Download Spec for KM

Social Knowledge Management
for new Enterprise KM
paradigm
ePortfolio 2005, Cambridge, UK
C. Bothorel, V. Dubois, M. Van Coillie
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Research and Developpement Legal Department
D1 - 12/08/2017
Goals
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Knowledge Management is considered only as an
Information System
Collect, store, capitalize, search information
System view, documents centered
Problem: Where are the users ?
New Enterprise Paradigm
KM process centered on individuals: active
KM oriented on interactions: competency sharing, people
browsing
KM as personalized document browsing: local search
New tools required
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Social ePortfolio and KM: Why?
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Idea: Using Social ePortfolio in Knowledge
Management context
ePortfolio: Individuals are actors, manage their own
knowledge
Social: Individuals share their knowledge and browse others’
Two complementary fields
KM brings techniques
ePortfolio brings a user-centered framework
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Social ePortfolio and KM: How?
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KM helps in
Profile filling
Text Mining
Clustering: classify documents, build users communities
Personalisation
Social ePortfolio helps in
Visualising my own profile and how KM system ‘sees me’
Building a social dynamic: friends, communities creation, file
sharing
Both
Calculating affinities between users: positioning myself among
others, visualising implicit communities of interests and practice
Personalisation: visualising a documents/users space with my
own point of view
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Complete Process
Enterprise/Group/Community
'documents space'
1–
Documents
analysis
Words Classes
(concepts cartography)
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2 – Tagging
documents
Tagged
documents
Listing of users
documents ownership
3 - Profiles filling
Profiles positioned
according to the concepts
cartography
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Simple demonstrator
Architecture
Elgg user profile
database and
documents
repository
Elgg User
Interface
Prefuse
visualization
toolkit
XML-RPC / SOAP
(IMS LIP) or FOAF, RSS
XML-RPC
(GraphML)
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FT R&D KM
Data-mining
tools
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Profile learning
Similar profiles
Consulted Documents
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Automatically
deduced
Similarity Network
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Thematical
browsing
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thematical
results
centered
on me
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Conclusion : Enhanced ePortfolio
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Profile initialisation based on use and documents
analysis.
Help ePortfolio users:
To find other users or documents regarding their interests/needs
To see their position inside a community
To share their competencies and knowledge
Help managers and ePortfolio reviewers:
To visualize a knowledge map based on common concepts
related to the employees/users and documents without filling a
whole ontology.
To find employees/users or documents for project or career
managment
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Conclusion : Enhanced ePortfolio
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Interoperability in interaction between an ePortfolio and
a data-mining solution
Based on XML standards for describing the user : IMS (LIP,
ePortfolio) and the cartography (GraphML).
A simple interface based on web-service (XML-RPC, SOAP)
Can be used as a basis for building a common
specification for interoperability of eportfolio data-mining
services.
Open to HR and eLearning fields
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Thanks
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Any questions ???
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D13 - 12/08/2017