Abstract
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.
Similar content being viewed by others
References
Akdag Salah, A., Gao, C., Suchecki, K., & Scharnhorst, A. (2011). Generating ambiguities: Mapping category names of Wikipedia to UDC class numbers. In G. Lovink & N. Tkacz (Eds.), Critical point of view: A Wikipedia reader (pp. 63–77). Amsterdam: Institute of Network Cultures.
Börner, K. (2015). Atlas of knowledge: Anyone can map (2nd ed.). Cambridge: MIT Press.
Börner, K., Klavans, R., Patek, M., Zoss, A. M., Biberstine, J. R., Light, R. P., et al. (2012). Design and update of a classification system: The UCSD map of science. PLoS ONE, 7(7), e39464.
Börner, K., Ma, N., Biberstine, J. R., Wagner, R. M., Berhane, R., Jiang, H., et al. (2010). Introducing the Science of Science (Sci2) Tool to the Reporting Branch, Office of Extramural Research/Office of the Director, National Institutes of Health. Paper presented at the Science of Science Measurement Workshop. Retrieved from http://www.nsf.gov/sbe/sosp/social/wagner-borner.pdf.
Boyack, K. W., & Klavans, R. (2008). Measuring science-technology interaction using rare inventor-author names. Journal of Informetrics, 2, 173–182.
Boyack, K. W., & Klavans, R. (2014a). Creation of a highly detailed, dynamic, global model and map of science. Journal of the Association for Information Science and Technology, 65(4), 670–685.
Boyack, K. W., & Klavans, R. (2014b). Including non-source items in a large-scale map of science: What difference does it make? Journal of Informetrics, 8, 569–580.
Callon, M., Courtial, J.-P., Turner, W. A., & Bauin, S. (1983). From translations to problematic networks: An introduction to co-word analysis. Social Science Information, 22(2), 191–235.
Dupuich, J., & Carr, G. (2013). Case study: Developing the PLOS thesaurus. Bulletin of the American Society for Information Science and Technology, 39(2), 22–25.
Hlava, M. M. K. (2015). The taxobook: Principles and practices of taxonomy construction. San Rafael: Morgan & Claypool.
Kay, L., Newman, N., Youtie, J., Porter, A., & Rafols, I. (2014). Patent overlay mapping: Visualizing technological distance. Journal of the American Society for Information Science and Technology, 65(12), 2432–2443.
Klavans, R., & Boyack, K. W. (2009). Toward a consensus map of science. Journal of the American Society for Information Science and Technology, 60(3), 455–476.
Klavans, R., & Boyack, K. W. (2010). Toward an objective, reliable and accurate method for measuring research leadership. Scientometrics, 82(3), 539–553.
Leydesdorff, L., Carley, S., & Rafols, I. (2013a). Global maps of science based on the new Web-of-Science categories. Scientometrics, 94, 589–593.
Leydesdorff, L., Rafols, I., & Chen, C. (2013b). Interactive overlays of journals and the measurement of interdisciplinarity on the basis of aggregated journal–journal citations. Journal of the American Society for Information Science and Technology, 64(12), 2573–2586.
Leydesdorff, L., Kushnir, D., & Rafols, I. (2014). Interactive overlay maps for US patent (USPTO) data based on International Patent Classification (IPC). Scientometrics, 98, 1583–1599.
Leydesdorff, L., & Rafols, I. (2012). Interactive overlays: A new method for generating global journal maps from Web-of-Science data. Journal of Informetrics, 6, 318–332.
Leydesdorff, L., Rotolo, D., & Rafols, I. (2012). Bibliometric perspectives on medical innovation using the Medical Subject Headings of PubMed. Journal of the American Society for Information Science and Technology, 63(11), 2239–2253.
Petersen, A. M., Rotolo, D., & Leydesdorff, L. (2016). A triple helix model of medical innovation: Supply, demand, and technological capabilities in terms of Medical Subject Headings. Research Policy, 45(3), 666–681.
Rafols, I., Porter, A. L., & Leydesdorff, L. (2010). Science overlay maps: A new tool for research policy and library management. Journal of the American Society for Information Science and Technology, 61(9), 1871–1887.
van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538.
Acknowledgements
Access Innovations, Inc. is gratefully acknowledged for indexing the Astro-set using the UAT thesaurus. Mapping of the PLOS thesaurus was done as part of work done for PLOS jointly with Access Innovations, Inc. Also, this paper benefitted greatly from reviews by Andrea Scharnhorst and two anonymous reviewers.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Boyack, K.W. Thesaurus-based methods for mapping contents of publication sets. Scientometrics 111, 1141–1155 (2017). https://doi.org/10.1007/s11192-017-2304-3
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11192-017-2304-3