CPECSC 580: Knowledge Management

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
• 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
Evaluation Criteria
10
KM Tools

• IHMC Concept Maps
• 80-20 Discovery
• Assistum
• Knowledge Structure Manager (KSM)
• Cokace
• Idea Processor

11
KM Tools

• study IT-Research http//www.it-research.net

12
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 (PI), proprietary
  solutions
• Semantic Nets-based USU, Knowledge Park
• Visualization Inxight, AIdministrator
• Knowledge Discovery Clementine, IBM, SAS

Staab 2001
13
KM Tools in Context

• Knowledge Discovery Tools (Maybury, WM 2001)

14
IHMC Concept Maps Template

• IHMC Concept Map Software
• Institute for Human and Machine Cognition,
  University of West Florida
• http//cmap.coginst.uwf.edu/
• 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
15
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

http//cmap.coginst.uwf.edu/
16
Concept Maps Concept Map
http//cmap.coginst.uwf.edu/
17
Concept Map Example
http//cmap.coginst.uwf.edu/
18
Concept Map Example 2
http//cmap.coginst.uwf.edu/
19
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

20
80-20 Discovery Template

• Discovery
• 80-20, Author
• httpwww.80-20.com/products/discovery
• enhanced search engine for internal data bases
• Components

21
80-20 Discovery Description

• features
• natural language query parsing
• web browser as interface
• diagrams
• screen shots
• application examples

22
80-20 Discovery Screen Shot
Discovery
23
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

24
Assistum Template

• Products Assistum Knowledge Tool
• Organization Assistum.com
• http//www.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
25
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
  http//www.assistum.com/2000/demonstrations/javade
  mo.html
• requires Java-capable browser

Assistum.com
26
Assistum Example

• knowledge network about price increase

Assistum.com
27
Assistum Example

• reasoning for price increase

Assistum.com
28
Assistum Evaluation

• scope
• 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
29
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
• http//www.isys.dia.fi.upm.es/ksm/home.html
• 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

30
KSM Description

• goal
• 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

31
KSM Knowledge Area View
32
KSM Hyperbolic View
33
KSM Task Perspective
34
Problem Formulation
35
KSM Evaluation

• scope
• functionality
• integration
• 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

36
Cokace

• Cokace, WebCokace
• Olivier.Corby, INRIA, Sophia Antipolis, France
• http//www-sop.inria.fr/acacia/Cokace/cokace.html
• Purpose
• environment for the conceptual modelling
  language CML of the CommonKADS methodology
• Components

37
Cokace Description

• goal
• 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

38
Cokace Example

• ontology produced on-line by WebCokace
• labels are lost

WebCokace
39
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

40
Idea Processor

• Idea Processor
• A-I-A
• http//www.a-I-a.com/englishHomePage/technologies.
  html
• Purpose
• new generation Computer Supported Cooperative
  Work technology composed of a user driven
  software system and a methodology,
  IdeaProcessing()
• Components

41
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
42
Idea Processor Example

• site map generated with Idea Processor technology

A-I-A Site Map
43
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

44
Tool Set Template

• Name of the Tool Set
• Organization, Author
• URL
• Purpose
• Components

45
Tool Set Description

• further details
• diagrams
• screen shots
• application examples

46
Tool Set Evaluation

• scope
• functionality
• integration
• within the set
• with outside systems
• user interface
• performance
• good aspects
• limitations

47
Autonomy Template

• Name of the Tool Set
• Organization, Author
• URL
• Purpose
• Components

48
Tool Set Description

• further details
• diagrams
• screen shots
• application examples

49
Tool Set Evaluation

• scope
• functionality
• integration
• within the set
• with outside systems
• user interface
• performance
• good aspects
• limitations

50
MindMap Template

• Name of the Tool Set
• Organization, Author
• URL
• Purpose
• Components

51
Tool Set Description

• further details
• diagrams
• screen shots
• application examples

52
Tool Set Evaluation

• scope
• functionality
• integration
• within the set
• with outside systems
• user interface
• performance
• good aspects
• limitations

53
Verity Template

• Name of the Tool Set
• Organization, Author
• URL
• Purpose
• Components

54
Tool Set Description

• further details
• diagrams
• screen shots
• application examples

55
Tool Set Evaluation

• scope
• functionality
• integration
• within the set
• with outside systems
• user interface
• performance
• good aspects
• limitations

56
Practicity Template

• Practicity
• Organization, Author
• URL
• web-based knowledge sharing environment
• Practicity web server, web browser as clients

57
Tool Set Description

• features
• 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

58
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

59
Groove Template

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

60
Tool Set Description

• features
• shared spaces are used for storing and accessing
  knowledge
• users share spaces through accounts
• diagrams
• screen shots
• application examples

61
Tool Set Evaluation

• scope
• 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

62
Post-Test
63
Evaluation

• Criteria

64
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. 1996.
• Novak 2000 Joseph D. Novak The Theory
  Underlying Concept Maps and How To Construct
  Them, http//cmap.coginst.uwf.edu/info/. 1996.
• Staab 2000 Steffen Staab Intelligente
  Techniken für das Wissensmanagement Knowledge
  Management Tutorial, Wissensmanagement 2001
  Conference, Baden-Baden, Germany,
  http//www.aisb.uni-karlsruhe.de/sst.

65
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

66
Summary Chapter-Topic
67
(No Transcript)