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  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>BIR</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>Remembering Don Swanson: Link to Bibliometric-enhanced Information Retrieval?</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Aparna Basu</string-name>
          <email>aparnabasu.dr@gmail.com</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Formerly at National Institute of Science Technology and Development Studies (CSIR-NISTADS), New Delhi and South Asian University</institution>
          ,
          <addr-line>New Delhi</addr-line>
          ,
          <country country="IN">India</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2020</year>
      </pub-date>
      <volume>14</volume>
      <abstract>
        <p>? A companion video is hosted at https://youtu.be/tEPyL-x-R1o.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>Don R. Swanson (Oct. 10, 1924 { Nov. 18, 2012) was an American
information scientist, known for his work in literature-based discovery in the biomedical
sciences. Swanson received his B.S. degree in Physics at Caltech, in 1945,
followed by an M.A, and then a PhD in Theoretical Physics from the University of
California at Berkeley in 1952. He worked as a physicist at various laboratories
until 1963, when he was made a professor and served as dean of the Graduate
School of Library Science at the University of Chicago until 1972 and again
from 1977{79 and 1987{89. In 2000, he was awarded the ASIST Award of Merit,
the highest honor of the society, for his \lifetime achievements in research and
scholarship." (Wikipedia). He developed a system called Arrowsmith to obtain
meaningful links between MEDLINE articles in the area called `Literature-based
Discovery.'</p>
      <p>
        The simple basis of Swanson's idea of what he called `undiscovered public
knowledge' was as follows. He saw that science and the scienti c literature were
divided into many specialties|partly as a result of a spontaneous response of
scientists to the exponential growth of science. Specialties further divided into
sub-specialties, each with its own literature. An unintended consequence of
specialization was fragmentation. Each specialty would have its own community
that would largely restrict itself to its own literature for study, and hence also
for citation. As the total literature grew, the number of specialties (but not in
general the size of each), increased [
        <xref ref-type="bibr" rid="ref11 ref5">4,10</xref>
        ]. It was not di cult to foresee that at
some point one could come up with complementary literatures which have some
idea or knowledge element in common,|a logical connection|but which do not
cite each other and are not co-cited. Such non-interactive literatures would be
di cult to connect using usual methods of information retrieval. Swanson
suggested that even in the 1950's it was clear that conceptual problems of greater
subtlety were involved in Information retrieval. Unfortunately, there has been
little interest in these problems in spite of the rapid development and growth of
online services since that time He called this the problem of `undiscovered public
knowledge' [
        <xref ref-type="bibr" rid="ref9">8</xref>
        ].
      </p>
      <p>The focus here is not accessing a certain body of literature with given
keywords, but looking at the relatedness between two bodies of literature. For
example, if certain environmental conditions A are known in the Biomedical literature
to cause certain symptoms B, and some disease C in the Medical literature has
symptoms B then it may be inferred that environmental conditions A could be
the cause of disease C. The signi cance of the `information explosion' is therefore
not just in the growth of literature but in the combinatorial explosion of
\unnoticed and unrecognized" mutual connections. If these knowledge fragments from
two (+) complementary and non-interactive literatures are brought together,
one may hope to gain useful information.</p>
      <p>
        With the recent introduction of Bibliometric-enhanced Information Retrieval
or BIR [
        <xref ref-type="bibr" rid="ref1 ref6">1,5</xref>
        ], the stage seems to be set for addressing more complex problems
in IR including the problem of `undiscovered public knowledge' suggested by
Swanson. The two conditions, complementarity and noninteraction describe a
model structure that shows how useful information can remain undiscovered
even though its components consist of public knowledge [
        <xref ref-type="bibr" rid="ref10 ref11">9,10</xref>
        ]. The motive for
bringing together the literatures, is to call attention to an apparently unnoticed
association that may be worth investigating. The scienti c literature is an
abstract world of human-created \objective" knowledge. It is open to exploration
and discovery, for it can contain territory that is subjectively unknown to
anyone [
        <xref ref-type="bibr" rid="ref7">6</xref>
        ].
      </p>
      <p>
        Neil Smalheiser, Swanson's long term collaborator writes of \problems and
issues which were inherent in Don's thoughts during his life, but which have
not yet been fully taken up and studied systematically" [
        <xref ref-type="bibr" rid="ref8">7</xref>
        ]. Some work done
in this direction explores the indirect associations between terms as direct
associations tend to proliferate. The proposed indirect association measures extend
traditional association measures to quantify indirect rather than direct
associations while preserving valuable statistical properties [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]. Other papers need more
investigation, see, e.g., [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ]. This abstract may be regarded as a call for a
practical research program in this direction, to look for useful knowledge, as it were,
\hidden in plain sight."
      </p>
    </sec>
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