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CPECSC 580: Knowledge Management

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Capture, Indexing, Search, Link Association, Graphs/Networks, Hierarchies, ... of generic tasks of Chandrasekaran and the knowledge level concept of Newell. ... – PowerPoint PPT presentation

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Title: 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
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