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Distributed Imprecise Design Knowledge on the Semantic Web

Distributed Imprecise Design Knowledge on the Semantic Web. Julian R. Eichhoff 1 and Univ.-Prof . Dr.- Ing . Wolfgang Maass 2 1 Furtwangen University, Furtwangen , Germany julian.eichhoff@hs-furtwangen.de 2 Saarland University, Saarbrücken , Germany

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Distributed Imprecise Design Knowledge on the Semantic Web

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  1. Distributed ImpreciseDesign Knowledgeon theSemantic Web Julian R. Eichhoff1and Univ.-Prof. Dr.-Ing. Wolfgang Maass2 1Furtwangen University, Furtwangen, Germany julian.eichhoff@hs-furtwangen.de 2 Saarland University, Saarbrücken, Germany wolfgang.maass@iss.uni-saarland.de

  2. Motivation: Support Lead-Qualificationfor Solution Selling Solution Selling: offercustomizedproductsandservices, whichmeetcustomer'sindividualbusinessneeds Goals Goods Solution Implementation Constraints Services Requirementsdefinition Customization& integration Postdeploymentsupport Deployment Lead Qualification ImplementedSolution Projection: Whichgood/servicebundlesmayserveasa solution? Salesperson cf. Tuli, K.R., Kohli, A.K., Bharadwaj, S.G.: Rethinking Customer Solutions: FromProduct Bundles to Relational Processes. J. Market. 71(3), pp. 1-17 (2007)

  3. FBS Bayesian Network (FBS-BN) DESIGN OBJECT ATTRIBUTES FunctionConcepts BehaviorConcepts StructureConcepts AdjustabilityofFloor 10 Layout ofFloor 10 Floor 10Office Being Flexiblewrt. Floor 10 Search foruncertainconcepts IsBeing Flexibleimportantforyourcustomer?yesno IsBeing Flexibleimportantforyourcustomer?yesno Project Mgmt.User Group DESIGN OBJECT COMPONENTS Answerconcepts implicitly Softw. Eng.User Group cf. Eichhoff, J.R., Maass, W.: Representationand Reuse of Design Knowledge: An ApplicationforSales Call Support. In: Konig, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds.) KES 2011, Part I. LNAI, vol. 6881, pp. 387–396. Springer, Heidelberg (2005)

  4. FBS Bayesian Network (FBS-BN) EvidencePropagation EvidencePropagation EvidencePropagation DESIGN OBJECT ATTRIBUTES Match ofand ? ( ) FunctionConcepts BehaviorConcepts StructureConcepts AdjustabilityofFloor 10 Layout ofFloor 10 Floor 10Office Being Flexiblewrt. Floor 10 Project Mgmt.User Group Evaluate differentsolutions DESIGN OBJECT COMPONENTS Assessproblem/solutionspace Softw. Eng.User Group

  5. FBS Bayesian Network (FBS-BN) DESIGN OBJECT ATTRIBUTES FunctionConcepts BehaviorConcepts StructureConcepts AdjustabilityofFloor 10 Layout ofFloor 10 Floor 10Office Being Flexiblewrt. Floor 10 Enclosure ofFloor 10 Partitionson Floor 10 Project Mgmt.User Group Distractionsof Project Mgmt. DESIGN OBJECT COMPONENTS BeingEfficientwrt. Project Mgmt. Quiet Workof Project Mgmt. DistractionsofSoftw. Eng. Softw. Eng.User Group BeingEfficientwrt. Softw. Eng. Quiet WorkofSoftw. Eng.

  6. Client Distributed UseofFBS-BN-Representations SharedRDF-Store Knowledge Reuse App. Knowledge Engineering App. I/O I/O Design Situation FBS-BN templateFor instantiates Design Knowledge ComponentIndividuals ComponentClasses FBS-Concepts Variables describe describe instancesOf connect connect connect connect reificate reificate isRelated canBeRelated FBS-Relations CPDs

  7. Distributed UseofFBS-BN-Representations attributeOf implicates implicates implicates ComponentClass Function Behavior Structure Distribution expects exhibits reflectsInfluence Of/On canBeRelatedTo parameterOf instanceOf definedAs Proability isRelatedTo Conceptualization expressesBeliefIn hasValue ComponentIndividual describedBy categorizedBy Description State Value hasSelection

  8. Future Work Evaluateprototypesempirically Test large scalenetworkinference Applymodel in different salessettings Integratemachine-learning Conceptualize and implementmoduleforexplanation of inferenceresults

  9. Questions? julian.eichhoff@hs-furtwangen.dehttp://iss.uni-saarland.de

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