towards a semantic message driven microservice platform
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Towards a Semantic Message-driven Microservice Platform for Geospatial and Sensor Data Matthias Wauer and Axel-Cyrille Ngonga Ngomo AKSW Research Group, University of Leipzig, Germany Data Science Group (DICE), Paderborn University, Germany


  1. Towards a Semantic Message-driven Microservice Platform for Geospatial and Sensor Data Matthias Wauer and Axel-Cyrille Ngonga Ngomo AKSW Research Group, University of Leipzig, Germany Data Science Group (DICE), Paderborn University, Germany Wauer & Ngonga Ngomo (DICE) Semantic Message-driven Microservice Plat. . . June 3, 2018 1 / 23 June 3rd, 2018

  2. Overview 1 Motivation 2 Approach 3 Implementation 4 Evaluation 5 Related Work 6 Conclusions and Future Work Wauer & Ngonga Ngomo (DICE) Semantic Message-driven Microservice Plat. . . June 3, 2018 2 / 23

  3. Motivation Wauer & Ngonga Ngomo (DICE) Semantic Message-driven Microservice Plat. . . June 3, 2018 3 / 23

  4. Why Geiser ? Flexible integration of live data Sensor data Social media feeds Inherently related to geospatial data Location of sensor measurements Places mentioned in tweets Potential applications: Routing Geomarketing Analytics (e.g., business intelligence, predictive maintenance) Issues: Small but frequent service requests Flexible and reliable communication Scalability Wauer & Ngonga Ngomo (DICE) Semantic Message-driven Microservice Plat. . . June 3, 2018 4 / 23

  5. Use Cases Use Case 1: Data-driven Geomarketing Current situation for local businesses: Geomarketing based on static data No fine-grained dynamic adaptations Goals: Enable companies to adapt products, services, offers etc. to their audience Integrate and interpret live data Relevant data: Events from social media / news Mobility and cellular network data Weather warnings and forecasts Own customer data Wauer & Ngonga Ngomo (DICE) Semantic Message-driven Microservice Plat. . . June 3, 2018 5 / 23

  6. Use Cases Use Case 1: Data-driven Geomarketing Wauer & Ngonga Ngomo (DICE) Semantic Message-driven Microservice Plat. . . June 3, 2018 6 / 23

  7. Use Cases Use Case 2: Intelligent parking Current situation: Finding road-side parking in cities is difficult Little support from satnavs Goals: Compute parking probabilities Provide approximate routing service on satnav device Relevant data: Sensor data (floating car data) Mobility / cellular network data Traffic events Events (e.g., football matches) Wauer & Ngonga Ngomo (DICE) Semantic Message-driven Microservice Plat. . . June 3, 2018 7 / 23

  8. Use Cases Use Case 3: Predictive maintenance and industrial service Current situation: Device sensors Weather Traffic Sensor networks in industrial appliances not connected to service technician scheduling High cost of halted manufacturing processes Goals: Link predictive maintenance with service deployment planning and spare part logistics Relevant data: Predictive maintenance data Weather forecasts and warnings Traffic information Wauer & Ngonga Ngomo (DICE) Semantic Message-driven Microservice Plat. . . June 3, 2018 8 / 23

  9. Approach Wauer & Ngonga Ngomo (DICE) Semantic Message-driven Microservice Plat. . . June 3, 2018 9 / 23

  10. Geiser architecture Use Cases & Applicatj tjons GEISER Compatj tjble Tooling Unifj fjed GEISER REST API Unifj fjed GEISER REST API Services (loosely coupled) tjon tjon Deployment & Maintenance Deployment & Maintenance fjguratj fjguratj tjon & Security tjon & Security tgorm & Service Confj Applicatj tjon Services (only samples included, use case specifjc) tgorm & Service Confj Applicatj tjon Services (only samples included, use case specifjc) Generic Services Generic Services Features: tjcatj tjcatj Generic Services Generic Services Generic Services, e.g. LIMES, DEER, FOX, AGDISTIS Generic Services, e.g. LIMES, DEER, FOX, AGDISTIS visualizatjon, exploratjon, Authentj Authentj dashboarding, data analytjcs, semantjc search, etc. Generic Services Generic Services Generic Services Generic Services Data Services (querying, manipulatjon, geospatjal, etc.) Data Services (querying, manipulatjon, geospatjal, etc.) Platg Examples: Platg metaphactory, Facete, mappify, etc. GEISER Platg tgorm Private or public cloud Private or public cloud (Semantjc Databases, SPARK ecosystem, SANSA …) (Semantjc Databases, SPARK ecosystem, SANSA …) Wauer & Ngonga Ngomo (DICE) Semantic Message-driven Microservice Plat. . . June 3, 2018 10 / 23

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