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Inductive Databases and Constraint-Based Data Mining pp 289–309Cite as

SINDBAD and SiQL: Overview, Applications and Future Developments

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Abstract

The chapter gives an overview of the current state of the Sindbad system and planned extensions. Following an introduction to the system and its query language SiQL, we present application scenarios from the areas of gene expression/regulation and small molecules. Next, we describe a web service interface to Sindbad that enables new possibilities for inductive databases (distributing tasks over multiple servers, language and platform independence, …). Finally, we discuss future plans for the system, in particular, to make the system more ‘declarative’ by the use of signatures, to integrate the useful concept of mining views into the system, and to support specific pattern domains like graphs and strings.

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Authors and Affiliations

  1. Institut für Informatik I12, Technische Universität München, Boltzmannstr. 3, 85748, Garching b. München, Germany

    Jörg Wicker, Lothar Richter & Stefan Kramer

Authors
  1. Jörg Wicker
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  2. Lothar Richter
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  3. Stefan Kramer
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Correspondence to Jörg Wicker .

Editor information

Editors and Affiliations

  1. , Department of Knowledge Technologies, Jozef Stefan Institute, Jamova 39, Ljubljana, 1000, Slovenia

    Sašo Džeroski

  2. , Mathematics and Computer Science, University of Antwerp, Middelheimlaan 1, Antwerpen, B-2020, Belgium

    Bart Goethals

  3. , Dept. of Knowledge Technologies, Jožef Stefan Institute, Jamova cesta 39, Ljubljana, SI-1000, Slovenia

    Panče Panov

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Wicker, J., Richter, L., Kramer, S. (2010). SINDBAD and SiQL: Overview, Applications and Future Developments. In: Džeroski, S., Goethals, B., Panov, P. (eds) Inductive Databases and Constraint-Based Data Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-7738-0_12

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  • DOI: https://doi.org/10.1007/978-1-4419-7738-0_12

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  • Print ISBN: 978-1-4419-7737-3

  • Online ISBN: 978-1-4419-7738-0

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