On models and query languages for probabilistic processes

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On models and query languages for probabilistic processes
Probabilistic processes appear naturally in various contexts, with applications to Business Processes, XML data management and more. Many models for specifying and querying such processes exist in the literature; a main goal of research in this area is to design models that are expressive enough to capture real-life processes and analysis tasks, but at the same time allow for efficient query evaluation. We depict the model established in [13, 16, 17, 18], and claim that it achieves a good balance between expressivity and query evaluation complexity. We compare and contrast the model with other common models for probabilistic processes, highlighting the different choices made in models design and their effect on expressivity and incurred complexity.
Daniel Deutch, Tova Milo
Added 21 May 2011
Updated 21 May 2011
Type Journal
Year 2010
Authors Daniel Deutch, Tova Milo
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