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Integration of Practice-Oriented Knowledge Technology: Trends and Prospectives Madjid Fathi (Ed.) Integration of Practice-Oriented Knowledge Technology: Trends and Prospectives ABC Editor MadjidFathi ProfessorandDirector InstituteforKnowledgeBasedSystems&KnowledgeManagement ResearchCenterforKnowledgeManagementandIntelligentSystems UniversityofSiegen Siegen Germany [email protected] ISBN978-3-642-34470-1 e-ISBN978-3-642-34471-8 DOI10.1007/978-3-642-34471-8 SpringerHeidelbergNewYorkDordrechtLondon LibraryofCongressControlNumber:2012950328 (cid:2)c Springer-VerlagBerlinHeidelberg2013 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartof thematerialisconcerned,specificallytherightsoftranslation,reprinting,reuseofillustrations,recitation, broadcasting,reproductiononmicrofilmsorinanyotherphysicalway,andtransmissionorinformation storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodology nowknownorhereafterdeveloped.Exemptedfromthislegalreservationarebriefexcerptsinconnection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’slocation,initscurrentversion,andpermissionforusemustalwaysbeobtainedfromSpringer. PermissionsforusemaybeobtainedthroughRightsLinkattheCopyrightClearanceCenter.Violations areliabletoprosecutionundertherespectiveCopyrightLaw. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant protectivelawsandregulationsandthereforefreeforgeneraluse. Whiletheadviceandinformationinthisbookarebelievedtobetrueandaccurateatthedateofpub- lication,neithertheauthorsnortheeditorsnorthepublishercanacceptanylegalresponsibilityforany errorsoromissionsthatmaybemade.Thepublishermakesnowarranty,expressorimplied,withrespect tothematerialcontainedherein. Printedonacid-freepaper SpringerispartofSpringerScience+BusinessMedia(www.springer.com) Preface Scientific network of Integrated Systems, Design and Technology (ISDT) is an initiative that has been established to respond industrial needs for integration of “KnowledgeTechnology”(KT)withmulti-andinter-disciplinaryapplications.In particulartheobjectiveofISDTistoincorporatemultilateralengineeringdisciplines i.e. Composite-, Automotive-, Industrial- , Control- and Micro-Electronics Engi- neering,andderiveknowledgefordesignanddevelopmentofinnovativeproducts and services. In this context, the discourse of KT is established to address effec- tiveuseofKnowledgeManagement,SemanticTechnologies,InformationSystems andSoftwareEngineeringtowardsevolutionofadaptiveandintelligentsystemsfor industrialapplications. Naturally,thepointofviewonanykindofintegrationconfrontsseveralobstacles onmanagingofHumanResource(HR),technicalresourcesandInformationTech- nology(IT)infrastructures.Thereisaneedtoathink-tankandcooperativeresearch ontheconceptual,systematical,andtechnologicalaspectsofintegrationaswellas feasibility study on potential mediums of application. In this era, ISDT is estab- lishedsince2007basedonindicationofagapbetweenKTscientistsandindustrial practitioners. Furthermore,integrationshouldbecriticallyseen,especiallyforin-housedevel- opment of robust and adaptive solutions and further adaptation. Thus, reusability and adaptivity are the major challenges. In this context, the primary aspect is to investigatepossibilitieswhichenableustointegratemulti-domainintellectualcapi- talsasorganizational,technologicalorhumancapitalsindistinctiveresearchfields. Interdisciplinary research encompasses identifying the potential of each field and alsotheneedsforimprovement.Sucheffortfacilitatestheentireprocessfordevel- opment and transfer of innovation among inter- or intra-organizationalstakehold- ers. In ISDT, we are cooperating on detection and finding adaptive solutions for bridgingindustrialchallengesbasedonintegrationofcomputerizedandintelligent methods.Intoday’sSMEsthecommonrequiredtechnologyshouldbeestablished particularly for reusing of existing values at HR and exploiting of available tools and methodsraising productionand industrialvalues.To succeedin this competi- tionandachievesustainablemarketingstrategies,selectedKT componentsshould VI Preface be taken into use, namely knowledge modeling, representation, discovery, and delivery, as well as semantic and decision-making algorithms and data analytics. The commonattribute in this matter is “Knowledge”for reasoning (i.e. reasoning underuncertainty),anddecision-making.Reasoningunderuncertaintyrequireshan- dlinguncertainknowledgeanddiscoveringhiddenrelationsbetweenknowledgeat- tributes to increase the usability of decision-making.In sum, KT concentrates on conceptualsolutionsthat enable the usage and further developmentof knowledge based techniques and methods to support human behavior like decision-making, learning, planningor controlling.In our understanding,the entire goal of integra- tionistosustainefficientmanagementofHRandincreaseonreturnofinvestment inSMEs. InthelatestISDTmeeting,wehavesuccessfullydiscussedthementionedissues and agreed for constituting and concretizing the discourse of KT integration with special involvementof leading researchers and industrial experts whose contribu- tionsarepresentedinthebookchapters.Thisbookconsistsofthreemainchapters, namely: (cid:129) Chapter1:AppliedKnowledgeManagementinPractice (cid:129) Chapter2:SemanticTechnologiesforIndustrialManagementandProcess Controlling (cid:129) Chapter3:KnowledgeDrivenApproachesforProductEngineering In addition, each article presents a unique in-progress research with respect to the targetgoal of integration.All articles have been double blind reviewed with a domain-specificexpert,andpublishedasabookchapter. I honestly hope that this edition of ISDT publication leads to improve our common understanding of KT integration and promotes further researches and cooperationinfuture. Siegen,September2012 MadjidFathi Associated Reviewers for Blind Review Process Prof.F.Sassani UniversityofBritishColumbia,Canada Prof.A.G.Hessami VegaSystems,U.K. Prof.M.H.AbdShukor UniversityofMalaya,Malaysia Prof.M.Saif UniversityofWindsor,Canada Prof.U.Kelter UniversityofSiegen,Germany Prof.C.Bratianu AcademyofEconomicStudies,Romania Prof.M.Abramovici Ruhr-Universita¨tBochum,Germany Prof.H.Garmestani GeorgiaInstituteofTechnology,U.S.A Prof.R.Bru¨ck UniversityofSiegen,Germany Prof.A.Ga´bor CorvinnoTechnologyTransferCenter,Hungary Prof.S.Nahavandi DeakinUniversity,Australia Prof.D.Gerhard ViennaUniversityofTechnology,Austria Prof.U.Seidenberg UniversityofSiegen,Germany Prof.R.Talebi-Daryani CologneUniversityofAppliedSciences,Germany Dr.S.T.Mol UniversityofAmsterdam,TheNetherlands Dr.R.Tafreshi TexasA&MUniversityatQatar Dr.M.Saadat UniversityofBirmingham,U.K. Dr.F.Schulz SAPAG,Germany Dr.D.Atlan PhenosystemsSA,Belgium Dr.E.Fersini UniversityofMilano-Bicocca,Italy Dr.D.Nestler ChemnitzUniversityofTechnology,Germany Dr.K.Hahn UniversityofSiegen,Germany Dr.M.Baniasadi UniversityofStrasbourg,France Dr.G.Kismiho´k BudapestUniversityofEconomicSciencesand PublicAdministration(BUESPA),Hungary Dr.A.Ghazavizadeh UniversityofStrasbourg,France Dr.H.M.Navazi SharifUniversityofTechnology,Iran Dr.R.Montino ELMOSCentralITServicesGmbH,Germany Dr.S.Berlik UniversityofSiegen,Germany Dr.U.Fischer DeutschePostAG,Germany Contents Chapter1:AppliedKnowledgeManagementinPractice NonlinearIntegratorsoftheOrganizationalIntellectualCapital ....... 3 ConstantinBratianu SemanticTechnologiesinBusinessProcessManagement ............. 17 Andra´sGa´bor,Zolta´nSzabo´ IntegratingKnowledgeManagementin the ContextofEvidence Based Learning:Two ConceptModels Aimed atFacilitatingthe AssessmentandAcquisitionofJobKnowledge...................... 29 StefanT.Mol,Ga´borKismiho´k,FazelAnsari,MareikeDornho¨fer TowardsanIntegratedPlatformforBigDataAnalysis ............... 47 Mahdi Bohlouli, Frank Schulz, Lefteris Angelis, David Pahor, IvonaBrandic,DavidAtlan,RosemaryTate Towards a Smooth E-Justice: Semantic Models and Machine Learning...................................................... 57 ElisabettaFersini,FrancescoArchetti,EnzaMessina WeavingPersonalKnowledgeSpacesintoOfficeApplications ......... 71 HeikoMaus,SvenSchwarz,AndreasDengel Simulation-BasedKnowledgeManagementinAirportOperations ..... 83 SaeidNahavandi,DougCreighton,MichaelJohnstone,VuThanhLe, JamesZhang Incremental and Interaction-Based Knowledge Acquisition forMedicalImagesinTHESEUS ................................. 97 DanielSonntag X Contents ComplexDecisionMaking toSupport UrbanSearchandRescue Operations.................................................... 109 LarsHildebrand,WolfgangVautz IntegratedModelingofTechnicalandBusinessAspectsinService Networks ..................................................... 119 Frank Schulz, Simon Caton, Wibke Michalk, Christian Haas, ChristofMomm,MarkusHedwig,MarcusMcCallister,DanielRolli TCPTrafficClassificationUsingRelaxedConstraintsSupportVector Machines ..................................................... 129 Mostafa Sabzekar, Mohammad Hossein Yaghmaee Moghaddam, MahmoudNaghibzadeh Chapter2:SemanticTechnologiesforIndustrialManagement andProcessControlling NextGenerationProductLifecycleManagement(PLM).............. 143 MichaelAbramovici,YoussefAidi TheRoleofSemanticTechnologiesinFuturePLM .................. 157 DetlefGerhard Use Case of ProvidingDecision Support for ProductDevelopers inProductImprovementProcesses................................ 171 MichaelAbramovici,AndreasLindner,SusanneDienst MachineFaultDiagnosisUsingMutualInformationandInformative Wavelet....................................................... 183 RezaTafreshi,FarrokhSassani,HosseinAhmadi,GuyDumont Simulation-BasedParameterIdentificationforOnline Condition MonitoringofSpindleNutDrive.................................. 193 MahdiMottahedi,SaschaRo¨ck,AlexanderVerl On Designing a Unified Ontology for Holonic Manufacturing Networks ..................................................... 207 GiouvanniDe´sire´ Jules,MozafarSaadat,NanLi Application Specific Process Development for MEMS Design andFabrication................................................ 221 RainerBru¨ck,ThiloSchmidt Industrialization of Customized AI Techniques: A Long Way toSuccess! .................................................... 231 RalfMontino,ChristianWeber Contents XI ModelingtheDiffusionProcessforDevelopingOpticalWaveguides forPC-BoardIntegration........................................ 247 ThomasKu¨hler,ElmarGriese ControlandEnergyManagementofaCascadeHeatingSystemby (cid:2) FuzzyLogicControlEmbeddedintoa LONWORKS -LOCAL OperatingNetwork-System ..................................... 259 RezaT.Daryani,AlexanderRebel Chapter3:KnowledgeDrivenApproachesforProduct Engineering DiagnosticsinLithium-IonBatteries:ChallengingIssuesandRecent Achievements.................................................. 277 S.M.MahdiAlavi,M.FoadSamadi,MehrdadSaif DesignofaNanobiomaterialfromRenewableResources ............. 293 ParisaPooyan,RinaTannenbaum,HamidGarmestani TheInfluenceofAddingPorousInterlayerintheBrazingofCeramic toMetal ...................................................... 303 Mohd Hamdi, Farazila Binti Yusof, Mohd Fadzil, Tuan Zaharinie, TadashiAriga Influence ofMilling AtmosphereontheHigh-EnergyBall-Milling Process of Producing Particle-ReinforcedAluminum Matrix Composites.................................................... 315 SteveSiebeck,DaisyNestler,HarryPodlesak,BernhardWielage NumericalSimulationofScratchTestsfortheVerificationofMaterial ModelsforParticle-ReinforcedCoatings ........................... 323 TobiasMu¨ller,DaisyNestler,ThomasLampke,BernhardWielage AutomaticVariableNoiseSuppressionforLaserBasedClassification ofExplosiveMaterials .......................................... 333 JanSchlenke,LarsHildebrand PeakDetectionAlgorithmBasedonSecondDerivativeProperties forTwoDimensionalIonMobilitySpectrometrySignals.............. 341 RafaelSlodzinski,LarsHildebrand,WolfgangVautz DesignofSemiactiveDamper inVehicle Suspension Considering theTireLiftOff................................................ 355 MilosˇMusil,FerdinandHavelka AuthorIndex ..................................................... 367 Chapter 1 Applied Knowledge Management in Practice

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