© 2001-2003 Franz J. Kurfess Knowledge Management Tools 1 CPE/CSC 580: Knowledge Management Dr....

© 2001-2003 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 Tools for Specific KM Tasks Outlook Tools 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

SAP Knowledge WarehouseIHMC Concept Maps80-20 DiscoveryAssistumKnowledge Structure Manager (KSM)CokaceIdea Processor


KM ToolsKM Tools

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

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]

Knowledge Discovery Tools

Collect

Extract(Alembic)

Sources

Summarize(WebSumm)

Cluster/Mine(QueryFlocks)

Collaborate(KEAN, Scout,

ExpertFinder, XperNET)

Translate(CyberTrans)

Browse/Visualize(GeoNODE)

Monitor(SIAM)

Disseminate/Retrieve(TIDES, QANDA)

[Maybury 2001]


SAP Knowledge WarehouseSAP Knowledge Warehouse

knowledge management solution integrated with other SAP products in particular R/3

main functionality Web check-in, authoring, editing document modeling workbench performance assessment workbench integration with document management system connection with business workflows

[SAP 2000]


SAP Knowledge PortalSAP Knowledge Portal

[SAP 2000]


Knowledge Portal DiagramKnowledge Portal Diagram

[SAP 2000]


Knowledge Warehouse DiagramKnowledge Warehouse Diagram

[SAP 2000]


SAP Knowledge ManagementSAP Knowledge Management

[SAP 2000]


Knowledge Warehouse Screen ShotKnowledge Warehouse Screen Shot

[SAP 2000]


Knowledge Warehouse ConfigurationKnowledge Warehouse Configuration

[SAP 2000]


KW Information ObjectsKW Information Objects

[SAP 2000]


Logical vs. Physical ObjectLogical vs. Physical Object

[SAP 2000]


Versioning for Info ObjectsVersioning for Info Objects

[SAP 2000]


Knowledge Management CycleKnowledge Management Cycle

[SAP 2000]


Knowledge Warehouse ContextKnowledge Warehouse Context

[SAP 2000]


Integration with Human ResourcesIntegration with Human Resources

[SAP 2000]


Knowledge Warehouse Mind MapKnowledge Warehouse Mind Map

[SAP 2000]


OpenText LiveLinkOpenText LiveLink

collaborative environment for the development of Web-based knowledge repositories

components and services document and content management information retrieval virtual team collaboration enterprise group scheduling business process information

[LiveLink 2000]


LiveLink User InterfaceLiveLink User Interface

[LiveLink 2000]


LiveLink ArchitectureLiveLink Architecture

[LiveLink 2000]


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 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


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 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]


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 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

[Cuena, 2000]


KSM Knowledge Area ViewKSM Knowledge Area View

[Cuena, 2000]


KSM Hyperbolic ViewKSM Hyperbolic View

[Cuena, 2000]


KSM Task PerspectiveKSM Task Perspective

[Cuena, 2000]


Problem FormulationProblem Formulation

[Cuena, 2000]


KSM EvaluationKSM 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


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

diagrams screen shots application examples


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

scopefunctionalityintegration


user interfaceperformancegood aspectslimitations


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

integration within the set with outside systems



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

integration within the set with outside systems



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.

[Maybury 2001] Joseph T. Maybury: “Knowledge On Demand: Knowledge and Expert Discovery”, Wissensmanagement 2001 Conference, Baden-Baden, Germany.

[Novak 2000] Joseph D. Novak: “The Theory Underlying Concept Maps and How To Construct Them”, http://cmap.coginst.uwf.edu/info/. 1996.

[SAP 2000] SAP AG “Introducing Knowledge Management with mySAP.com” http://www.sap-ag.de/solutions/bi/km/.

[OpenText 2001] OpenText “LiveLink Product Overview” http://www.opentext.com/livelink/.

[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 reasoning knowledge representation


Summary KM ToolsSummary KM Tools

© 2001-2003 Franz J. Kurfess Knowledge Management Tools 1 CPE/CSC 580: Knowledge Management Dr....

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