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Date: 23/09/2010 FIS 2010 DoctoralConsortium Enabling Semantic Integration of Streaming Data Sources Jean-Paul Calbimonte Ontology Engineering Group. Departamento de Inteligencia Artificial. Facultad de Informática, Universidad Politécnica de Madrid.  Campus de Montegancedo s/n.  28660 Boadilla del Monte. Madrid. Spain {jpcalbimonte}@fi.upm.es Supervisor: Oscar Corcho DC Scientific advisor: AchimRettinger
Index Introduction Problem statement Main research questions Approach Proposed solution Work done so far Evaluation	 Future work 2 EnablingSemanticIntegration of Streaming Data Sources
Introduction & Scope 3 ,[object Object]
 Continuously appended data
 Potentially infinite
 Time-stamped tuples
 Continuous queries
 Latest used in queries
 Windows: time information  and tuple based(t9, a1, a2, ... , an) (t8, a1, a2, ... , an) (t7, a1, a2, ... , an) ... ... (t1, a1, a2, ... , an) ... ... Window [t7 - t9] Streaming Data ,[object Object]
 Cheap, Noisy, Unreliable (depends)
 Low computational, power resources, storage
 Distributed query execution
 Routing, OptimizationQuery EnablingSemanticIntegration of Streaming Data Sources
Problem Statement ,[object Object]
Distributed sources
Semantic heterogeneity
Semantic data provision only for stored data
Need for live streaming continuous queriesSensor Network Database Data Integrate Decl. Query Integrated view Stream Data 4 SemanticIntegrationStreaming Data Sources
Main Research Questions ,[object Object]

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Enabling semantic integration