Level-Wise Exploration of Linked and Big Data Guided by Controlled Vocabularies and Folksonomies

Authors

  • Periklis Andritsos University of Toronto
  • Patrick Keilty University of Toronto

DOI:

https://doi.org/10.7152/acro.v24i1.14670

Abstract

This paper proposes a level-wise exploration of linked and big data guided by controlled vocabularies and folksonomies. We leverage techniques from both Reconstructability Analysis and cataloging and classification research to provide solutions that will structure and store large amounts of metadata, identify links between data, and explore data structures to produce models that will facilitate effective information retrieval.

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Published

2014-01-09

Issue

24th ASIS SIG/CR Classification Research Workshop

Section

Papers

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