on-to-knowledge review juan-les-pins/france, october 06, 2000 hans akkermans, vua
DESCRIPTION
K M. M e thodology. On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA Hans-Peter Schnurr, AIFB Rudi Studer, AIFB York Sure, AIFB. On-To-Knowledge. WP-5 Methodology and Management Guidelines: covered issues. - PowerPoint PPT PresentationTRANSCRIPT
On-To-Knowledge reviewJuan-Les-Pins/France, October 06, 2000
Hans Akkermans, VUA
Hans-Peter Schnurr, AIFB
Rudi Studer, AIFB
York Sure, AIFB
KMMethodology
On-To-Knowledge
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 2
- Ontology
WP-5 Methodology and Management Guidelines: covered issues
Identification of knowledge needs, opportunities and bottlenecks in focus areas of the organisation
Structured construction and validation of ontologies
User-focused introduction of KM tools
Maintenance and steady improvement of existing KM applications
Context-oriented requirements for envisaged knowledge management tools
Principled foundation for any knowledge management tool in the organisation
Knowledge pull and push instead of information overload
KM applications remain successful and useful in a changing organisational environment
Context-oriented requirements for envisaged knowledge management tools
Principled foundation for any knowledge management tool in the organisation
Knowledge pull and push instead of information overload
KM applications remain successful and useful in a changing organisational environment
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 3
- Ontology
Baseline version
Employment
& EvaluationExpansion & Revision
Final version
•Based on CommonKADS
•Literature study
•Systematization of existing practical experiences
•Employment of baseline version in the set of case studies
•Feedback on KM guidelines
•Revision and Expansion based on feedback
•General and comprehensive KM guidelines
•Practically illustrated by real-life industry cases
•Guide book
Month 17 Month 25 Month 30Month 8
WP-5 Workpackage project plan
Baseline version
Employment
& EvaluationExpansion & Revision
Final version
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 4
- Ontology
Agenda
• The Knowledge Management challenge
• Processes in a KM project– Overall picture– Feasibility study– User driven use cases– Supporting use cases– Focus: ontology development
• Summary
KM challenge
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 5
- Ontology
Usually, there is no easy, fast and guided access to knowledge
OTK offers solutions to KM access problems
Usage scenarios• Querying• Navigating• Community of
Knowledge Sharing
Benefits• Less time• Lower costs• Higher quality
Problems• Search... find?• No context, no guidance• What you get is hardly ever what you want
KM challenge
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 6
- Ontology
Example: WWW Search Engine
KM challenge
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 7
- Ontology
1. Usage Scenario: Querying for knowledge
Actual systems • WWW Search Engines
– e.g. Altavista• Intranet Search Tools
– e.g. Verity
Problems of keyword based search engines
• Too many results and often not the right ones
• Word selection matters!• Generalization / refinement not
possible
Solution: semantic querying
• Context via Ontology• Generalize / refine via Ontology• Match natural language queries into
ontological concepts• Predefined queries
KM challenge
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 8
- Ontology
Example: WWW Portals
KM challenge
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 9
- Ontology
2. Usage Scenario: Navigating
Actual systems • WWW Portals
– e.g. Yahoo!
Problems of navigating• Categorization of user differs
from systems categories• None or weak user guidance
within categorization• Missing visualization
Solution: Ontology as a guidance for navigation
• Guidance via Ontology• Individual views to knowledge• Dynamic views to knowledge• Visualization of hierarchies• Predefined queries
KM challenge
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 10
- Ontology
Example: Discussion forum
KM challenge
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 11
- Ontology
3. Usage Scenario: Community of knowledge sharing
Actual systems• Discussion forum
– e.g. Knowlity• Groupware systems
– e.g. Lotus Notes
Problems of communities• Motivation / incentives• Overhead work• None or weak
personalization features available
Solution: Integrated platform
• Organizational issues• Methodology captures users needs and
integrates them into application assembly • Embedded in work applications• Ontology-based profiling
KM challenge
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 12
- Ontology
Agenda
• The Knowledge Management challenge
• Processes in a KM project– Overall picture– Feasibility study– User driven use cases– Supporting use cases– Focus: ontology development
• Summary
Processes
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 13
- Ontology
From usage scenarios to processes: Use cases
Push services
Comm. of know. sharing
Nav. / browse KB
Querying KB
Seek knowledge
OTK toolset
Knowledgeengineer
Knowledgeprovider
Management
Assign people
Knowledgeworker
Ontology development
Maintenance
Annotation
Fill KB
Processes
- Overall pic
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 14
- Ontology
User-driven Knowledge Management processes
Processes in an OnToKnowledge KM project
Feasibility study
Querying KB
Navigate and browse
KB
Community of
Knowledge Sharing
Input to the KB
Supporting Knowledge Management processes
Processes
- Overall pic
Ontology develop-
mentMaintenance
Annotation of
documents
Fill the Knowledge
Base
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 15
- Ontology
Context Modelling with a Feasibility study
Feasibility study
Identifying problem/opportunity areas and potential solutions, and putting them into a wider organizational perspective.
Deciding about economic, technical and project feasibility, in order to select the most promising focus area and target solution
People involved
Application selection
Focus domain for ontology development
Input to KM processes
People
Knowledge assets
Processes
Processes
- Feasibility
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 16
- Ontology
CommonKADS - Context Modelling Road MapStart
OM-1worksheet:
problems, solutions, context
OM-2worksheet:
description of organi-
zation focus area
Refine
OM-5work-sheet
Judge Feasibility (Decision
Document)
OM-4worksheet
knowledge assets
OM-3worksheet
process break-down
Integrate
TM-1worksheet
task analysis
[If unfeasible]
Stop
TM-2worksheet
knowledge item
analysis
AM-1worksheet
agent model
Contextanalysis ready
[If feasible]
TM-2worksheet
knowledge item analysis
TM-2worksheet
knowledge item analysisProcesses
- Feasibility TM-2worksheet
knowledge item analysis
Focus domain for ontology development
People involved: GUI
Tool selection
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 17
- Ontology
User-driven Knowledge Management processes
Processes in an OnToKnowledge KM project
Feasibility study
Querying KB
Navigate and browse
KB
Community of
Knowledge Sharing
Input to the KB
Supporting Knowledge Management processes
Processes
- Overall pic
Ontology develop-
mentMaintenance
Annotation of
documents
Fill the Knowledge
Base
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 18
- Ontology
Querying for knowledge
• Context via Ontology• Generalize / refine via Ontology• Match natural language queries into
ontological concepts• Predefined queries
?
? ??
??
Processes
- User driven use cases
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 19
- Ontology
Example: Predefined queries
Processes
- User driven use cases
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 20
- Ontology
Ontology as a guidance for navigation
• Guidance via Ontology• Individual views to knowledge• Dynamic views to knowledge• Predefined queriesProcesses
- User driven use cases
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 21
- Ontology
Example: Guidance via Ontology
Processes
- User driven use cases
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 22
- Ontology
Example: Dynamic views to knowledge
Processes
- User driven use cases
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 23
- Ontology
Community of knowledge sharing
• Organizational issues• Methodology captures users needs and
integrates them into application assembly • Embedded in work applications• Ontology-based profiling
Processes
- User driven use cases
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 24
- Ontology
User-driven Knowledge Management processes
Processes in an OnToKnowledge KM project
Feasibility study
Querying KB
Navigate and browse
KB
Community of
Knowledge Sharing
Input to the KB
Supporting Knowledge Management processes
Processes
- Overall pic
Ontology develop-
mentMaintenance
Annotation of
documents
Fill the Knowledge
Base
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 25
- Ontology
Ontology development
Kickoff Refinement
ONTOLOGY
Evaluation Maintenance
•Requirement specification
•Analyze input sources
•Develop baseline taxonomy
•Concept elicitation with domain experts
•Conceptualize and formalize
•Add relations and axioms
•Revision and expansion based on feedback
•Analyze usage patterns
•Analyze competency questions
•Manage organizational maintenance process
- Ontology
Processes
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 26
- Ontology
Ontology development
- Ontology
Processes
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 27
- Ontology
Ontology development
- Ontology
Processes
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 28
- Ontology
Ontology refinement supported by OntoEdit
- Ontology
Processes
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 29
- Ontology
User-driven Knowledge Management processes
Processes in an OnToKnowledge KM project
Feasibility study
Querying KB
Navigate and browse
KB
Community of
Knowledge Sharing
Input to the KB
Supporting Knowledge Management processes
Processes
- Overall pic
Ontology develop-
mentMaintenance
Annotation of
documents
Fill the Knowledge
Base
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 30
- Ontology
Agenda
• The Knowledge Management challenge
• Processes in a KM project– Overall picture– Feasibility study– User driven use cases– Supporting use cases– Focus: ontology development
• SummarySummary
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 31
- Ontology
Tools vs. User-driven use cases
Inferencing Tool
Visualization Tool
QL Engine
User Interface
Knowledge Sharing Facility
Querying the KB
Navigate and browse KB
Community of knowlege sharing
Push services provided to users
Summary
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 32
- Ontology
Tools vs. Supporting use cases
Ontoedit
Inferencing Tool
Corporum
Visualization Tool
Knowledge Sharing Facility
Ontology development
Annotation
Maintenance
Fill Knowledge Base
Summary
Processes
Summary
KM challenge
- Overall pic
- Feasibility
- User driven use cases- Supporting use cases
On-To-Knowledge Slide 33
- Ontology
Next steps
• Employment of baseline version in the set of case studies
• Feedback on KM guidelines
Summary