Km4City: Status and Trend

Transcription

1 Km4City: Status and Trend Smart City Ontology, status, tools and trend Distributed Data Intelligence and Technologies Lab Lab Prof. Paolo Nesi DISIT Lab Dipartimento di Ingegneria dell Informazione Università degli Studi di Firenze Via S. Marta 3, 50139, Firenze, Italia tel: , fax:

2 Km4City

3 Km4City

4 Km4City DISIT Lab, Distributed Data Intelligence and Technologies Knowledge model for the city

5 The Km4City Challenge Huge amount of data are produced from: Open Data, Linked Data, Real Time sensors, Twitter, WiFi, etc. (big data: velocity, variety, volume, veracity, ) Most of them are not semantically interoperable A common model is the only solution to provide services to Public Administrations, Citizens, City Operators (mobility, energy, telecom, etc.) None of them may have the global view Cities needs to create a control room with open tools Integrated competences are needed on a large range of solutions, from ICT, energy, mobility, risk assessment, resilience, etc.

6 Km4City: Aggregated Data produce more results than the simple add. Offering Aggregated data as a service, API Enabling risk and resilience assessment Providing integrated services Large companies (as city operators) may have back their data augmented with the data of others stakeholders, plus OD, etc. Reduction of costs to make innovative services, facilitating the work for the SME Exploiting inference, self correction, reasoning reduction of time of adding new data in the integrated environment Increasing city resilience and smartness

7 Km4City Transport systems Mobility, parking Environment, Water, energy Shops, services, operators Social Media WiFi, network Smart City Dashboard Smart Decision Support Service map browser Twitter Vigilance Km4City User Profiling and Suggestions on Demand Km4City Smart City API Sensors, IOT Cameras,.. Tools for Operators Km4City Smart City Engine DISCES Distributed and parallel architecture on Cloud Public Services Govern, events, DISIT Lab, Distributed Data Intelligence and Technologies Flow and Origin Destination Matrix Tools for Final Users Mobile e Web Apps Km4City status and progress, March 2016 Km4City Tools for Developers

8 Km4City EcoSystem Final Users tools: Km4City mobile applications Km4City web application: Public administrator tools: Smart City Dashboards, ServiceMap Server, Smart decision support system, Twitter Vigilance, Traffic and People Flow Assessment Developers tools: ServiceMap Server, plus API, Ontology Documentation LOG LOD browser Open Source Mobile Application, FODD Back Office tools for Public Administrations Data Ingestion Manager, DIM, Distributed Smart City Engine, SCE, Scheduler, DISCES RDF Indexer Manager, RIM, RDF store enricher with dbpedia Adopted on projects and real scenarios

9 Km4CityMobile App: all stores web application

10 Firenze dove, cosa.. Km4City

11 DISIT Lab, Distributed Data Intelligence and Technologies Recommender Chi Quando e chi Cosa Dove come, perché...

12 Tourists in DISIT Lab, Distributed Florence Data Intelligence and Technologies

13 DISIT Lab, Distributed Data Intelligence and Technologies Hot WiFi in Distributed Florence Systems and Internet Technologies

14 Km4City In Toscana DISIT Lab, Distributed Data Intelligence and Technologies Textual search; for example: Mazzini

15 Km4City Firenze and DISIT beyond Lab, Distributed Data Intelligence and Technologies Search all services in the area

16 Km4City on Firenze & Tuscany DISIT Lab, Distributed Data Intelligence and Technologies Road Graph (Tuscany region) 132,923 Roads 389,711 Road Elements 318,160 Road Nodes 1,508,207 Street Numbers 110,374 Services (20 cat, 512 cat.) 2,326 Bus stops & 86 bus lines 210 Parking areas 424 Traffic Sensors Info on: points, paths, areas, etc. Dynamic/real time bus lines: 200 updates/day per line Parking status: 36 updates/day Traffic Sensors: 48 updates/day Weather: 2 updates/day for 285 areas Events: 60 new events/day Wi Fi: 250,000 measures per day

17 Km4City in Firenze DISIT Lab, Distributed Data Intelligence and Technologies Areas, Bus lines, bike lanes, tram, RTZ, etc.

18 Km4City EcoSystem Final Users tools: Km4City mobile applications Km4City web application: Public administrator tools: Smart City Dashboards, ServiceMap Server, Smart decision support system, Twitter Vigilance, Traffic and People Flow Assessment Developers tools: ServiceMap Server, plus API, Ontology Documentation LOG LOD browser Open Source Mobile Application, FODD Back Office tools for Public Administrations Data Ingestion Manager, DIM, Distributed Smart City Engine, SCE, Scheduler, DISCES RDF Indexer Manager, RIM, RDF store enricher with dbpedia Adopted on projects and real scenarios

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20 Control Room delle Città Metropolitane devono: arrivare a supervisionare domini multipli e le interdipendenze fra mobilità, energia, comunicazione, servizi, flussi traffico, flussi pedonali, turismo, etc. Migliorare la loro Resilienza, capacità di reazione ed assorbimento. DISIT Lab, Distributed Data Intelligence and Technologies ICT e infrastrutture di comunicazione sono una chiave per tenere sotto controllo e gestire le infrastrutture ma. non è sufficiente per migliorare la resilienza delle città:

21 Decisioni supportate dai dati periodiche ed in tempo reale Condivisione e Integrazione Dati multidominio: semantica e bigdata Dati Smart City Engine Control Room analisi: monitoraggio, flussi e comportamenti, sondaggi, mining, correlazioni, cause effetti, etc. Per il miglioramento di servizi correnti Per reagire ad eventi, incremento della resilienza, Per la creazione servizi innovativi DISIT Lab, Distributed Data Intelligence and Technologies

22 Big Data Smart City Architecture Open Data Sensors Data Traffic Control Energy central ehealth Agency. Social Media Peripheral processors Data Ingestion Manager (static and real time) Social Vigilance Data Ingesting and mining Smart City Engine, SCE Distributed processing Km4City API Km4City Reasoning and Deduction Dashboards Smart Decision Sup. Sugg. and Alarms Process In / Data Export Linked Open Graph Service Map Data / info Rendering Profiled Services Citizens Formation Data Acting processors Making Decision Making Suggestions Interoperability Development Applications

23 Servicemap front end

24 Smart City Decision Support Smart Decision Support System based on System Thinking plus Actions to city reaction, resilience, smartness.. Enforcing Mathematical model for propagation of decision confidence.. Collaborative work, Processes connected to city data: DB, RDF Store, Twitter, etc. Production of alerts/alarms Data analytics process Twitter Processes reuse, copy past,

25 Twitter Vigilance Public parts accessible on: Monitoring twitter channels with high reliability & precision, following slow, fast and explosive events Multiuser managing multiple: public and private channels Access to data, advanced search, data analytics, sentiment analysis,... A Twitter Vigilance channel is a set of real time adaptive searches on twitter. Each of them may have a complex syntax according to twitter API and service Each user may manage a number of channels and searchers Active since April 2015 with data collection, since Sept. with big data analytics, since October with Sentiment Analysis Easy addressing about per day Over than 30 Million of tweets

26 All Channels (private information) DISIT Lab, Distributed Data Intelligence and Technologies 1) General view with top explosive events on commenting tvserials 2) This is what there in the ground when the top explosive events are hidden

27 Twitter Vigilance Citizens as sensors to Assess sentiment on services, events, Response of consumers wrt Early detection of critical conditions Information channel Opinion leaders Communities formation

28 Full text and Faceted Search Facility of Twitter Vigilance db

29 Twitter Vigilance, >> tweets per day

30 NLP Sentiment Analysis (early results) SA on a channel SA on a Search

31 Traffic and People Flow Assessment Origin Destination Matrix Specific Sensors, vehicle Kits, mobile App, Wi Fi Access Points, etc. Assess people and traffic flows to improve services predict critical conditions on Crit. Infra. take real time decisions and sending messages in push to population Increase city resilience optimize traffic flow take decision of routing

32 Km4City EcoSystem Final Users tools: Km4City mobile applications Km4City web application: Public administrator tools: Smart City Dashboards, ServiceMap Server, Smart decision support system, Twitter Vigilance, Traffic and People Flow Assessment Developers tools: ServiceMap Server, plus API, Ontology Documentation LOG LOD browser Open Source Mobile Application, FODD Back Office tools for Public Administrations Data Ingestion Manager, DIM, Distributed Smart City Engine, SCE, Scheduler, DISCES RDF Indexer Manager, RIM, RDF store enricher with dbpedia Adopted on projects and real scenarios

33 Domini di intervento Mobilità: inter modalità, bigliettazione integrata, sostenibile, scambiatori, sfruttamento stazioni, etc., Servizi: gov..suap, edu, turismo, beni culturali, salute, etc., Energia: risparmio energetico, riduzione amissioni, inquinamento, etc., Ambiente: qualità dell aria, fiumi, meteo, rifiuti, etc., commercio, industria, etc.... Infrastrutture critiche. resilienza DISIT Lab, Distributed Data Intelligence and Technologies

34 Smart city Ontology The data model provided have been mapped into the ontology, it covers different aspects: Administration Street Guide Points of interest Citations from strings Local public transport Sensors.. Temporal aspects Metadata on the data Statistics Risk assessment ADMINISTRATIVEROAD ownerauthority PA Administration Macroclass BUSSTOP isinroad ROAD WEATHERREPORT refersto PA Local public transport Macroclass BUSSTOPFORECAST atbusstop BUSSTOP MetaData PA haspublicoffice OFFICE Street guide Macroclass CARPARK isinroad ROAD Sensors Macroclass SERVICE isinroad ROAD Point of Interest Macroclass CARPARKSENSOR observecarpark CARPARK SENSOR measuredtime TIME Temporal Macroclass BUS hasexpectedtime TIME

35 DISIT Lab, Distributed Data Intelligence and Technologies I Dati Collezionamento dati statici, quasi statici e real time, stream Dati open: geo localizzati, servizi, statistiche, censimenti, etc. Dati privati degli operatori: con licenze limitate per non permettere di fare profitto ad altri operatori sulla base dei loro dati Dati personali delle persone: profili, comportamenti tramite APP, IOT, sensori, web, etc. Integrazione dati per renderli semanticamente interoperabili, ed operare deduzioni (time, space ) I tradizionali collettori di open data danno visioni statistiche ma non sono adatti a produrre servizi integrati Integrazione con modelli semantici unificanti come Km4City

36 Service Map Tools

37 Exploiting Big Data Reasoning DISIT Lab, Distributed Data Intelligence and Technologies Data processing Km4City RDF Store + indexes: SPARQL End point Distributed processing DISCES: Distributed SCE Scheduler DISCES Database Data Analytics Low Level Km4City API Development Interfaces & Srv. High Level Km4City API Suggestions and Alarms Smart Decision System Service Map Linked Open Graph, Visual Query Graph use Web and App Information, Data Exploitation, Data Rendering, Profiled Services, Formation, etc. development SCE: Smart City Engine Data Status web pages Other SPARQL End Points Twitter Vigilance Developers and Managers Reasoning and Deduction Development Framework

38 Service Map DISIT Lab, Distributed Data Intelligence and Technologies

39 Linea 4

40 Km4city ServiceMap Km4City API /6597 REST API: serviceuri or Selection or GPS REST API: Query ID Receive an Get a JSON, HTML, EMBED facility in third party web pages

41 DISIT Lab, Distributed Data Intelligence and Technologies ils?id=org.disit.fodd

42 Fodd, open source demonstrator

43 Smart city Ontology >84 Classes >100 ObjectProperties >100 DataProperties km4city Ontology Documentation:

44 Km4City Ontology and tools documentation ENG: documentation ITA: image: ontology.. the OWL and triple version FODD 2015 app API Service Map: Service Map:

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46 Linked Open Graph

47 Linked Open Graph DISIT Lab, Distributed Data Intelligence and Technologies A bus stop info.

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49 Km4City EcoSystem Final Users tools: Km4City mobile applications Km4City web application: Public administrator tools: Smart City Dashboards, ServiceMap Server, Smart decision support system, Twitter Vigilance, Traffic and People Flow Assessment Developers tools: ServiceMap Server, plus API, Ontology Documentation LOG LOD browser Open Source Mobile Application, FODD Back Office tools for Public Administrations Data Ingestion Manager, DIM, Distributed Smart City Engine, SCE, Scheduler, DISCES RDF Indexer Manager, RIM, RDF store enricher with dbpedia Adopted on projects and real scenarios

50 Data Ingestion and Mining Static Data harvesting Real Time Data Ingestion Quality Improve ment Sensors Meteo AVM Parcking Data Mapping To triple Data Mapping To triple triple Indexing Ontologie RDF Store + indexes: SPARQL triple Store Validation Semantic Interoperability Reconciliation RDF Store Enrichment Blog & SN Vigilance NLP Text Mining Indexing Ontologie RDF Store + indexes: SPARQL OSIM based tools Twitter Vigilance Data Ingestion and Mining RDF Indexing Reasoning

51 Example of Ingestion process

52 RDF Store Enrichment, DISIT Lab, Distributed Data Intelligence and Technologies VIP names identification

53 Data Ingestion and Mining DISIT Lab, Distributed Data Intelligence and Technologies Data Status web pages Distributed Bigdata store R2RML Models Km4City Ontology RDF Store Validation Static Data harvesting Real Time Data Ingestion Quality Improve ment Sensors Meteo AVM Parcking Data Mapping To triple triple Indexing RDF Store + indexes: SPARQL End point Other SPARQL End points triple Semantic Interoperability Reconciliation RDF Store Enrichment DIM: Data Ingestion Manager DIM Database Distributed processing DISCES: Distributed SCE Scheduler DISCES Database Data Ingestion and Mining RIM: RDF Indexing Manager RIM Database and versioning RDF Indexing Reasoning Sporadic: Validation Reconciliation Enrichment

54 DIM: Data Ingestion Manager RIM RDF Index Manager

55 Smart City Engine DISIT Lab, Distributed Data Intelligence and Technologies Status: in progress SLA derived from Cloud SLA Model mutuated from Smart Cloud Engine of ICARO

56 Distributed SCE Scheduler DISIT Lab, Distributed Data Intelligence and Technologies

57 Distributed SCE Scheduler

58 Macro Class DISIT Lab, Distributed Data Intelligence and Technologies RDF Triples generated Static Triples Reconciliation Triples Real Time Triples Loaded Total on 1.5 months Administration Metadata of DataSets Point of Interest ( POIs in Tuscany) Street guide (in Tuscany) Local Public Transport (<5 lines of FI) Sensors (<201 road sensors, 63 scheduled every two hours) Parking (<44 parkings, 12 scheduled every 30min) Meto (286 municipalities, per line per day, to be filtered, read every 30 s, they respond in minutes 102 per sensor per read, every 2 hours, they are very slow in responding 7920 per park per day, 3 read per hour, they respond in seconds 185 per location per update, 1 2 updates per day (static) all scheduled every 6 hours) Temporal events, 6 time stamp for each event Total

59 Km4City EcoSystem Final Users tools: Km4City mobile applications Km4City web application: Public administrator tools: Smart City Dashboards, ServiceMap Server, Smart decision support system, Twitter Vigilance, Traffic and People Flow Assessment Developers tools: ServiceMap Server, plus API, Ontology Documentation LOG LOD browser Open Source Mobile Application, FODD Back Office tools for Public Administrations Data Ingestion Manager, DIM, Distributed Smart City Engine, SCE, Scheduler, DISCES RDF Indexer Manager, RIM, RDF store enricher with dbpedia Adopted on projects and real scenarios

60 Km4City Scenarios and adoptions Km4City is at the basis of real scenarios the Florence data aggregator, presented at FODD 2015, February see mobile Apps, etc. Km4City is adopted in running projects up to 2020 Sii Mobility Smart City National, 13.5 Meuro RESOLUTE H2020 DRS7 project of the EC, 3.8 Meuro REPLICATE H2020 SCC1 project of the EC, 29 Meuro..

61 Sii Mobility DISIT Lab, Distributed Data Intelligence and Technologies Experimentations and validation in Tuscany Integration with present central station and subsystems DISIT lab, Università di Firenze, is the tech-scientific coordinator ECM; Swarco Mizar; Inventi In20; Geoin; QuestIT; Softec; T.I.M.E.; LiberoLogico; MIDRA (autostrade, motorola); ATAF; Tiemme; CTT Nord; BUSITALIA; A.T.A.M.; Effective Knowledge; ewings; Argos Engineering; Elfi; Calamai & Agresti; Project; Negentis

62 Confidential

63 Obiettivi Generali (sintesi) ridurre i costi sociali della mobilità per le persone consentendo minori disagi, maggiore efficienza, maggiore sensibilità verso le necessità del cittadino, minori emissioni, migliori condizioni ambientali; percorsi info formativi in modo che il cittadino cambi le abitudini non virtuose; ridurre i costi di trasporto ed i tempi di percorrenza per gli utenti, per i gestori e le amministrazioni, tramite soluzioni di ottimizzazione. semplificare l uso dei sistemi di mobilità sensori innovativi per AVM e mezzi privati sul territorio Sistemi integrati di pagamento e di identificazione soluzioni di guida/percorso connesso (connect drive, smart drive o walk) Integrazione di dati provenienti da gestori e sorgenti di tipo diverso Gestione avanzata di mezzi misurazione di flussi realizzazione di sensori, attuatori Sperimentazione su comuni e province della Toscana Contribuire al miglioramento degli standard nazionali ed internazionali

64 Develop European Resilience Management Guidelines (ERMG) Develop a conceptual framework for creating/ maintaining Urban Transport Systems Enhance resilience through improved support of human decision making processes, particularly by training professionals and civil users on the ERMG and the RESOLUTE system Operationalize and validate the ERMG by implementing the RESOLUTE Collaborative Resilience Assessment and Management Support Systems (CRAMSS) for Urban Transport Systems addressing Road and Urban Rail Infrastructures Pilots in Florence and Athens Adoption of the ERMG at EU and Associated Countries level DISIT Lab, Distributed Data Intelligence and Technologies eu.org University of Florence: DISIT lab DINFO (Proj UNIFI IT coordinator), DISIA and DST THALES THALES IT ATTIKOMetro ATTIKO GR Comune di Firenze CDF IT Centre for Research and Technology Hellas CERTH GR Fraunhofer Gesellschaft zur Förderung der angewandten FHG DE Forschung e.v. HUMANIST HUMANIS FR T SWARCO Mizar SWMIZ IT Associação para o Desenvolvimento da Investigação no Instituto Superior de Gestão ADI ISG Consorzio Milano Ricerche CMR IT PT

65 DISIT Lab, Distributed Data Intelligence and Technologies

66 demonstrate Smart City technologies in energy, transport and ICT in districts in: San Sebastian, Florence and Bristol, follower cities of Essen, Nilufer and Lausanne Cities are the customer: considering local specificities Solutions must be replicable, interoperable and scalable. Integrated Infrastructure: deployment of ICT architecture, from internet of things to applications Low energy districts Urban mobility: sustainable and smart urban services 1 (coordinator) FOMENTO DISIT Lab, DE Distributed SAN SEBASTIAN Data Intelligence FSS SPAIN and Technologies 2 AYUNTAMIENTO DE SAN SEBASTIAN SAN SEBASTIAN SPAIN 3 COMUNE DI FLORENCE FLORENCE ITALY 4 BRISTOL COUNCIL BRISTOL UNITED KINGDOM 5 STADT ESSEN ESSEN GERMANY 6 NILUFER BELEDIYESI NILUFER TURKEY 7 VILLE DE LAUSANNE LAUSANNE SWITZERLAND 8 IKUSI ANGEL IGLESIAS, S.A. IKUSI SPAIN 9 ENDESA ENERGÍA, S.A. ENDESA SPAIN 10 EUROHELP CONSULTING, S.L. EUROHELP SPAIN 11 ILUMINACION INTELIGENTE LUIX, S.L. LUIX SPAIN 12 FUNDACION TECNALIA RESEARCH & INNOVATION TECNALIA SPAIN 13 EUSKALTEL, S.A. EUSKALTEL SPAIN 14 COMPAÑÍA DEL TRANVÍA DE SAN SEBASTIÁN DBUS SPAIN 15 CONSIGLIO NAZIONALE DELLE RICERCHE CNR ITALY 16 ENEL DISTRIBUZIONE, SPA ENEL ITALY 17 MATHEMA, SRL MATHEMA ITALY 18 SPES CONSULTING SPES ITALY 19 TELECOM ITALIA, SPA TELECOM ITALY 20 UNIVERSITA DEGLI STUDI DI FLORENCE UNIFI ITALY: DINFO.DISIT, DIEF 21 THALES ITALIA, SPA THALES ITALY 22 ZABALA INNOVATION CONSULTING ZABALA SPAIN 23 TECHNOMAR TECHNOMAR GERMANY 24 UNIVERSITY OF BRISTOL UOB UNITED KINGDOM 25 UNIVERSITY OF OXFORD UOXF UNITED KINGDOM 26 BRISTOL IS OPEN, LTD BIO UNITED KINGDOM 27 ZEETTA NETWORKS ZEETTA UNITED KINGDOM 28 KNOWLE WEST MEDIA CENTRE, LGB KWMC UNITED KINGDOM 29 TOSHIBA RESEARCH EUROPE, LTD TREL UNITED KINGDOM 30 ROUTE MONKEY, LTD ROUTE MONKEY UNITED KINGDOM 31 ESOTERIX SYSTMES, LTD ESOTERIX UNITED KINGDOM 32 NEC LABORATORIES EUROPE, LTD NEC UNITED KINGDOM 33 COMMONWHEELS CAR CLUB CIC CO-WHEELS UNITED KINGDOM 34 UNIVERSITY OF THE WEST OF ENGLAND UWE UNITED KINGDOM 35 ESADE BUSINESS SCHOOL ESADE SPAIN 36 SISTELEC SOLUCIONES DE TELECOMUNICACION, S.L. SISTELEC SPAIN

67 DISIT Lab, Distributed Data Intelligence and Technologies REPLICATE a Firenze: Energia, ICT e Mobilità

68 Km4City EcoSystem Final Users tools: Km4City mobile applications Km4City web application: Public administrator tools: Smart City Dashboards, ServiceMap Server, Smart decision support system, Twitter Vigilance, Traffic and People Flow Assessment Developers tools: ServiceMap Server, plus API, Ontology Documentation LOG LOD browser Open Source Mobile Application, FODD Back Office tools for Public Administrations Data Ingestion Manager, DIM, Distributed Smart City Engine, SCE, Scheduler, DISCES RDF Indexer Manager, RIM, RDF store enricher with dbpedia Adopted on projects and real scenarios

69 Km4City International Actions DMS2015 for RIM, Vancouver, Canada, Aug Cognitive Systems Institute Group Speaker Series, IBM, 2015 SMAU 2015 European Data Forum 2015, Luxembourg, 2015 Smart City 360, Bratislava, Slovenia, 2015 Semantic Challenge: Bethlem, USA, October 2015 Smart City Expo, Barcelona, Spain, 2015 i Cities, Palermo, Italy, 2015 Smart City and Big Data, Italy, Nov IEEE Smart City, Cina, December 2015

70 2013 Weather Cultural Heritage Energy: recharge pillar WiFi Tuscany Map Services AVM Sensors Parking Sii Mobility Smart City National Km4city roadmap Events in the city 2014 Cultural Heritage Enrichment cites Events in the city DigitalLocations Fresh places. API Embed more API ibeacon 2015 RESOLUTE H Started SmartDS Km4City App DISIT Lab, Distributed Data Intelligence and Technologies Twitter Vigilance Beta testing 2016 today REPLICATE H Sii Mobility SCN: * 2018 Suggestions on demand Dashboards People flow tracking Risk analysis Territorial, areas and paths Environmental: water, hearth, Statistics, Energy, IOT,.. Data Licensing models User Km4City Engagement status and progress, March 2016

71 Km4City: Status and Trend Smart City Ontology, status, tools and trend Distributed Data Intelligence and Technologies Lab Lab Prof. Paolo Nesi DISIT Lab Dipartimento di Ingegneria dell Informazione Università degli Studi di Firenze Via S. Marta 3, 50139, Firenze, Italia tel: , fax: