Search for dissertations about: "scientific stream query processing"

Showing result 1 - 5 of 8 swedish dissertations containing the words scientific stream query processing.

2. 1. Scalable Scientific Stream Query Processing

   Author : Milena Ivanova; Tore Risch; Elke A. Rundensteiner; Uppsala universitet; []
   Keywords : 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;

   Abstract : 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. READ MORE

4. 2. Optimization and Execution of Complex Scientific Queries

   Author : Ruslan Fomkin; Tore Risch; Marianne Winslett; Uppsala universitet; []
   Keywords : 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;

   Abstract : 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++. READ MORE

5. 3. Towards Semantically Enabled Complex Event Processing

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

   Abstract : 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. READ MORE

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

   Author : Dimitrios Palyvos-Giannas; Chalmers tekniska högskola; []
   Keywords : 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;

   Abstract : 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). READ MORE

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

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

   Abstract : 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. READ MORE