Thesaurus-based methods for mapping contents of publication sets

Visualization of literature-related information is common in scientometrics and related fields. Despite this, relatively little work has been done to visualize knowledge organization systems, such as controlled vocabularies or thesauri. In this paper we explore the creation and use of contextual visualizations based on thesauri. Two different methods are developed for creating maps of thesaurus terms that can then be used as templates or basemaps on which to display the contents of publication sets. The first example maps first-level terms from the Unified Astronomy Thesaurus into a wheel-like (hub and spokes) configuration. This circular map can then be used to show relative positions of clusters of astronomy papers from different cluster solutions based on the thesaurus terms assigned to the papers in the clusters. The second example triangulates the entire Public Library of Science (PLOS) thesaurus onto a global map of science, and then uses the resulting map of thesaurus terms as the basis for an overlay map. This map can be used for several purposes, including mapping of subsets of PLOS content, and the identification of thesaurus terms whose rule bases may need to be changed.

[1]  Daniele Rotolo,et al.  A Triple Helix Model of Medical Innovation: Supply, Demand, and Technological Capabilities in Terms of Medical Subject Headings , 2016 .

[2]  Kevin W. Boyack,et al.  Including cited non-source items in a large-scale map of science: What difference does it make? , 2014, J. Informetrics.

[3]  魏屹东,et al.  Scientometrics , 2018, Encyclopedia of Big Data.

[4]  Kevin W. Boyack,et al.  Measuring science-technology interaction using rare inventor-author names , 2008, J. Informetrics.

[5]  Chaomei Chen,et al.  Interactive overlays of journals and the measurement of interdisciplinarity on the basis of aggregated journal-journal citations , 2013, J. Assoc. Inf. Sci. Technol..

[6]  Kevin W. Boyack,et al.  Toward an objective, reliable and accurate method for measuring research leadership , 2010, Scientometrics.

[7]  Andrea Scharnhorst,et al.  Generating Ambiguities: Mapping Category Names of Wikipedia to UDC Class Numbers , 2011 .

[8]  Kevin W. Boyack,et al.  Toward a consensus map of science , 2009, J. Assoc. Inf. Sci. Technol..

[9]  Ismael Rafols,et al.  Interactive overlays: A new method for generating global journal maps from Web-of-Science data , 2011, J. Informetrics.

[10]  Ismael Rafols,et al.  Interactive overlay maps for US patent (USPTO) data based on International Patent Classification (IPC) , 2012, Scientometrics.

[11]  Ismael Rafols,et al.  Global maps of science based on the new Web-of-Science categories , 2012, Scientometrics.

[12]  V. Larivière,et al.  Design and Update of a Classification System: The UCSD Map of Science , 2012, PloS one.

[13]  Daniele Rotolo,et al.  Bibliometric perspectives on medical innovation using the medical subject Headings of PubMed , 2012, J. Assoc. Inf. Sci. Technol..

[14]  Kevin W. Boyack,et al.  Creation of a highly detailed, dynamic, global model and map of science , 2014, J. Assoc. Inf. Sci. Technol..

[15]  Alan L. Porter,et al.  Science overlay maps: A new tool for research policy and library management , 2009, J. Assoc. Inf. Sci. Technol..

[16]  Katy Börner,et al.  Atlas of Knowledge: Anyone Can Map , 2015 .

[17]  Jonas Dupuich,et al.  Case Study: Developing the PLOS thesaurus , 2013 .

[18]  Brian Reffin Smith,et al.  Atlas of Knowledge: Anyone Can Map , 2016, Leonardo.

[19]  Alan L. Porter,et al.  Patent overlay mapping: Visualizing technological distance , 2012, J. Assoc. Inf. Sci. Technol..

[20]  M. Callon,et al.  From translations to problematic networks: An introduction to co-word analysis , 1983 .

[21]  Marjorie M. K. Hlava The Taxobook: Principles and Practices of Building Taxonomies, Part 2 of a 3-Part Series , 2014, The Taxobook, Part 2.

[22]  Ludo Waltman,et al.  Software survey: VOSviewer, a computer program for bibliometric mapping , 2009, Scientometrics.