Transcript What is knowledge?

Knowledge Management System
Yeni Herdiyeni
http://ilkom.fmipa.ipb.ac.id/kulon/
Magister Ilmu Komputer
Dept of Computer Science, IPB
Februari 2009
Understanding KM

Understanding
Knowledge
Management
requires an
understanding of
knowledge and the
knowing process
and how that differs
from information
and information
management.
Knowledge
Wisdom/
Intelligence
Knowledge
Information
Data
Human, judgemental,
insight
Contextual, tacit
Transfer needs learning
Codifiable, explicit
Easily transferable
Data vs Information vs Knowledge
Bits representing a restaurant
sales order including two large
DATA
burger and two medium-size
soft drink
For the restaurant manager
INFORMATION numbers is used to indicate
the daily sales of burger and
soft drink
The daily sales of burgers can
KNOWLEDGE be used to compute the
amount of bread to buy
Data vs Information vs Knowledge

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Data is just bits (represents raw numbers or
assertions)
Information is Data with context and
relevance (data with semantics)
Knowledge is Information with decisionmaking and action directed utility and
purpose (relationship among concept
relevant to particular area)
Data, Information and Knowledge

Knowledge is information that helps to
– Produce information from data
– Produce more valuable information for
less valuable information
From
Information Management
to
Knowledge Management
One Perspective of KM

“KM [Knowledge Management]
involves blending a company’s
internal and external information
and turning it into actionable
knowledge via a technology
platform.”
(Susan DiMattia and Norman Oder in
Library Journal, September 15, 1997.)
Knowledge Management

Knowledge management is the system
and managerial approach to collecting,
processing, and organizing enterprisespecific knowledge assets for business
functions and decisions
One Perspective of KM

Knowledge Management = doing what
is needed to get the most out of
knowledge resources
Knowledge Management
“DOING WHAT IS
NEEDED”
The ability
to create (Learning),
communicate (Sharing),
and apply (knowing)
knowledge to achieve our
goals.
Knowledge Management System (KMS)

Knowledge Management System are
the integration of technologies and
mechanisms that are developed to
support the four KM Processes
(DISCOVER, CAPTURE, SHARE,
APPLICATION)
Driving Factors

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

Increase in technology
use on campus
Increase in products
and services being
supported
Increase in amount of
support documentation
Increase in
expectations
How a Knowledge
Management System Works
Knowledge Base
How a Knowledge
Management System Works
Knowledge Base
How a Knowledge
Management System Works
Knowledge Base
Knowledge Management
Strategy

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


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Introduce the concept of Knowledge
Management
Gather requirements from user groups and
customers
Pilot with the Help Desk
Roll out to groups outside the Help Desk as
the system matures
Roll out self-service
Continually maintain knowledge
KMS Technology

artificial intelligence (AI) technologies
encompassing:
– those used for knowledge acquisition
– case-based reasoning systems
– expert systems
– Data mining
– Information Retrieval (Text/Multimedia
Retrieval)
– … and many others
KMS Technology





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electronic discussion groups
computer-based simulations
databases
decision support systems
enterprise resource planning systems
management information systems
expertise locator systems
videoconferencing
information repositories encompassing best
practices databases and lessons learned systems
KM Process, Mechanism, and Technology
Knowledge Management
Enabling Technology


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Knowledge bases
Search engines
Document management systems
Technology
- Three-tier
Database
Architecture
for storage,
evaluation and
publishing of
information
Top Tier
Middle Tier
Bottom Tier
Benefits of Knowledge
Management

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Greater access to knowledge
Better maintenance of knowledge
Increased customer service levels
Reduce the need to increase resources
Questions?

Are there other areas within the
University that we should include as we
explore Knowledge Management?
KM
Corporate
Intelligent
Impact