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Thomas Kaleske | KN(owl)edge – the Linked Data Platform at Kuehne + Nagel

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Thomas Kaleske | KN(owl)edge – the Linked Data Platform at Kuehne + Nagel

  1. 1. KN(owl)edge The Linked Data Platform at Kuehne + Nagel Thomas Kaleske, Senior Integration Architect, Kuehne + Nagel SEMANTiCS 2016, 12-15 September 2016, Leipzig, Germany
  2. 2. p. 28/15/2016© Kuehne + Nagel SEMANTiCS 2016 Agenda Introduction and Overview Live Demo Challenges and Success Factors Q & A
  3. 3. p. 38/15/2016© Kuehne + Nagel SEMANTiCS 2016 Agenda Introduction and Overview Live Demo Challenges and Success Factors Q&A
  4. 4. Semantic Web @ Kuehne + Nagel What makes the story interesting Kuehne + Nagel’s first semantic web application will manage the incident communication for mission critical applications Semantic Web gets mission critical Top Level Management is aware about it Semantic Web is used for Global Knowledge Management p. 48/15/2016© Kuehne + Nagel SEMANTiCS 2016
  5. 5. Short History of semantic web at Kuehne + Nagel ~ 2014 Idea of Semantic Web for EAM Experiments with Protégé and semantic media wiki Oct15-Jan16 Evaluation of Semantic Web for EAM Evaluation of semantic web for incident impact analysis (student project) Feb 2016 Internal Project of the Month Internal presentation of semantic web with a prototype for incident communication Apr 2016 ”Boundaryless EAM with Semantic Web Tools” Project presentation at the Open Group London Event and Members Meeting May-July 2016 KN Semantic Web Platform Evaluation of linked data platform topics (student project) May-Dec 2016 Incident Collaboration Project Implementation of the first semantic web application at Kuehne + Nagel Sep 2016 “KN(owl)edge – the Linked Data Platform at Kuehne + Nagel” Presentation of the KN semantic web platform at the SEMANTiCS 2016 p. 58/15/2016© Kuehne + Nagel SEMANTiCS 2016
  6. 6. KN(owl)edge Databases KN(owl)edge Vision and High Level Architecture … … further KN Linked Data Sources Knowledge Engineer Semantic Faceted Search Semantic KN Glossary (Terminology) Meta Ontology Service Catalog KN(owl)edge Components Semantic Web Visualization RDF Data Import Incident Collaboration Tool Incident Impact DB … further KN Semantic Web Applications Interface Catalog KN(owl)edge Ontologies Support Directory Decision Matrix Core Ontologies Datasets Authentication SAML (SSO) Administration (ACL, …) (ORG, ARCH, ITIL) (persons, regions , customers, …) Clustered / Single Node / Mobile Triple Stores x x © Kuehne + Nagel SEMANTiCS 2016 p. 68/15/2016 RDF Access Control RDF Table Editor A..Z Person Master Data Customer
  7. 7. Incident Collaboration Tool The user story p. 78/15/2016© Kuehne + Nagel SEMANTiCS 2016 Help Desk Incident Manager Incident Collaboration Tool “The Incident Manager wants to know, whom he should inform in case of an (severity 1) incident” IT Support Super User Business Manager IT Manager Client Contact … Incident Communication Incident @ SMS
  8. 8. KN(owl)edge Ontologies Role model Use of blank nodes for N-ARY relations p. 88/15/2016© Kuehne + Nagel SEMANTiCS 2016 Role Org Unit Geo Location hasRole Person Application e.g. CEO, Board Member CIO, Board Member Super User Manager IT Sea Freight Contract Logistics Global, Global North America Germany SALOG : : withPerson
  9. 9. KN(owl)edge Components Selective key components • Semantic Faceted Search faceted search like used by modern web sites (Amazon, eBay, Linkedin, …) based on semantic web data • RDF Table Editor excel-like table editing for semantic web data (RDF) p. 98/15/2016© Kuehne + Nagel SEMANTiCS 2016
  10. 10. p. 108/15/2016© Kuehne + Nagel SEMANTiCS 2016 Agenda Live Demo Introduction and Overview Challenges and Success Factors Q&A
  11. 11. p. 118/15/2016© Kuehne + Nagel SEMANTiCS 2016 Agenda Challenges and Success Factors Introduction and Overview Live Demo Q&A
  12. 12. Key Challenges What issues did we discover semantic web experts are rare data quality JavaScript framework (there are many) blank nodes are tricky OWL model agility / generalization / partitioning / cross referencing SPARQL queries (COUNT, OPTIONAL, UNION, …) … The Undiscovered Country p. 128/15/2016© Kuehne + Nagel SEMANTiCS 2016
  13. 13. Critical Success Factors What are key things to consider Have a semantic web vision and communicate it Have management support (top level sponsor, line management support) Implement a data governance approach Be use case focused (there is no one fits all) Provide business value p. 138/15/2016© Kuehne + Nagel SEMANTiCS 2016
  14. 14. p. 148/15/2016© Kuehne + Nagel SEMANTiCS 2016 Agenda Challenges and Success Factors Introduction and Overview Live Demo Q&A
  15. 15. Thank you ! Any further questions? 8/15/2016 p. 15© Kuehne + Nagel SEMANTiCS 2016

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