Transcript On-line Knowledge Management Search Engines

On-line Knowledge
Management Search Engine
Lei Zhang, Bhavani Sridharan and Kinshuk
Information Systems Dept, Massey University
Palmerston North, New Zealand
Tel: +64 6 350 5799 Ext 2090 Fax: +64 6 350 5725
[email protected]
Background
 KM is emerging as a powerful engine in
education, but current KM software lack
the important functionality of providing
access to right knowledge at right time.
 Knowledge Management, combined with
search engine technologies could provide
adaptivity towards the content.
KM in web-based learning

The objective is to generate value from
intelligent capital to enable faster and
efficient learning.

It is about getting the right knowledge to the
right person at the right time.
Benefits of KM in web-based learning

Provide right kind of information in right
amount at right time to prevent overloading
of information to learners that can results in
the cognitive overload for the learners.

Achieving reusability and authenticity.
On-line KM Search Engine
 A new type of search engine that fetches
information from local database and
Internet search engine databases, on the
basis of contextual queries.
On-line KM Search Engine -- Framework
Query
Input Knowledge Requests
Source
Selection &
Query
modification
Preferences
Output Knowledge
Results
Category 1: Explicit
Knowledge
Category 2: Tacit
Knowledge
Category 3: Knowledge
Links
Ordering
Policy
Application
Database
Google
Database
Page
Retriever
&
Page
Analyser
Application Prototype –Interface after login
Application Prototype – Search
Application Prototype – Search Results
Return Result
from Google
Explicit Knowledge
Pop-up
picture
window
Tacit Knowledge
Future Work
• Knowledge management combined with
search engine technologies can provide
adaptive delivery of domain content in the
web-based learning.
• It can save the precious time for both
teachers and students through immediate
retrieval of information within certain
context.