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UTD CS 7301 - LECTURE NOTES

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Slide 1Outline of the UnitWhat is Knowledge ManagementKnowledge Management ComponentsKnowledge ModelsSlide 6Slide 7Slide 8Slide 9Slide 10Knowledge Management: Strategies, Processes, Metrics and ToolsKnowledge Management ArchitectureKnowledge Exchange & Annotation Engine (KEAN)The Three Versions of KEAN ArchitectureStructure of Version 1 - Beta Version of KEANStructure of Version 2Structure of Version 3Secure Knowledge ManagementTrust Management and NegotiationKnowledge Management for CoalitionsStatus and DirectionsSemantic E-BusinessTopic for Lecture #14Trustworthy Semantic WebLecture #13 Knowledge Management + E-Business + Semantic Web = Semantic E-BusinessDr. Bhavani ThuraisinghamOctober 2, 3006201/14/19 01:06 Outline of the Unit0What is Knowledge Management?0Basic concepts: Components and Models0Organizational Learning Process0Knowledge Management Architecture0Secure Knowledge Management and Trust Negotiation0Knowledge Models0Directions0Integration of KM with E-Business and Semantic Web0Topic for lecture #14301/14/19 01:06 What is Knowledge Management0Knowledge management, or KM, is the process through which organizations generate value from their intellectual property and knowledge-based assets0 KM involves the creation, dissemination, and utilization of knowledge0Reference: http://www.commerce-database.com/knowledge-management.htm?source=google401/14/19 01:06 Knowledge Management ComponentsComponents:StrategiesProcessesMetricsCycle:Knowledge, CreationSharing, Measurement And ImprovementTechnologies:Expert systemsCollaborationTrainingWebComponents ofKnowledge Management: Components,Cycle and Technologies501/14/19 01:06 Knowledge Models0Level 1: Highest Level-Mental models utilized by psychologists-Social models (e.g. social network models) used by sociologists0Level 2: Mid-level-Models utilized by expert systems-Process modeling0Level: Bottom level-Models understood by machines-E.g., rule-based, frame-based, etc.601/14/19 01:06 Identification CreationDiffusion - Tacit, ExplicitIntegration ModificationActionOrganizational Learning ProcessMetricsSource: Reinhardt and PawlowskyIncentivesalso see: Tools in Organizational Learninghttp://duplox.wz-berlin.de/oldb/forslin.html701/14/19 01:06 Six Principals of Effective Learning•Effective Learning Requires:-Understanding1) Mental models, paradigms, context, observation, assumptions, opinion, fact, truth2) Systems Thinking - Variation -Skills3) Ability to challenge assumptions 4) Listen to Understand-Process5) Complete observe, assess (reflection, gain understanding), design (develop theory, prediction, vision), implement (test), cycle6) Teach others801/14/19 01:06 Knowledge Management Metrics - The Goal of Metrics-Measuring Success (How am I doing?)-Benchmarking (How am I comparatively doing?)-Tracking Improvement (Am I getting better?)-Direct -future investment (technology, employees)-strategy -alignment (culture, incentives)“One way to ensure your doing worse is to not measure” - Adapted from Pressman901/14/19 01:06 Learning By-Product Measures-Papers in Competitive Journals and Magazines-Percentage New Technology compared to all Technology-Process Cycle Time-Employee Surveys-Involvement with decisions-Recognition for work achieved-Access to information-Rewarding risk taking-Overall Satisfaction-Employee Retention -‘Employee Suggestion Process1001/14/19 01:06 Knowledge Management: Incentive-based ApproachesReceiverPositive Incentives • Knowledge Gained• Can teach others what is learnedTeacherPositive Incentives • “Knowledge Transfer Champion” prestige•Can improve knowledgeNegative Incentives•Time•Unqualified teacherNegative Incentives•Time•Students not willing to learn1101/14/19 01:06 Knowledge Management: Strategies, Processes, Metrics and ToolsKnowledge Management: Within and Across Corporations and AgenciesStrategiese.g., Management Plans; Policies;Data sharing vs. PrivacyProcessese.g., best practicesMetricse.g., web usageToolse.g., Semantic Web1201/14/19 01:06 Knowledge Management ArchitectureKnowledge Creation and Acquisition ManagerKnowledge RepresentationManagerKnowledge ManipulationManagerKnowledge Dissemination and SharingManager1301/14/19 01:06 Knowledge Exchange & AnnotationEngine (KEAN)-Resides on any web-accessible knowledge base (any intranet, www)-Increases incentive to share information-Author gets positive and negative feedback about information that is submitted-Feedback system - no more publishing documents that disappear into the ether-Prestige - top rated document views-Quality filters steer user towards best information-Domain specific instances of KEAN are created-Works with Java enabled browser1401/14/19 01:06 The Three Versions of KEAN Architecture-Version 1 “beta version”-No reuse-Two-tiered -Stored procedures-Version 2 “newest version”-GUI reuse via JavaBeans-Two-tiered -JDBC access to database-Version 3 “final version”-Logic reuse via Enterprise JavaBeans (EJB)-Three-tiered-CORBA access to objects1501/14/19 01:06 Structure of Version 1 - Beta Version of KEAN “Thin http” client•Html•JavaScript•AppletsStored Procedures(PL/SQL)Database tier•ORACLEORACLE WEBSERVER1601/14/19 01:06 Structure of Version 2 “Thick” clientDatabase tier•KeanBeans•ORACLEJDBCCode reuse with a two tier architecture ORACLE WEBSERVER1701/14/19 01:06 Structure of Version 3 “thin” client middle tier server tier•KeanBeans CORBA ORB RDBMSs and OODBMSweb Server•EJB1801/14/19 01:06 Secure Knowledge Management0Protecting the intellectual property of an organization0Access control including role-based access control0Security for process/activity management and workflow-Users must have certain credentials to carry out an activity0Composing multiple security policies across organizations0Security for knowledge management strategies and processes0Risk management and economic tradeoffs0Digital rights management and trust negotiation1901/14/19 01:06 Trust Management and Negotiation0Design a Trust Model-Investigate the current trust models. Identify the inadequacies of current trust models and design a model for the semantic web/DIVO=Components include trust management, trust negotiation as well as economic tradeoffs0Design a Language for specifying Trust policies-Start with XML, RDF and Web Rules language and incorporate features for trust management and negotiation 0Design and develop techniques for


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