1. CPE/CSC 580: Knowledge Management
Dr. Franz J. Kurfess
Computer Science Department
Cal Poly

2. Course Overview Introduction Knowledge Processing
Knowledge Acquisition, Representation and Manipulation
Knowledge Organization
Classification, Categorization
Ontologies, Taxonomies, Thesauri
Knowledge Retrieval
Information Retrieval
Knowledge Navigation
Knowledge Presentation
Knowledge Visualization
Knowledge Exchange
Knowledge Capture, Transfer, and Distribution
Usage of Knowledge
Access Patterns, User Feedback
Knowledge Management Techniques
Topic Maps, Agents
Knowledge Management Tools
Knowledge Management in Organizations

3. Overview Knowledge Management Tools
Motivation
Objectives
Tools Requirements
Knowledge Acquisition
Knowledge Organization
Knowledge Exchange
Knowledge Presentation
Knowledge Retrieval
Capabilities
Capture, Indexing, Search, Link Association, Graphs/Networks, Hierarchies, Collaboration,
KM Tool Sets
Subtopic 1.1
Subtopic 1.2
Tools for Specific KM Tasks
Subtopic 2.1
Subtopic 2.2
Outlook Tools
Subtopic 3.1
Subtopic 3.2
Important Concepts and Terms
Chapter Summary

4. Logistics Introductions Course Materials Term Project
textbook
handouts
Web page
CourseInfo/Blackboard System and Alternatives
Term Project
Lab and Homework Assignments
Exams
Grading

5. Bridge-In

6. Pre-Test

7. Motivation

8. Objectives

9. KM Tools IHMC Concept Maps 80-20 Discovery Assistum
Knowledge Structure Manager (KSM)
Cokace
Idea Processor

10. KM Tools
study IT-Research

11. Tools by Category
Information Retrieval: Verity™, Connex™, Excalibur™, Eurospider™, Google™, Fulcrum™
Collaborative Filtering: Grapevine™
Intranet Portal: Intraspect™ , Open Text™ , Autonomy™, Ontoprise™
Groupware: Lotus Notes™, MS Exchange™
Document Management: PCDOCS™, InQuery™, Filenet™, Documentum™
Text Summarization: Prosum
Database solutions: Wincite™, Dataware™, Agentware™
Experience Factories: at A.D.Little™, at Xerox™
Skill Management: Loga HRMS (P&I)™, proprietary solutions
Semantic Nets-based: USU™, Knowledge Park™
Visualization: Inxight™, AIdministrator™
Knowledge Discovery: Clementine™, IBM™, SAS™
[Staab 2001]

12. KM Tools in Context
Knowledge Discovery Tools (Maybury, WM 2001)

13. IHMC Concept Maps Template
IHMC Concept Map Software
Institute for Human and Machine Cognition, University of West Florida
Purpose
tools for the organization and representation of knowledge
Components
set of Java-based tools for the display and navigation of existing concept maps
http-based server to host concept maps
[Novak 2000]

14. Concept Maps Description
features
creation of concept maps
browsing of existing concept maps
Web browser enhanced with Java as user interface
application examples
Center for Mars Exploration, NASA
weather forecasting in the Gulf Coast region
distance learning [

15. Concept Maps Concept Map[

16. Concept Map Example [

17. Concept Map Example 2 [

18. Concept Maps Evaluation
representation and organization of knowledge
functionality
browsing and construction of concept maps
user interface
Web browser with Java
good aspects
nice visualization, easy to browse
limitations
knowledge acquisition is very labor-intensive

19. 80-20 Discovery Template Discovery 80-20, Author
enhanced search engine for internal data bases
Components

20. 80-20 Discovery Description
features
natural language query parsing
web browser as interface
diagrams
screen shots
application examples

21. 80-20 Discovery Screen Shot
[Screenshot and annotations by Chris Newman]
[Discovery]

22. 80-20 Discovery Evaluation
main emphasis on retrieval of existing knowledge
mainly from already existing data bases
functionality
creates an index of documents in specified storage areas
provides access through natural language queries
integration
with outside systems
tightly integrated with Microsoft products
user interface
web browser
natural language queries
performance
seems to be rather sluggish, probably due to the NL input
good aspects
limitations

23. Assistum Template Products: Assistum Knowledge Tool
Organization: Assistum.com
Purpose
enables the user to create or modify knowledge bases to assist their decision-making
Components
Assistum Viewer
Assistum Knowledge Editor
[Assistum.com]

24. Assistum Description
Assistum provides easy-to-use tools to create powerful fuzzy rule-based decision support systems
it uses fuzzy logic to store and transform degree of truth variables and relationships
demos are available on the Web at
requires Java-capable browser
[Assistum.com]

25. Assistum Example
knowledge network about price increase
[Assistum.com]

26. Assistum Example
reasoning for price increase
[Assistum.com]

27. Assistum Evaluation scope functionality integration user interface
emphasis on knowledge representation
fuzzy logic as inference method
functionality
editor for the creation and modification of knowledge bases
viewer for the display of knowledge bases
integration
within the set
with outside systems
user interface
GUI, Web browser with Java
good aspects
support for knowledge engineering tasks
limitations
mainly a tool for knowledge engineering
[Assistum.com]

28. Knowledge Structure Manager (KSM)
Name of the Tool Set
Jose Cuena, Martin Molina, ISYS Intelligent Systems Research Group, Department of Artificial Intelligence, Polytechnic University, Madrid, Spain
Purpose
a software environment that helps developers and end-users in the development and maintenance of large and complex knowledge-based applications
Components
analysis, design and implementation, maintenance

29. KSM Description goal background diagrams screen shots
reduce the gap between the human understanding and the implementation of applications using knowledge models
background
intuitive modular approach with different levels of abstraction to cope with large knowledge bases
influenced by the idea of generic tasks of Chandrasekaran and the knowledge level concept of Newell.
includes also some ideas from other parallel approaches of knowledge engineering methodologies and tools such as KADS, PROTEGE-II and KREST
diagrams
screen shots
application examples

30. KSM Knowledge Area View

31. KSM Hyperbolic View

32. KSM Task Perspective

33. Problem Formulation

34. KSM Evaluation scope functionality integration user interface
within the set
with outside systems
user interface
performance
good aspects
limitations
seems to be most appropriate for AI knowledge engineering tasks, not so much for knowledge management

35. Cokace Cokace, WebCokace
Olivier.Corby, INRIA, Sophia Antipolis, France
Purpose
environment for the conceptual modelling language CML of the CommonKADS methodology
Components

36. Cokace Description goal features diagrams screen shots
to provide the knowledge engineer with structured edition, static validation and dynamic interpretation of CML expertise models
features
allows the knowledge engineer to simulate a reasoning on CML expertise models
enables verification and evaluation of such expertise models before implementation of the final knowledge-based system
diagrams
screen shots
application examples

37. Cokace Example ontology produced on-line by WebCokace labels are lost

38. Cokace Evaluation development tool for CommonKADS methodology
functionality
integration
within the set
with outside systems
user interface
Web-based (WebCokace)
good aspects
knowledge engineering support
limitations
mainly for knowledge engineering purposes

39. Idea Processor Idea Processor A-I-A Purpose Components
Purpose
new generation Computer Supported Cooperative Work technology composed of a user driven software system and a methodology, IdeaProcessing(™)
Components

40. Idea Processor Description
goal
to facilitate idea and knowledge management and communication with a graphical and intuitive approach
features
permits simultaneous access by various individuals within a work group to diagram building which leads to concept formation
joint effort promotes shared understanding and consensus
facilitates the visualization of problems and their solutions
it is an 'ideator' (an idea and strategies editor), a group ware, and a meta-CASE tool.
[A-I-A 2001]

41. Idea Processor Example
site map generated with Idea Processor technology
[A-I-A Site Map]

42. Idea Processor Evaluation
scope
visualization of knowledge
functionality
idea and strategies editor
group collaboration
good aspects
visual display of knowledge aspects
limitations
knowledge acquisition seems tedious

43. Tool Set Template Name of the Tool Set Organization, Author URL
Purpose
Components

44. Tool Set Description further details diagrams screen shots
application examples

45. Tool Set Evaluation scope functionality integration user interface
within the set
with outside systems
user interface
performance
good aspects
limitations

46. Autonomy Template Name of the Tool Set Organization, Author URL
Purpose
Components

47. Tool Set Description further details diagrams screen shots
application examples

48. Tool Set Evaluation scope functionality integration user interface
within the set
with outside systems
user interface
performance
good aspects
limitations

49. MindMap Template Name of the Tool Set Organization, Author URL Purpose
Components

50. Tool Set Description further details diagrams screen shots
application examples

51. Tool Set Evaluation scope functionality integration user interface
within the set
with outside systems
user interface
performance
good aspects
limitations

52. Verity Template Name of the Tool Set Organization, Author URL Purpose
Components

53. Tool Set Description further details diagrams screen shots
application examples

54. Tool Set Evaluation scope functionality integration user interface
within the set
with outside systems
user interface
performance
good aspects
limitations

55. Practicity Template Practicity Organization, Author URL
web-based knowledge sharing environment
Practicity web server, web browser as clients

56. Tool Set Description features diagrams screen shots
captures interactions between users participating in a “community of practice”
contents and contexts of interactions
stores interactions in a cet\ntral knowledge base
diagrams
screen shots
application examples

57. Tool Set Evaluation
main emphasis on capturing of knowledge through interactions
functionality
knowledge capture, access
dtSearch for text-based search
integration
within the set
with outside systems
user interface
performance
good aspects
limitations

58. Groove Template Groove
Groove Networks, Ray Ozzie (Lotus Notes developer)
URL
P2P groupware for direct interaction among users
collaboration, communication, sharing information
Components

59. Tool Set Description features diagrams screen shots
shared spaces are used for storing and accessing knowledge
users share spaces through accounts
diagrams
screen shots
application examples

60. Tool Set Evaluation scope functionality integration user interface
main emphasis on sharing of information
functionality
communication
chatting, messages, discussion forums
collaboration
net meetings, outlines, drawing,
coordination
calender
integration
within the set
with outside systems
user interface
performance
good aspects
limitations

61. Post-Test

62. References
[Cuena & Molina 1996] Cuena J., Molina M.: "Building Knowledge Models Using KSM". Proc. of Knowledge Acquisition of Knowledge Based Systems Workshop, KAW96. Banff, Canada
[Novak 2000] Joseph D. Novak: “The Theory Underlying Concept Maps and How To Construct Them”,
[Staab 2000] Steffen Staab: “Intelligente Techniken für das Wissensmanagement” Knowledge Management Tutorial, Wissensmanagement 2001 Conference, Baden-Baden, Germany,

63. Important Concepts and Terms
natural language processing
neural network
predicate logic
propositional logic
rational agent
rationality
Turing test
agent
automated reasoning
belief network
cognitive science
computer science
hidden Markov model
intelligence
knowledge representation
linguistics
Lisp
logic
machine learning
microworlds

64. Summary Chapter-Topic