Source-linked AI summary
Scientometrics and Information Retrieval - weak-links revitalized
Philipp Mayr, Andrea Scharnhorst
TL;DR
The special issue addresses the relationship between information retrieval and scientometrics, whose communities, terminology, audiences, and goals have diverged amid growth and diversification in science. It brings together scholars’ accounts to examine their links and identify promising research and collaboration directions.
Problem
The issue examines why information retrieval and scientometrics have moved apart despite overlapping roots, amid differing audiences, goals, terminology, and a rapidly diversifying science system.
Method
The special issue brings together eight papers whose authors examine links between information retrieval and scientometrics through different scholarly perspectives and proposed research directions.
Results
The contributions identify perceptions of links between information retrieval and scientometrics and promising future lines of research and collaboration.
Takeaways & Limitations
An alliance could support benchmarking for bibliometric algorithms, knowledge exchange, interactive retrieval, and user studies of scientific information diffusion.
Abstract
from arXiv · showhide
This special issue brings together eight papers from experts of communities which often have been perceived as different once: bibliometrics, scientometrics and informetrics on the one side and information retrieval on the other. The idea of this special issue started at the workshop "Combining Bibliometrics and Information Retrieval" held at the 14th International Conference of Scientometrics and Informetrics, Vienna, July 14-19, 2013. Our motivation as guest editors started from the observation that main discourses in both fields are different, that communities are only partly overlapping and from the belief that a knowledge transfer would be profitable for both sides.