OCLC Researchers Wang and Koopman Publish Four Articles in Special Issue of Scientometrics Journal
The journal Scientometrics has published a special issue dedicated to the theme "Same Data—Different Results?" which the editors intend "as the beginning of a specific methodological discourse which hopefully will spread throughout the bibliometrics community."
The issue contains four articles describing the Ariadne project, conducted by Shenghui Wang, OCLC Research Scientist, and Rob Koopman, OCLC Architect, who are based in Leiden in the Netherlands. This work represents the culmination of more than two years of collaboration with European researchers affiliated with universities, libraries and cultural heritage institutions.
The four articles (listed below) demonstrate the implications of the algorithms developed in the Ariadne project for indexing, bibliometrics, information retrieval and entity identification.
- Koopman, Rob, Shenghui Wang, and Andrea Scharnhorst. "Contextualization of topics—browsing through the universe of bibliographic information." Scientometrics (2017). doi:10.1007/s11192-017-2303-4
- Koopman Rob, and Shenghui Wang. "Mutual information based labelling and comparing clusters." Scientometrics (2017). doi:10.1007/s11192-017-2305-2
- Wang, Shenghui, and Rob Koopman. "Clustering articles based on semantic similarity." Scientometrics (2017). doi:10.1007/s11192-017-2298-x
- Velden, Theresa, Kevin W. Boyack, Jochen Gläser, Rob Koopman, Andrea Scharnhorst, and Shenghui Wang. "Comparison of topic extraction approaches and their results." Scientometrics (2017). doi:10.1007/s11192-017-2306-1.