Rotenberg, E. & Kushmerick, A. (2011). The Author
Challenge: Identification of the Self in the Scholarly Literature. Cataloging & Classification Quarterly 49(6),
503-520
This
article began as an effective examination of the problems with attribution of
scholarly scientific publications, and then submitted a given solution. The
first half distinguished attribution as a necessity for allocation of
government and grant funding, as well as for tenure decisions for individuals.
However, names can be common, and individuals can often have similar names,
making attribution tricky. Additionally, scientific scholarly output is
increasing at a rapid pace, adding more common names to the jumble.
Non-traditional forms of publication, such as web published pieces, and those
in three-dimensional models instead of writing, proliferate the scientific landscape.
Several
different international organizations are currently working on name
disambiguation, in which authors themselves claim their work. The authors
suppose that no one single company can cover all disambiguation in the world,
so disambiguation must necessarily be a collaborative effort. The international
entities linked to one another, with the authors supporting each entity in a
pseudo-folksonomic fashion can create a web of disambiguation. The web
particularly discussed was Web of Science and its particular disambiguation
community ResearchID.
Web of
Science uses an algorithm to collocate works by a single author. The difficulty
mentioned with algorithmic disambiguation within the Web of Science search
engine is that it collocates incorrectly whenever authors don’t stick to a
strict subject matter, or when authors change names. ResearchID is an attempt
to fix this difficulty. The feedback system was mentioned as a critical
component to disambiguating correctly, because human users can disambiguate in
such cases better than the algorithms, without the added cost in employee
searching.
ResearchID
offers identification numbers to each individual author, as well as citation
metrics to allow authors to disambiguate themselves. It allows interactive maps
of collaborators and citations to analyze an author’s geographic spread of
knowledge. In many programs and communities, it has been implemented to help
disambiguate authors from inventors and principle investigators. Instead of
relying solely on the metadata attached to the article itself, it pulls author
data from grant databases and other sources, and allows self-disambiguation
I find it significant that the
authors do not see fit to mention NACO, or indeed any LC disambiguation, but
only lend credence to disambiguation systems done by authors themselves rather
than catalogers. While I agree with their assessment of the value of
folksonomy-type disambiguation, I find it disingenuous not to at least mention
a divergent way of doing things, and possible criticisms. The second half of the article seemed more
and more like an advertisement for Thomson Reuters projects and products as I
continued reading. While the authors seem to believe that further
interoperability is the sole goal of future projects, I find it significant
that no mention is made of author fraud. I would think that with a
folksonomy-type system this would become an issue, or if it is not, is at least
worth a mention.
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