Science models as value-added services for scholarly information systems

Peter Mutschke (), Philipp Mayr, Philipp Schaer and York Sure
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Peter Mutschke: GESIS-Leibniz Institute for the Social Sciences
Philipp Mayr: GESIS-Leibniz Institute for the Social Sciences
Philipp Schaer: GESIS-Leibniz Institute for the Social Sciences
York Sure: GESIS-Leibniz Institute for the Social Sciences

Scientometrics, 2011, vol. 89, issue 1, No 22, 349-364

Abstract: Abstract The paper introduces scholarly Information Retrieval (IR) as a further dimension that should be considered in the science modeling debate. The IR use case is seen as a validation model of the adequacy of science models in representing and predicting structure and dynamics in science. Particular conceptualizations of scholarly activity and structures in science are used as value-added search services to improve retrieval quality: a co-word model depicting the cognitive structure of a field (used for query expansion), the Bradford law of information concentration, and a model of co-authorship networks (both used for re-ranking search results). An evaluation of the retrieval quality when science model driven services are used turned out that the models proposed actually provide beneficial effects to retrieval quality. From an IR perspective, the models studied are therefore verified as expressive conceptualizations of central phenomena in science. Thus, it could be shown that the IR perspective can significantly contribute to a better understanding of scholarly structures and activities.

Keywords: Retrieval system; Value-added services; Science models; IR; Re-ranking; Evaluation (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (13)

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DOI: 10.1007/s11192-011-0430-x

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