Table Of ContentIntegration 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
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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
