Synthetic Classification and Diverse Communities

Authors

  • Rick Szostak University of Alberta

DOI:

https://doi.org/10.7152/acro.v29i1.15447

Keywords:

Knowledge organization systems, synthetic, post-coordinated, social diversity

Abstract

This brief paper argues that a synthetic approach to classification can alleviate all of the major concerns that are commonly raised about how Knowledge Organization Systems (KOSs) may disserve various communities. It surveys how a synthetic approach can potentially address a variety of concerns regarding KOSs and social diversity.

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Published

2019-06-28

Issue

29th ASIS SIG/CR Classification Research Workshop

Section

Articles

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