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International Conference on Scientific and Statistical Database Management

SSDBM 2011: Scientific and Statistical Database Management pp 571–572Cite as

Keyword Search Support for Automating Scientific Workflow Composition

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6809))

Abstract

Keyword search is indispensable for locating relevant documents the web. Yet, at the same time, we have also grown aware of its limitations. It is often difficult to reach esoteric information obscured deep within various domains. For example, consider an earth science student who needs to identify how much a certain area in a nearby park has eroded since 1940 for a school project. Certainly, if this exact erosion information had previously been published onto a web page, a search engine could probably locate it effortlessly. But due to the exactness of this query, the likelihood that such a web page exists is slim. However, avenues for obtaining this information exist in the form of scientific workflows, which can be implemented using web service composition.

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References

  1. Chiu, D., Agrawal, G.: Enabling ad hoc queries over low-level scientific data sets. In: Winslett, M. (ed.) SSDBM 2009. LNCS, vol. 5566, pp. 218–236. Springer, Heidelberg (2009)

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  2. Dong, X., Halevy, A., Madhavan, J., Nemes, E., Zhang, J.: Similarity search for web services. In: Proc. of VLDB, pp. 372–383 (2004)

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  3. Goble, C.A., et al.: Myexperiment: a repository and social network for the sharing of bioinformatics workflows. Nucl. Acids Res. 429 (May 2010)

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Author information

Authors and Affiliations

  1. School of Engineering and Computer Science, Washington State University, USA

    David Chiu, Travis Hall & Farhana Kabir

  2. Dept. of Computer Science and Engineering, Ohio State University, USA

    Gagan Agrawal

Authors
  1. David Chiu
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  2. Travis Hall
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  3. Farhana Kabir
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  4. Gagan Agrawal
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Editor information

Editors and Affiliations

  1. The Evergreen State College, 98505, Olympia, WA, USA

    Judith Bayard Cushing

  2. CNRI and University of Virginia, 22908, Charlottesville, VA, USA

    James French

  3. Gonzaga University, 99258, Spokane, WA, USA

    Shawn Bowers

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© 2011 Springer-Verlag Berlin Heidelberg

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Cite this paper

Chiu, D., Hall, T., Kabir, F., Agrawal, G. (2011). Keyword Search Support for Automating Scientific Workflow Composition. In: Bayard Cushing, J., French, J., Bowers, S. (eds) Scientific and Statistical Database Management. SSDBM 2011. Lecture Notes in Computer Science, vol 6809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22351-8_41

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  • DOI: https://doi.org/10.1007/978-3-642-22351-8_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22350-1

  • Online ISBN: 978-3-642-22351-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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