Tutorial ESWC2011 Building Semantic Sensor Web - 01 - Introduction
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Tutorial ESWC2011 Building Semantic Sensor Web - 01 - Introduction

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ESWC 2011 Tutorial Seman

ESWC 2011 Tutorial Seman

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Tutorial ESWC2011 Building Semantic Sensor Web - 01 - Introduction Tutorial ESWC2011 Building Semantic Sensor Web - 01 - Introduction Presentation Transcript

  • BuildingSemantic Sensor Webs and Applications
    ESWC 2011 Tutorial
    29 May 2011
  • Tutorial Objectives
    • Knowledgeof thebasicconcepts and toolstobuildsemantically-enabledapplications and servicesthatrelypartiallyortotallyondata comingfrom sensor networks
    • Whom of thisgroup are you in?
    • Developerswhowishtobuildsuchapplications
    • Peopleinterested in thebasicconcepts of semantic sensor web applications
    • Experts in Semantic Sensor Web applications
  • Whomwe are?
    • Oscar Corcho (UPM)
    • Alasdair Gray (UNIMAN)
    • KostisKyzirakos (NKUA)
    • Jean Paul Calbimonte (UPM)
    • Kevin Page (SOTON)
  • Schedule fortoday
    • Introduction (20’)
    • Semantic Sensor Web components (20’)
    • DiscoveringSourcesfor a Region: (20 minutes theory + 30 minutes practical)
    • Coffeebreak (20 minutes)
    • QueryingStreaming Data throughOntologies: (20 minutes theory + 30 minutes practical)
    • Sensor Data and SemanticMashups: (20 minutes theory + 30 minutes practical)
  • IntroductiontotheSemantic Sensor Web
    ESWC 2011 Tutorial
    29 May 2011
  • Sensor Networks
    • Increasingavailability of cheap, robust, deployablesensors as ubiquitousinformationsources
    • Dynamic and reactive, butnoisy, and unstructured data streams
    Source: Antonis Deligiannakis
  • The Sensor Web
    • Sensor networksmaybenetworked, mostlywireless, hence global and integrated
    • Universal, web-based access to sensor data
    • Each network with some kind of authority and administration
    • Sensor networks vs robust networks
    6
    Source: Adaptedfrom Alan Smeaton’sinvitedtalk at ESWC2009
  • Sensor Web: Isthispart of the Web/Internet?
    7
    Source: SemsorGrid4Env consortium
  • Who are theendusers of sensor networks?
    Theclimatechangeexpert, or a simple citizen
    Source: Dave de Roure
  • Most of you are computer scientists. Why is it worth working on this?
    • You may like helping scientists, or…
    • You want to address any of the following challenges in Computer Science:
    Scale, scalable
    Autonomic behaviour versus control
    Persistent, heterogeneous, evolving
    Deployment challenge
    Some mobile devices
    Source: Dave de Roure
  • A set of challenges in sensor data management
    • Data Provisioning
    Complexity of acquisition: distributed sources, data volumes, uncertainty, data quality, incompleteness
    Pre-processing incoming data: calibration on instruments (specific), lack of re-grid, calibration, gap-filling features
    Tools for data ingestion needed: generic, customizable, provide estimates, uncertainty degree, etc.
    • Spatial/temporal
    • Analysis, modeling
    Discovery: identify sources, metadata
    Data quality: gaps, faulty data, loss, estimates
    Analysis models
    Republish analytic results, computations, 
    Workflows for data stream processing
    10
    Source: Data Management in theWorldWide Sensor Web. Balazinska et al. IEEE Pervasive Computing, 2007
  • A set of challenges in sensor data management
    • Interoperability
    Data aggregation/integration
    • Uncertainty, data quality
    Noise, failures, measurement errors, confidence, trust
    • Distributed processing
    High volume, time critical
    Fault-tolerance
    Load management 
    Stream processing features
    Continuous queries
    Live & historical data
    11
    Source: Data Management in the WorldWide Sensor Web. Balazinska et al. IEEE Pervasive Computing, 2007
  • A semanticperspectiveonthesechallenges
    • Sensor data querying and (pre-)processing
    Data heterogeneity Data integration and fusion
    Data quality
    New inferencecapabilitiesrequiredtodealwith sensor information
    • Sensor data modelrepresentation and management
    For data publication, integration and discovery
    Bridgingbetween sensor data and ontologicalrepresentationsfor data integration Abstractionlevel
    Eventmodels
    • Rapid development of applications
    • Userinteractionwith sensor data
    Source: FiveChallengesfortheSemantic Sensor Web. García-Castro R, Corcho O.Semantic Web Journal, 2010
  • Challenges. A high-levelapplication
    Mashupdevelopment
    Registry
    InformationIntegration
    Sensor Network Ontologies