CSTA 2013 - International Workshop on Computational Scientometrics: Theory and Applications

As science advances, scientists around the world continue to produce large numbers of research articles, which provide the technological basis for worldwide collection, sharing, and dissemination of scientific discoveries. Understanding how research ideas emerge, evolve, or disappear as a topic, what is a good measure of quality of published works, what are the most promising areas of research, how authors connect and influence each other, who are the experts in a field, what works are similar, and who funds a particular research topic are some of the major foci of the rapidly emerging field of Scientometrics. Digital libraries and other databases that store research articles have become a medium for answering such questions. The recent developments in data mining, machine learning, NLP, and IR makes it possible to transform the way we analyze research publications, funded proposals, patents, etc., on a web-wide scale. The primary goal of the workshop is to promote both theoretical results and practical applications to better answer the above questions and address challenges that are faced by todayâ?™s researchers as well as well-known technological companies such as Microsoft and Google and publishers such as Elsevier. The workshop aims at bringing together researchers with diverse interdisciplinary backgrounds interested in mining large digital libraries and other relevant databases.
Organizers
Cornelia Caragea, University of North Texas, USA
C. Lee Giles, Pennsylvania State University, USA
Lior Rokach, Ben-Gurion University of the Negev, Israel
Xiaozhong Liu, Indiana University Bloomington, USA
Worshop website: http://www.cse.unt.edu/~ccaragea/CIKM-WS-13.html