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Semantic Modeling of Smart City Data and related challenges/opportunitiesAlessandra Mileo, Manfred Hauswirth ( and more (*))INSIGHT Center for Data Analytics, National University of Ireland Galway(Formerly known as DERI, Digital Enterprise Research Institute)(*) Stefan Bichof (Siemens Vienna), Athanasios Karapantelakis (Ericsson ResearchSweden), Cosmin-Septimiu Nechifor (Siemens Romania), Amit Sheth (Wright StateUniversity, OH, USA), Payam Barnaghi (University of Surrey, UK)W3C Workshop on the Web of Things - Berlin

BIG Data: what are we facing26/06/14W3C Workshop on the Web of Things - Berlin2

A Smart City driver of change will be Data.Smart Cities as an opportunityto render WoT-enabled services

“People want answers, notnumbers” (Steven Glaser, UC Berkley)Freezing!What is the temperature at home?Core networke.g. InternetSinknodeGatewayGoing from Data to Answers is the “smart” bit26/06/14W3C Workshop on the Web of Things - Berlin4

Perceptions and IntelligenceActionable intelligenceWisdomAbstraction and perceptionsKnowledgeStructured data (withsemantics)InformationProcessingModelingRaw sensory data26/06/14DataW3C Workshop on the Web of Things - Berlin5

CityPulse: Real-Time IoT StreamProcessing and Large-scale DataAnalytics for Smart City Applications26/06/14W3C Workshop on the Web of Things - Berlin6

CityPulse ConsortiumPartners:26/06/14IndustrialSIE, ERICSMEAIHigherEducationUNIS, NUIG,UASO, WSUCityBR, AAW3C Workshop on the Web of Things - Berlin7

astcartsbA Smart City removes silos movingtowards a connected digital layer.26/06/14W3C Workshop on the Web of Things - BerlinPage 8

Not just Heterogeneity and Volume but also Data Dynamicity, Data Quality andContextual Relevance26/06/14W3C Workshop on the Web of Things - Berlin9

Challenges of Smart City Data Data heterogeneity: interoperability Data quality:source selection, reliability Data context:source discovery/adaptation Data privacy:aggregation, access control Data dynamicity:semantic stream processing26/06/14W3C Workshop on the Web of Things - Berlin10

Semantic Model exampleKey concept: ov:wasGeneratedByprov:wasGeneratedByEvent streamsRelated to ssn:Observation26/06/14W3C Workshop on the Web of Things - Berlin11

Linked Stream ProcessingWebofThings WebofDevices/Services WebofData26/06/14W3C Workshop on the Web of Things - Berlin12

Keep It SimpleMiddleware26/06/14W3C Workshop on the Web of Things - Berlin13

Linked Stream Middleware (lsm.deri.ie)Continuous Query Processing Engine for Linked Streams26/06/14W3C Workshop on the Web of Things - Berlin14

Linked Stream Middleware15

Directions and DiscussionØ What are the principles for better design of amodel for smart city data? Stream annotation using Linked Data description Semantic properties for quality, context, privacy, simplifythe connection with the processing steps, includingdiscovery, indexing and continuous query processing Contextualization via categorization of data in hierarchicalform (from observations to complex events)Ø What about semantic processing of streams? RDF Stream Processing (RSP) W3C working group Scope: to define a common model for producing,transmitting and continuously querying RDF Streams Need to push this activity (e.g. via industry participation)26/06/14W3C Workshop on the Web of Things - Berlin16

wayemail:[email protected] ‐centre.org26/06/14W3C Workshop on the Web of Things - Berlin17

Semantic Modeling of Smart City Data Alessandra Mileo, Manfred Hauswirth ( and more (*)) INSIGHT Center for Data Analytics, National University of Ireland Galway (Formerly known as DERI, Digital Enterprise Research Institute) and related challenges