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MOSAIC: A Cohesive Method for Orchestrating Discrete Analytics in a Distributed Model

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Natural Language Processing and Information Systems (NLDB 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7934))

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Abstract

Achieving an HLT analytic architecture that supports easy integration of new and legacy analytics is challenging given the independence of analytic development, the diversity of data modeling, and the need to avoid rework. Our solution is to separate input, artifacts, and results from execution by delineating different subcomponents including an inbound gateway, an executive, an analytic layer, an adapter layer, and a data bus. Using this design philosophy, MOSAIC is an architecture of replaceable subcomponents built to support workflows of loosely-coupled analytics bridged by a common data model.

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Author information

Authors and Affiliations

  1. MITRE Corporation, 300 Sentinel Drive, Annapolis Junction, MD, 20701, USA

    Ransom Winder, Joseph Jubinski, John Prange & Nathan Giles

Authors
  1. Ransom Winder
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  2. Joseph Jubinski
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  3. John Prange
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  4. Nathan Giles
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Editor information

Editors and Affiliations

  1. Conservatoire National des Arts et Métiers, 2 rue Conté, 75003, Paris, France

    Elisabeth Métais

  2. School of Computing, Science and Engineering, University of Salford, The Crescent, M5 4WT, Salford, Lancashire, UK

    Farid Meziane  & Sunil Vadera  & 

  3. School of Computing Science and Engineering, University of Salford, The Crescent, M5 4WT, Salford, Lancashire, UK

    Mohamad Saraee

  4. Department of Decision and Information Sciences School of Business Administration, Oakland University, 306 Elliott Hall, 48309, Rochester, MI, USA

    Vijayan Sugumaran

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© 2013 Springer-Verlag Berlin Heidelberg

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Winder, R., Jubinski, J., Prange, J., Giles, N. (2013). MOSAIC: A Cohesive Method for Orchestrating Discrete Analytics in a Distributed Model. In: Métais, E., Meziane, F., Saraee, M., Sugumaran, V., Vadera, S. (eds) Natural Language Processing and Information Systems. NLDB 2013. Lecture Notes in Computer Science, vol 7934. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38824-8_22

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  • DOI: https://doi.org/10.1007/978-3-642-38824-8_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38823-1

  • Online ISBN: 978-3-642-38824-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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