Tutorial ESWC2011 Building Semantic Sensor Web - 01 - Introduction
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This document outlines the objectives, schedule, and introduction for a tutorial on building semantic sensor webs and applications. The tutorial aims to teach developers and experts about building semantically-enabled applications that rely on data from sensor networks. It will cover semantic sensor web components, discovering sensor data sources for a region, querying streaming data through ontologies, and sensor data semantic mashups. The introduction discusses sensor networks as information sources, the sensor web, end users of sensor data, and challenges in sensor data management including interoperability, data quality, and distributed processing.
Tutorial ESWC2011 Building Semantic Sensor Web - 01 - Introduction
- 1. BuildingSemantic Sensor Webs and ApplicationsESWC 2011 Tutorial29 May 2011
- 2. Tutorial ObjectivesKnowledgeof thebasicconcepts and toolstobuildsemantically-enabledapplications and servicesthatrelypartiallyortotallyondata comingfrom sensor networks
- 3. Whom of thisgroup are you in?
- 5. Peopleinterested in thebasicconcepts of semantic sensor web applications
- 6. Experts in Semantic Sensor Web applicationsWhomwe are?Oscar Corcho (UPM)
- 9. Jean Paul Calbimonte (UPM)
- 10. Kevin Page (SOTON)Schedule fortodayIntroduction (20’)
- 11. Semantic Sensor Web components (20’)
- 12. DiscoveringSourcesfor a Region: (20 minutes theory + 30 minutes practical)
- 14. QueryingStreaming Data throughOntologies: (20 minutes theory + 30 minutes practical)
- 15. Sensor Data and SemanticMashups: (20 minutes theory + 30 minutes practical)IntroductiontotheSemantic Sensor WebESWC 2011 Tutorial29 May 2011
- 16. Sensor NetworksIncreasingavailability of cheap, robust, deployablesensors as ubiquitousinformationsources
- 17. Dynamic and reactive, butnoisy, and unstructured data streamsSource: Antonis Deligiannakis
- 18. The Sensor WebSensor networksmaybenetworked, mostlywireless, hence global and integrated
- 19. Universal, web-based access to sensor data
- 20. Each network with some kind of authority and administration
- 21. Sensor networks vs robust networks6Source: Adaptedfrom Alan Smeaton’sinvitedtalk at ESWC2009
- 22. Sensor Web: Isthispart of the Web/Internet?7Source: SemsorGrid4Env consortium
- 23. Who are theendusers of sensor networks?Theclimatechangeexpert, or a simple citizenSource: Dave de Roure
- 24. Most of you are computer scientists. Why is it worth working on this?You may like helping scientists, or…
- 25. You want to address any of the following challenges in Computer Science: Scale, scalableAutonomic behaviour versus control Persistent, heterogeneous, evolvingDeployment challengeSome mobile devicesSource: Dave de Roure
- 26. A set of challenges in sensor data managementData ProvisioningComplexity 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 featuresTools for data ingestion needed: generic, customizable, provide estimates, uncertainty degree, etc.Spatial/temporal
- 27. Analysis, modelingDiscovery: identify sources, metadataData quality: gaps, faulty data, loss, estimatesAnalysis models Republish analytic results, computations, Workflows for data stream processing 10Source: Data Management in theWorldWide Sensor Web. Balazinska et al. IEEE Pervasive Computing, 2007
- 28. A set of challenges in sensor data managementInteroperabilityData aggregation/integrationUncertainty, data qualityNoise, failures, measurement errors, confidence, trust Distributed processing High volume, time criticalFault-toleranceLoad management Stream processing featuresContinuous queriesLive & historical data11Source: Data Management in the WorldWide Sensor Web. Balazinska et al. IEEE Pervasive Computing, 2007
- 29. A semanticperspectiveonthesechallengesSensor data querying and (pre-)processingData heterogeneity Data integration and fusionData qualityNew inferencecapabilitiesrequiredtodealwith sensor informationSensor data modelrepresentation and managementFor data publication, integration and discoveryBridgingbetween sensor data and ontologicalrepresentationsfor data integration AbstractionlevelEventmodelsRapid development of applications
- 30. Userinteractionwith sensor dataSource: FiveChallengesfortheSemantic Sensor Web. García-Castro R, Corcho O.Semantic Web Journal, 2010
- 31. Challenges. A high-levelapplicationMashupdevelopmentRegistryInformationIntegrationSensor Network Ontologies