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UML for developing knowledge management systems

UML for developing knowledge management systems

Material type
단행본
Personal Author
Rhem, Anthony J.
Title Statement
UML for developing knowledge management systems / Anthony J. Rhem.
Publication, Distribution, etc
Boca Raton, FL :   Auerbach ,   2006.  
Physical Medium
xvii, 269 p. : ill. ; 25 cm.
ISBN
0849327237
Bibliography, Etc. Note
Includes bibliographical references (p. 257-258) and index.
Subject Added Entry-Topical Term
Knowledge management -- Data processing. UML (Computer science)
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005 20061113103633
008 050603s2006 flua b 001 0 eng
010 ▼a 2005049920
020 ▼a 0849327237
035 ▼a (KERIS)BIB000010257609
040 ▼a DLC ▼c DLC ▼d DLC ▼d 211048 ▼d 244002
042 ▼a pcc
050 0 0 ▼a HD30.2 ▼b .R52 2005
082 0 0 ▼a 658.40380285 ▼2 22
090 ▼a 658.40380285 ▼b R469u
100 1 ▼a Rhem, Anthony J.
245 1 0 ▼a UML for developing knowledge management systems / ▼c Anthony J. Rhem.
260 ▼a Boca Raton, FL : ▼b Auerbach , ▼c 2006.
300 ▼a xvii, 269 p. : ▼b ill. ; ▼c 25 cm.
504 ▼a Includes bibliographical references (p. 257-258) and index.
650 0 ▼a Knowledge management ▼x Data processing.
650 0 ▼a UML (Computer science)

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Sejong Academic Information Center/Social Science/ Call Number 658.40380285 R469u Accession No. 151217136 Availability Available Due Date Make a Reservation Service C

Contents information

Table of Contents

IntroductionNotes Knowledge Management Overview Knowledge Value Knowledge-Value Tree Knowledge Management Systems Knowledge AcquisitionKnowledge Acquisition ProcessWhat is Knowledge? Declarative Knowledge Declarative Knowledge LearningDeclarative Knowledge Representation Gathering Declarative KnowledgeMethods for Eliciting Declarative Knowledge Procedural KnowledgeProcess MapsProcess Defined Capturing Procedural KnowledgeDeclarative and Procedural KnowledgeDeclarative Knowledge and Procedural Knowledge DifferenceTacit Knowledge Varieties of Tacit Knowledge Tacit Knowledge and Explicit BeliefTacit Knowledge CaptureTacit Knowledge as a Source of Competitive AdvantageExplicit Knowledge Literature Capturing Explicit Knowledge for Knowledge Management Systems Business Value of Acquired KnowledgeProcess Knowledge and Concept Knowledge Process KnowledgeProcess Knowledge ApplicationsConcept Knowledge Functions of Concepts in Artificial Autonomous AgentsRepresentation of Concepts The Classical ViewNonclassical ViewsDiscussionThe Idea of a Composite StructureHow Should the Components be Represented?Case-Based Reasoning Case-Based Problem SolvingFundamentals of Case-Based Reasoning Methods Case-Based Reasoning Problem Areas Representation of Cases The Dynamic Memory Model Knowledge Modeling Concepts Instances Processes (Tasks, Activities)Attributes and ValuesRulesRelationships (Relations) Knowledge ObjectsKnowledge Base Object Review Common Problems Knowledge Models Network Diagrams Conditions, Actions, and Events Tables and GridsForms FramesTimeline Matrix Decision TreesUML - An Introduction A Brief History Use Case DiagramActor Relationships Activity Flow Diagram Statechart Diagram Collaboration DiagramClass Diagram Object Diagram Knowledge Modeling with UMLUML Applied to Knowledge ModelsUML to Create Knowledge Models Concept Map Process Map State Transition Network Decision TreesDefining a Knowledge Acquisition FrameworkKnowledge Acquisition WorkflowArchitecture DesignNotional Output to User Probing Questions Knowledge Acquisition Framework User Decomposing the Knowledge Acquisition Task Business Case: Department of Motor Vehicles ReportingSystemDMV Reporting System OverviewBusiness Scenarios Approach Applying Your Knowledge Framework Determine Domain Area Decompose the KnowledgeDetermine Interdependencies Recognize Knowledge Patterns Determine Judgments in Knowledge Perform Conflict Resolution Construct the Knowledge Management System DMV Knowledge Models Summary Establish Your Framework Knowledge ModelingBenefits Current Environment Knowledge Acquisition Tools AppendicesA Probing Questions B Glossary C References


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