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Spatial data web application in Suppliy Chain Management

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Spatial data web application in Suppliy Chain Management

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Spatial data web application in Suppliy Chain Management

  1. 1. Spatial Data Web Application in Supply Chain Management René Pietzsch September 15 2015
  2. 2. Outline • About&eccenca • Motivation • Data&Flow • Demo:&Influence&of&weather&on&shipping&reliability 2
  3. 3. Who we are 3 brox%IT(Solutions%GmbH Gegründet:& 1998 Fokus: ITDConsulting IPR: Initiierung/Leitung&eclipse.org/SMILA eccenca&Enterprise&Search Key&Accounts: Volkswagen,&Audi,&Skoda,&MAN Telekom,&Daimler,&Bosch,&Siemens, Continental,&Lecos Umsatz&2014: >&3&mioEuro AKSW%– Universität%Leipzig &&Fraunhofer&IAIS Führende&Linked&Data&Forschungseinheit&in Europa.&Initiator&des&nationalen&Industrial&Data& Space Initiator: DBPedia,&Linked&GeoData&etc. Betreiber:& Datenportal&der&EUDKommission TeamDLeitung:& Prof.&Dr.&Sören&Auer eccenca%GmbH Gründung: 2013 Fokus: Produkte/Lösungen Team&Size: 12 IPR: Linked&Data,&M2N&Synchronization, Linking,&Authentication/Data&Security Kunden: Volkswagen,&Daimler,&&Telekom,&Bosch,&WDR, Continental,&Bosch,&Samsung F&E&Projekte: LUCID,&E12,&GeoKnow,&Diachron,&… Initiativen: MOBIVOC,&OSFP… command& your&data!
  4. 4. eccenca offers full Tool Support of the Linked Data Lifecycle 4 • Extraction&/&Mapping • Storage&/&Querying • Manual&Revision&/&Authoring • Linking&/&Fusion • Classification&/&Enrichment • Quality&/&Evolution • Search&/&Browse&/&Explore Interlinking/+ Fusing Classification/+ Enrichment Quality+ Analysis Evolution+ /+Repair Search/+ Browsing/+ Exploration Extraction Storage/+ Querying Manual+ revision/+ authoring Virtuoso Quad&Store Virtuoso Sponger eLDS UI&Framework eLDS Repair eLDS UI&Framework eLDS Backend eLDS Data%Manager eLDS Data&Integration eLDS Ontology&Learner eLDS RDB(2(RDF eLDS Data&Manager eLDS&NLP Core&eccenca&USPs: • Provenance& Tracking • Graph&Replication • Data&Mapping • Versioning • Access&Control
  5. 5. eccenca Linked Data Suite 5 Extraction Alignment Cleansing& Linking Editing Browsing Querying PublishingSynchronizing Access&&&User&Rights&Management Scalable&Infrastructure eLDS%Backend eLDS%Data%Integration Vocabulary Personalized&Sharing eLDS%Data%Sharing eLDS%Data Manager
  6. 6. eccenca Linked Data Suite Architecture 6
  7. 7. Motivation for the Supply Chain Use Case • Visibility&and&transparency&in&the&information&flows&of&these&huge&supply&chain&networks&is& a&real&challenge. • Large&manufacturers&have&many&thousands&of&suppliers. • A&unified&data&flow&is&currently&challenging&due&to:& – Heterogeneous&distributed& systems& – Dated&data&exchange&formats&and&standards&(e.g.,&EDI) – NonDconformance&to&the&standards • A&promising&technology&for&increasing&transparency&in&supply&chain&networks&is&Linked& Data. 7
  8. 8. Supply Chain Dashboard • Powered&by&eccenca&Linked&Data&Suite • Work&supported&by&the&GeoKnow&EU& FP7&Project • Supply&Chain&Visualization& • Simulation&Environment • Supplier&Score&Card&and&Metrics& Editor • Linking&with&external&Data 8
  9. 9. Integrating Background Knowledge • Historical&and&current&weather& information&are&integrated • Weather&and&supply&chain&related& queries&can&be&issued&via&SPARQL • News&and&social&media&streams&are&to& be&integrated&as&sources&for&additional& background&knowledge 9
  10. 10. Xybermotive Integration • Prove&of&concept&for&integration&with&the&commercial& web&EDI&solution&xybermotive • Data&exchange&via&LUCID&dataDendpoints&forming&a& value&chain&network • Real&time,&securely&encrypted&and&certificate&based& exchange&of&arbitrary&company&data&(in&our&case& inventory&information) 10 http://data.aaa.de http://data.ddd.de http://data.ccc.de http://data.bbb.de
  11. 11. Xybermotive Integration 2 11 • POC&demonstrates&exchange&of& inventory&data • It&allows&for&searching&alternate& supplier&in&the&whole&supply&chain& network&based&on&that&data
  12. 12. Data Sources and Data Flow 12
  13. 13. Data Conversion to RDF Two&input&sources: • Internal:&Exchanged&EDI&messages – Conversion&to&a&controlled&RDF&vocabulary • External:&External&data&sets – Background&knowledge 13
  14. 14. EDI Conversion • Conversion&of&common&EDI&message&types 14
  15. 15. eccenca RDB2RDF • RDB2RDF&is – a&flexible&query&rewriting& engine – based&on&W3C’s&R2RML& – useable&as&ETLDTool&or& SPARQL&server • Exposes&relational&data&to& a&Linked&Data&Layer • Used&for&converting&EDI& messages&and&external& data&sets 15
  16. 16. Linked Data Integration • Separate&EDI&messages&become&a&connected&RDF&graph – e.g.&shippings contain&links&to&corresponding& orders • External&data&sets&can&be&integrated&as&background&knowledge – e.g.&weather&statistics • Individual&original&datasources can&be&queried&and&analyzed&as&a&single&source • Schema&can&grow&and&be&extended&as&needed,&adapting&established&standard&vocabularies& or&custom&domain&designs 16
  17. 17. Supplier Score Card • A&supplier&score&card&allows&the&performance& assessment&of&each&supplier&based&on&various&metrics • Supplier&scores&are&evaluated&onDtheDfly&based&on& historic&and&currently&incoming&supply&chain&messages • Goal:%Support%decision%making%in%supply%chain% management 17
  18. 18. eccenca Data Integration • Integrates&a&set&of&heterogeneous&data&sources&into&a&single&consistent&linked&data&set: – Translates&data&sources&with&different&schemata&to&a&consistent&RDF&schema (Mapping) – Generates&links&between&related&entities&(Linking) – Transformation&rules&clean&or&enrich&existing&data&(RDF2RDF&Transformation) 18
  19. 19. Rule-driven Integration • The&integration&process&is&driven&by&a&set&of&rules – Linking&Rules – Transformation&Rules – Scoring%Rules%/%(KPI)%Calculations%/%Data%Aggregations% • Intuitive&graphical&rule&editor • Allows&detailed&evaluation&of&each&rule • MachineDlearning&of&rules&possible,&e.g.&for&optimization 19
  20. 20. Scoring Rules Editor • Performance&metrics&are&userDdefined • A&visual&builder&allows&the&specification&of&performance&metrics&through&an&intuitive& interface • Performance&metrics&may&utilize&integrated&information 20
  21. 21. Example: Perfect Order Fulfillment • For&each&order:&shipping&must&be&complete&and&on&time. 21
  22. 22. Analytics • Final&Step:&Analytics • RapidMiner with&LOD&extensions – RapidMiner is&a&tool&for&machine&learning,&data&mining,& text&mining,& predictive&analytics&and& business&analytics – LOD&extensions&developed& by&University&of&Mannheim& • Use&of&other&BIDtools&possible&(via&SPARQL&endpoint&or&CSV) 22
  23. 23. Analytics 23
  24. 24. Summary • Traditional&supply&chain&analytics&systems&mostly&include&information&that&can&be& measured&and&collected&by&the&assessor&(e.g.&the&manufacturer)&themselves. • We&presented&an&integrated&data&integration&tool&that&allows&the&user&to&connect&internal& supply&chain&data&with&external&data&sources,&such&as&official&statistical&data&sets. • UserDdefined&performance&metrics&may&utilize&this&additional&information&provided&by& external&data&sets&and&enable&a&more&comprehensive&view&of&the&supply&chain. • A&reporting&component&allows&the&user&to&drillDdown&into&supplier&scores&and&visualize& scores&by&various&dimensions.&Results&can&also&be&exported&for&use&in&external&BIDtools. • Corporate&Memory&approach&outlines&our&future&development&to&build&a&semantic&layer& linked&to&a&big&data&infrastructure&(data&lake)&to&help&tackling&datasets&management&and& data&transparency&needs. 26
  25. 25. Demo 27
  26. 26. Questions 28
  27. 27. Hans(Chr.%Brockmann Geschäftsführer Neumarkt&20 DD04107&Leipzig +49.511.336528D10 +49.511.336528D9810 +49.173.36986&D 10 brockmann@brox.de www.eccenca.com eccencaCommand your Data! Contact René Pietzsch Tel: +49 172 6940915 email: rene.pietzsch@eccenca.com eccenca GmbH subsidiary of brox IT-Solutions GmbH 29

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