International Workshop on Databases in Networked Information Systems

DNIS 2014: Databases in Networked Information Systems pp 112-131

A Dataflow Platform for In-silico Experiments Based on Linked Data

  • Paolo Bottoni
  • Miguel Ceriani
Conference paper

DOI: 10.1007/978-3-319-05693-7_7

Volume 8381 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Bottoni P., Ceriani M. (2014) A Dataflow Platform for In-silico Experiments Based on Linked Data. In: Madaan A., Kikuchi S., Bhalla S. (eds) Databases in Networked Information Systems. DNIS 2014. Lecture Notes in Computer Science, vol 8381. Springer, Cham

Abstract

A big part of the work carried out by scientists nowadays involves data manipulation: access and integration of different local and online datasets, filtering for relevant information, aggregating and visualising the data to look for or defend hypotheses. The Linked Data Initiative is pushing dataset maintainers to publish data in a highly reusable way through a set of open standards, such as RDF and SPARQL. The adoption of these technologies in the scientific community is still marginal, partly for the limits of the available tools for consuming and manipulating data. We present a concrete pipeline language and a working prototype (including a visual editor and a pipeline engine) by which users can build and share applications consuming and visualising linked data.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Paolo Bottoni
    • 1
  • Miguel Ceriani
    • 1
  1. 1.SapienzaUniversity of RomeItaly