Sökning: "stream reasoning"

Visar resultat 1 - 5 av 11 avhandlingar innehållade orden stream reasoning.

1. 1. Robust Stream Reasoning Under Uncertainty

   Författare :Daniel de Leng; Fredrik Heintz; Patrick Doherty; Nick Hawes; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; stream reasoning; stream processing; temporal reasoning; spatial reasoning; configuration planning; intelligent robotics;

   Sammanfattning : Vast amounts of data are continually being generated by a wide variety of data producers. This data ranges from quantitative sensor observations produced by robot systems to complex unstructured human-generated texts on social media. LÄS MER

3. 2. Spatio-Temporal Stream Reasoning with Adaptive State Stream Generation

   Författare :Daniel de Leng; Fredrik Heintz; Patrick Doherty; Emanuele Della Valle; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; stream reasoning; stream processing; temporal reasoning; spatial reasoning; configuration planning; intelligent robotics;

   Sammanfattning : A lot of today's data is generated incrementally over time by a large variety of producers. This data ranges from quantitative sensor observations produced by robot systems to complex unstructured human-generated texts on social media. With data being so abundant, making sense of these streams of data through reasoning is challenging. LÄS MER

4. 3. DyKnow : A Stream-Based Knowledge Processing Middleware Framework

   Författare :Fredrik Heintz; Patrick Doherty; Michael Beetz; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer science; Datavetenskap;

   Sammanfattning : As robotic systems become more and more advanced the need to integrate existing deliberative functionalities such as chronicle recognition, motion planning, task planning, and execution monitoring increases. To integrate such functionalities into a coherent system it is necessary to reconcile the different formalisms used by the functionalities to represent information and knowledge about the world. LÄS MER

5. 4. Methods and Algorithms for Data-Intensive Computing : Streams, Graphs, and Geo-Distribution

   Författare :Hooman Peiro Sajjad; Vladimir Vlassov; Keijo Heljanko; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; stream processing; geo-distributed infrastructure; edge computing; streaming graph; dynamic graph; Informations- och kommunikationsteknik; Information and Communication Technology; Datalogi; Computer Science;

   Sammanfattning : Struggling with the volume and velocity of Big Data has attracted lots of interest towards stream processing paradigm, a paradigm in the area of data-intensive computing that provides methods and solutions to process data in motion. Today's Big Data includes geo-distributed data sources. LÄS MER

7. 5. 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