© 2001 franz j. kurfess knowledge management tools 1 cpe/csc 580: knowledge management dr. franz j....

© 2001 Franz J. Kurfess Knowledge Management Tools 1

CPE/CSC 580: Knowledge Management

CPE/CSC 580: Knowledge Management

Dr. Franz J. Kurfess

Computer Science Department

Cal Poly


Course OverviewCourse 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


Overview Knowledge Management Tools

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


LogisticsLogistics

Introductions Course Materials

textbook handouts Web page CourseInfo/Blackboard System and Alternatives

Term Project Lab and Homework Assignments Exams Grading


Bridge-InBridge-In


Pre-TestPre-Test


MotivationMotivation


ObjectivesObjectives


KM ToolsKM Tools

IHMC Concept Maps80-20 DiscoveryAssistumKnowledge Structure Manager (KSM)CokaceIdea Processor


KM ToolsKM Tools

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


Tools by CategoryTools 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]


KM Tools in ContextKM Tools in Context

Knowledge Discovery Tools (Maybury, WM 2001)


IHMC Concept Maps TemplateIHMC Concept Maps Template

IHMC Concept Map SoftwareInstitute for Human and Machine Cognition,

University of West Floridahttp://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]


Concept Maps DescriptionConcept 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/]


Concept Maps Concept MapConcept Maps Concept Map



Concept Map ExampleConcept Map Example



Concept Map Example 2Concept Map Example 2



Concept Maps EvaluationConcept 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


80-20 Discovery Template80-20 Discovery Template

Discovery80-20, Authorhttp:www.80-20.com/products/discoveryenhanced search engine for internal data basesComponents


80-20 Discovery Description80-20 Discovery Description

features natural language query parsing web browser as interface

diagramsscreen shotsapplication examples


80-20 Discovery Screen Shot80-20 Discovery Screen Shot

[Discovery]

[Screenshot and annotations by Chris Newman]


80-20 Discovery Evaluation80-20 Discovery Evaluationmain 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 aspectslimitations


Assistum TemplateAssistum Template

Products: Assistum Knowledge ToolOrganization: Assistum.comhttp://www.assistum.comPurpose

enables the user to create or modify knowledge bases to assist their decision-making

Components Assistum Viewer Assistum Knowledge Editor

[Assistum.com]


Assistum DescriptionAssistum 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/javademo.html requires Java-capable browser

[Assistum.com]


Assistum ExampleAssistum Exampleknowledge network about price increase

[Assistum.com]


Assistum ExampleAssistum Example

reasoning for price increase

[Assistum.com]


Assistum EvaluationAssistum Evaluationscope

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]


Knowledge Structure Manager (KSM)

Knowledge Structure Manager (KSM)

Name of the Tool SetJose 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.htmlPurpose

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


KSM DescriptionKSM Descriptiongoal

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



KSM Knowledge Area ViewKSM Knowledge Area View


KSM Hyperbolic ViewKSM Hyperbolic View


KSM Task PerspectiveKSM Task Perspective


Problem FormulationProblem Formulation


KSM EvaluationKSM Evaluation

scopefunctionalityintegration

within the set with outside systems

user interfaceperformancegood aspectslimitations

seems to be most appropriate for AI knowledge engineering tasks, not so much for knowledge management


CokaceCokace

Cokace, WebCokaceOlivier.Corby, INRIA, Sophia Antipolis, Francehttp://www-sop.inria.fr/acacia/Cokace/cokace.htmlPurpose

environment for the conceptual modelling language CML of the CommonKADS methodology

Components


Cokace DescriptionCokace 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



Cokace ExampleCokace Example

ontology produced on-line by WebCokace labels are lost

[WebCokace]


Cokace EvaluationCokace Evaluation

development tool for CommonKADS methodologyfunctionalityintegration


user interface Web-based (WebCokace)

good aspects knowledge engineering support

limitations mainly for knowledge engineering purposes


Idea ProcessorIdea Processor

Idea ProcessorA-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


Idea Processor DescriptionIdea 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]


Idea Processor ExampleIdea Processor Example

site map generated with Idea Processor technology

[A-I-A Site Map]


Idea Processor EvaluationIdea 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


Tool Set TemplateTool Set Template

Name of the Tool SetOrganization, AuthorURLPurposeComponents


Tool Set DescriptionTool Set Description

further detailsdiagramsscreen shotsapplication examples


Tool Set EvaluationTool Set Evaluation





Autonomy TemplateAutonomy Template



MindMap TemplateMindMap Template



Verity TemplateVerity Template



Practicity TemplatePracticity Template

PracticityOrganization, AuthorURLweb-based knowledge sharing environmentPracticity web server, web browser as clients



features captures interactions between users participating in a

“community of practice” contents and contexts of interactions stores interactions in a cet\ntral knowledge base



Tool Set EvaluationTool Set Evaluationmain emphasis on capturing of knowledge through interactionsfunctionality

knowledge capture, access dtSearch for text-based search




Groove TemplateGroove Template

GrooveGroove Networks, Ray Ozzie (Lotus Notes

developer)URLP2P groupware for direct interaction among users

collaboration, communication, sharing information

Components



features shared spaces are used for storing and accessing

knowledge users share spaces through accounts



Tool Set EvaluationTool Set Evaluationscope

main emphasis on sharing of informationfunctionality

communication chatting, messages, discussion forums

collaboration net meetings, outlines, drawing,

coordination calender




Post-TestPost-Test


ReferencesReferences [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.


Important Concepts and TermsImportant 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


Summary Chapter-TopicSummary Chapter-Topic

© 2001 franz j. kurfess knowledge management tools 1 cpe/csc 580: knowledge management dr. franz j....

Documents

u outlook tools u subtopic

tasks u subtopic

categorization u ontologies

u important concepts

tool sets u subtopic

knowledge park visualization

terms u chapter summary

tools study