Towards Semantometrics: A New Semantic Similarity Based Measure for Assessing a Research Publication's Contribution

[Drahomira Herrmannova]

Towards Semantometrics: A New Semantic Similarity Based Measure for
Assessing a Research Publication's Contribution

Petr Knoth and Drahomira Herrmannova. (2014). *Towards Semantometrics: A
New Semantic Similarity Based Measure for Assessing a Research
Publication's Contribution*. D-Lib Magazine, 20(11/12).

*Available at*

http://www.dlib.org/dlib/november14/knoth/11knoth.html

*Abstract*

We propose *Semantometrics*, a new class of metrics for evaluating
research. As opposed to existing Bibliometrics,Webometrics, Altmetrics,
etc., Semantometrics are not based on measuring the number of interactions
in the scholarly communication network, but build on the premise that
full-text is needed to assess the value of a publication. This paper
presents the first Semantometric measure, which estimates the research
contribution. We measure semantic similarity of publications connected in a
citation network and use a simple formula to assess their contribution. We
carry out a pilot study in which we test our approach on a small dataset
and discuss the challenges in carrying out the analysis on existing
citation datasets. The results suggest that semantic similarity measures
can be utilised to provide meaningful information about the contribution of
research papers that is not captured by traditional impact measures based
purely on citations.
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