KM project
  • Capturing and Creating Knowledge
  • Evaluation of Knowledge
  • Planning aligning organisational goals,
    knowledge assets and (current and future)
    knowledge requirements
  • Use and Re-use of Knowledge
  • Re-shaping the organisation.

20
Proposal KM An AI Approach
  • Multiple Perspective Enterprise Modelling
  • Design Principles
  • A set of complimentary models
  • Intuitive visual style
  • Structural methodology guided
  • Underlying formal representation
  • Ontology based
  • Verification, validation and critiquing theory
  • Knowledge sharing between different models
  • Collaborative support for discussion,
    argumentation, topic tracking and maintenance.

21
The Set of Enterprise Models
  • Organisational Goal Model
  • Organisational goals described at different
    levels
  • Task based
  • Knowledge Asset Model Capability Model
  • Knowledge actors
  • Knowledge assets
  • Capabilities of knowledge actors
  • Types of capabilities
  • Organisational Goal and Capability Matching Model
  • Mapping goals and tasks with capability and
    people
  • Business Process Model
  • Mapping knowledge with business operations
    (blueprint for workflow)
  • Business KM Strategy Model
  • Realising KM in daily working life and
    in-cooperating with the business strategies in
    longer-term plans

22
Motivation
Org. Mid-Term, Knowledge Use and evaluation
Org. Short Term Goal KM/KA project goal
Group Cap.
Org. Cap.
Indiv. Cap.
Org. Long-Term
Task and Goal Oriented KM planning
23
ConclusionKM is largely still a puzzle
24
However, if we catch the golden snitch -
25
There will be a feast awaiting us !!
26
Selective References
  1. Thomas H. Davenport, Laurence Prusak Working
    Knowledge How Organisations manage what they
    know. Harvard Business School Press, 1998, 2000
  2. Gerhard Fischer, Jonathan Ostwaid, Univ.of
    Colorado Knowledge Management Problems,
    Promises, Realities, and Challenges. IEEE
    Intelligent Systems, Knowledge Management,
    January/February 2001.
  3. Daniel E. OLeary, Univ. of S. California How
    Knowledge Reuse Informs Effective System Design
    and Implementation. IEEE Intelligent Systems,
    Knowledge Management, January/February 2001.
  4. Ann Macintosh, Ian Filby, Austin Tate Knowledge
    Asset Roadmap, Proceedings of 2nd Int. Conf. On
    Practical Aspects of KM, Oct. 1998.
  5. Harry Potter Photos used in this document are
    taken from http//harrypotterclips.tripod.com.

27
  • End of Slides
  • Thank you for Listening
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