Sökning: "scientific stream query processing"

Visar resultat 1 - 5 av 8 avhandlingar innehållade orden scientific stream query processing.

1. 1. Scalable Scientific Stream Query Processing

   Författare :Milena Ivanova; Tore Risch; Elke A. Rundensteiner; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; data stream management systems; parallel stream processing; scientific stream query processing; user-defined stream partitioning; Computer science; Datalogi; Data- och systemvetenskap; Computer Systems Sciences;

   Sammanfattning : Scientific applications require processing of high-volume on-line streams of numerical data from instruments and simulations. In order to extract information and detect interesting patterns in these streams scientists need to perform on-line analyses including advanced and often expensive numerical computations. LÄS MER

3. 2. Optimization and Execution of Complex Scientific Queries

   Författare :Ruslan Fomkin; Tore Risch; Marianne Winslett; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; scientific databases; query processing; data streams; cost-based query optimization; query rewritings; databases and Grids; Computer science; Datavetenskap; Data- och systemvetenskap; Computer Systems Sciences;

   Sammanfattning : Large volumes of data produced and shared within scientific communities are analyzed by many researchers to investigate different scientific theories. Currently the analyses are implemented in traditional programming languages such as C++. LÄS MER

4. 3. Towards Semantically Enabled Complex Event Processing

   Författare :Robin Keskisärkkä; Eva Blomqvist; Henrik Eriksson; Daniele Dell'Aglio; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Semantic Web; RDF stream processing; Complex Event Processing; Event modeling; Query abstraction;

   Sammanfattning : The Semantic Web provides a framework for semantically annotating data on the web, and the Resource Description Framework (RDF) supports the integration of structured data represented in heterogeneous formats. Traditionally, the Semantic Web has focused primarily on more or less static data, but information on the web today is becoming increasingly dynamic. LÄS MER

5. 4. Explainable and Resource-Efficient Stream Processing Through Provenance and Scheduling

   Författare :Dimitrios Palyvos-Giannas; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Data Streaming; Scheduling; Provenance; Stream Processing;

   Sammanfattning : In our era of big data, information is captured at unprecedented volumes and velocities, with technologies such as Cyber-Physical Systems making quick decisions based on the processing of streaming, unbounded datasets. In such scenarios, it can be beneficial to process the data in an online manner, using the stream processing paradigm implemented by Stream Processing Engines (SPEs). LÄS MER

7. 5. Complex Event Processing under Uncertainty in RDF Stream Processing

   Författare :Robin Keskisärkkä; Eva Blomqvist; Olaf Hartig; Henrik Eriksson; Oscar Corcho; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : The Semantic Web provides a framework for representing, sharing, and integrating data on the Web using a set of specifications promoted by the World Wide Web Consortium (W3C). These specifications include RDF as the model for data inter-change on the Web and languages (e.g., RDFS and OWL) for defining schemas and ontologies. LÄS MER