NDLI: Enabling semantic integration of streaming data sources.

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Enabling semantic integration of streaming data sources.

Content Provider	CiteSeerX
Researcher	Calbimonte, Jean-Paul
Abstract	Abstract. We propose a distributed ontology-based approach for integration of streaming live data sources, using extensions of SPARQL for streams and declarative mappings for query rewriting. The challenge of exposing live data from streams such as those provided by sensor networks, using semantically rich models and queries is becoming more relevant nowadays. The goal of this PhD thesis 1 is to investigate, analyse and propose solutions that bridge the gap between semantic data access, streaming query evaluation and data integration. 1 Problem Statement Nowadays in scientific and industrial environments, the amount of data in form of heterogeneous streams is becoming one of the main sources of information and knowledge acquisition. Advances in wireless communications and sensor technologies have enabled the deployment of networks of interconnected devices capable of ubiquitous data capture, processing and delivery of such streams. Many solutions for accessing and processing this type of data have been
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Subject Keyword	Streaming Data Source Semantic Integration Declarative Mapping Query Evaluation Wireless Communication Distributed Ontology-based Approach Sensor Network Problem Statement Nowadays Sensor Technology Relevant Nowadays Interconnected Device Rich Model Knowledge Acquisition Semantic Data Access Main Source Query Rewriting Live Data Many Solution Phd Thesis Industrial Environment Heterogeneous Stream Ubiquitous Data Capture Live Data Source Data Integration
Content Type	Text
Resource Type	Thesis

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