31 lines
3.4 KiB
Plaintext
31 lines
3.4 KiB
Plaintext
=The Probabilistic Database Use Cases and Benchmarking Project=
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Probabilistic databases are a new type of database systems that have created a substantial amount of excitement among data management researchers recently. Probabilistic databases will allow for important new database applications both in science and industry. The goal of this project is to create and assemble resources for advancing the state of the art in the nascent technology of probabilistic databases. Our long term goal is to establish a credible and representative set of **use cases** and develop a **benchmark** for probabilistic databases.
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To date, it is still too early for a serious benchmark. Probabilistic databases are still in their infancy, and we cannot see a convergence of approaches yet. Such a convergence should at this point also not be considered a priority, because an attempt to create standardized functionality and database languages may discourage creativity.
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However, to establish the credibility of probabilistic database research and to make further progress in creating scalable probabilistic database technology, it is important to establish realistic use cases. The existence of many exciting applications is postulated in various research papers, but few realistic use cases have been proposed and described in sufficient detail to make them verifiable. Such use cases will be needed to convince the data management research community in the wider sense as well, the IT industry, and users. The success of probabilistic databases will ultimately depend on clearly stated and verified use cases. Moreover, it is important to collect real or at least realistic datasets and query workloads to test prototype systems against, and to make the research advances required to turn probabilistic databases into a useful technology.
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==Resources==
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* [[Datasets|Usecases, Datasets, data generators, and queries]] for experimenting with probabilistic databases
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==Members of the Working Group==
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* [[http://www.cs.cornell.edu/%7Elantova/|Lyublena Antova]], Cornell University ([[http://www.cs.cornell.edu/bigreddata/maybms/|MayBMS Project]])
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* [[http://i.stanford.edu/%7Eanishds/|Anish Das Sarma]], Stanford University ([[http://infolab.stanford.edu/trio/|Trio Project]])
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* [[http://www.cs.umd.edu/%7Eamol/|Amol Deshpande]], University of Maryland (PrDB Project, [[http://www.cs.umd.edu/%7Eamol/MauveDB/|MauveDB Project]])
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* [[http://www.almaden.ibm.com/cs/people/peterh/|Peter Haas]], IBM Almaden Research Center (MCDB Project)
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* [[http://www.comlab.ox.ac.uk/people/dan.olteanu/|Dan Olteanu]], Oxford University ([[http://www.cs.cornell.edu/bigreddata/maybms/|MayBMS Project]], [[http://web.comlab.ox.ac.uk/projects/SPROUT/|SPROUT Project]])
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* [[http://www.cs.washington.edu/homes/chrisre/|Christopher Ré]], University of Washington ([[http://mystiq.cs.washington.edu/|Mystiq Project]])
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* [[http://infolab.stanford.edu/%7Etheobald/|Martin Theobald]], Max Planck Institut fuer Informatik ([[http://infolab.stanford.edu/trio/|Trio Project]])
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* [[http://wwwhome.cs.utwente.nl/%7Ekeulen/|Maurice van Keulen]], University of Twente
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* [[http://www.cs.cornell.edu/%7Ekoch/|Christoph Koch]], Cornell University ([[http://www.cs.cornell.edu/bigreddata/maybms/|MayBMS Project]]), moderator, contact
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==Affiliates==
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* [[http://www.cs.umd.edu/%7Egetoor/|Lise Getoor]], University of Maryland
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* [[http://www.cs.washington.edu/homes/suciu/|Dan Suciu]], University of Washington ([[http://mystiq.cs.washington.edu/|Mystiq Project]]) |