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M. Scannapieco - Big Data e Open Data: Istruzioni (o quasi) per l’Uso

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M. Scannapieco - Big Data e Open Data: Istruzioni (o quasi) per l’Uso

  1. 1. Big Data e Open Data: Istruzioni (o quasi) per l’Uso Monica Scannapieco Direzione delle Tecnologie Informatiche e della Comunicazione - Istat
  2. 2. Shared Data: Big+Open+Linked+… Big Data More Data Open Data Shared Data Linked Data More Sources More Stakeholders More Context Social Data More Relationships Source: Gartner Monica Scannapieco, Smart City Exhibition, 17/10/2013
  3. 3. Tipologie di Sorgenti Big - 1 Data exhaust Behaviour data & Crowd-sourced data Sensor data
  4. 4. Tipologie di Sorgenti Big - 2 Data Exhaust Dati transazionali raccolti in modo passivo Relativi a transazioni di soggetti fisici ma generati in modo passivo (ossia non direttamente generati da soggetti fisici) Esempi : Log telefonici Log di transazioni commerciali Log di ricerche web Record ospedalieri Transazioni bancarie o assicurative
  5. 5. Tipologie di Sorgenti Big - 3 Behaviour data & Crowd-sourced data Interazioni con news media e social media, job posting Sono i soggetti fisici a produrre attivamente dati relativi alle proprie intenzioni, sensazioni o esigenze (anche tramite dispositivi mobili) Esempi : Posts su blog Messaggi su Twitter User generated maps
  6. 6. Tipologie di Sorgenti Big - 4 Sensor data Dati relativi a emissioni di luce, parametri ambientali, traffico, etc. Dispositivi fisici rilevano in modo remoto (remote sensing) proprietà di oggetti fisici Esempi : Valori relativi all’inquinamento Numero di veicoli in transito
  7. 7. Disponibilità dei dati Exhaust data: Google Trends http://www.google.com/trends/ Alert: Indice relativo Problema semantico Monica Scannapieco, Smart City Exhibition, 17/10/2013
  8. 8. Qualità Behaviour data: Analisi su social media (Twitter) olandesi hanno mostrato che circa il 50% dei messaggi sono ‘pointless babble’ [Daas et al., 2012] Twitter as a potential data source for statistics. The Hague/Heerlen: Statistic Netherlands. Available at: URL=http://www.cbs.nl/NR/rdonlyres/04B7DD23-5443-4F98-B4661C67AAA19527/0/201221x10pub.pd Data Exhaust: Assessment della qualità del Deep Web nei domini “Azioni” e “Voli” Costruzione di Gold Standard 70% valori inconsistenti tre le fonti 70% valori inaccurati wrt gold standard [Li et al. 2013] Xian Li,Xin Luna Dong,K.B. Lyons,W., D. Srivastava, Truth Finding on the Deep Web: Is the Problem Solved?, PVLDB 2013 Monica Scannapieco, Smart City Exhibition, 17/10/2013
  9. 9. Ma...anche molte opportunità Monica Scannapieco, Smart City Exhibition, 17/10/2013
  10. 10. E gli Open Data? 5 Star Model (Tim Berners-Lee) Come sotto ma collegamenti tra i dati pubblicati in RDF Linked Open Data Come sotto ma uso di standard del W3C (RDF e SPARQL) Resource Description Framework Come (2) ma con formato non proprietario (e.g. CSV invece di excel) OPEN FORMAT Disponibile in formato machine-readable REUSABLE Disponibili sul Web (in qualunque formato) ma con una licenza open OPEN LICENSE Monica Scannapieco, Smart City Exhibition, 17/10/2013
  11. 11. Open Data in Istat – attuale Produzione statistica dell’Istat disponibile come open data I.stat: Web warehouse dei dati prodotti dall’Istat nelle varie aree tematiche LOD => http://dati.istat.it/ Formati di esportazione: CSV SDMX (Statistical Data and Metadata eXchange) RDF OPEN FORMAT REUSABLE OPEN LICENSE Monica Scannapieco, Smart City Exhibition, 17/10/2013
  12. 12. Open Data in Istat – futuro Progetti in corso e futuri: Potenziamento del SEP attraverso un canale di uscita RDF Pubblicazione in RDF delle classificazioni ufficiali Use case della pubblicazione in RDF di dati del Censimento della Popolazione Open Data Lab: test, pilot LOD RDF OPEN FORMAT REUSABLE OPEN LICENSE Monica Scannapieco, Smart City Exhibition, 17/10/2013
  13. 13. Affidabilità “Provenance is the number one issue that we face when publishing government data in data.gov.uk” John Sheridan, UK National Archives, data.gov.uk Definizione operativa di provenance: “Provenance of a resource is a record that describes entities and processes involved in producing and delivering or otherwise influencing that resource” (W3C Working group on provenance) http://www.w3.org/2011/prov/wiki/Main_ Page Monica Scannapieco, Smart City Exhibition, 17/10/2013
  14. 14. Conclusioni Big Data: Tanta informazione potenziale ma necessità di filtrare, «metadatare», gestire… Open Data: Iniziative come i LOD strutturano i dati e semplificano gestione e accesso, ma stadio ancora iniziale Domanda: Devono gli operatori della conoscenza considerare gli shared data come nuova fonte informativa? Risposta: Ovviamente si, ma con un vero «manuale di istruzioni per l’uso» ☺! Monica Scannapieco, Smart City Exhibition, 17/10/2013

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