• Artist migration through the biographer’s lens: A case study based on biographical data retrieved from the Austrian Biographical Dictionary

    Author(s):
    Maximilian Kaiser (see profile) , Katalin Lejtovicz, Peter Alexander Rumpolt, Matthias Schlögl
    Date:
    2018
    Group(s):
    Digital Art History, Digital Humanists
    Subject(s):
    Art, History, Digital humanities, Computer art, Prosopography, Nineteenth century
    Item Type:
    Article
    Tag(s):
    biographical dictionary, spatial history of art, Art history, Digital art history, 19th-century art
    Permanent URL:
    http://dx.doi.org/10.17613/15pb-fc78
    Abstract:
    A lexicon like the Österreichisches Biographisches Lexikon 1815–1950 (Austrian Biographical Dictionary) seems to be as all in one cast because it is built on a set of formal rules for writing articles and some strict but basic criteria for the incorporation of new entries. The human reader can find information within that resource to a wide range of topics as well as detailed information about the life and career paths of historical individuals. An attempt to systematically analyze this information in a larger scale, however, must be condemned to fail without the help of computational methods. In a first stage it is therefore necessary to structure the biographical text for the machine. Pieces of information, the so called biographical building blocks, can be identified in two ways: through natural language processing methods and by manually annotation. Both processes which are intertwined and done in a custom-built virtual research environment provide the existing biographical data at hand for the analyses following in later stages. This paper aims at describing the data collection process on the example of place names which can be found in artist biographies and demonstrate possible use cases for historical network research. In this context it is also outlined how this field of research can benefit particularly from biographical data.
    Metadata:
    xml
    Published as:
    Journal article     Show details
    Pub. DOI:
    https://doi.org/10.25517/jhnr.v2i1.33
    Pub. Date:
    3.12.2018
    Journal:
    Journal of Historical Network Research
    Volume:
    2
    Issue:
    1
    Page Range:
    76 - 108
    ISSN:
    2535-8863
    Status:
    Published
    Last Updated:
    4 years ago
    License:
    All Rights Reserved

    Downloads

    Item Name: pdf 33-article-text-239-4-10-20181210.pdf
      Download View in browser
    Activity: Downloads: 380

    Back to Deposits