• Date: 02/12/2013
  • Country: USA
  • City: Fort Worth (Texas)
  • Format: Workshop
  • Organiser: Cornelia Caragea; C. Lee Giles; Vetle I. Torvik, Lior Rokach

Important Dates:

Submission deadline: January 10, 2013
Notification of acceptance: January 25, 2013
Camera-ready: January 30, 2013
Workshop: February 12, 2013


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.

Call for Papers:

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 today’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. The topics of interest include, but are not limited to:

New approaches to measuring the impact of research publications as well as the impact of researchers in a particular field of study.

Identifying influential authors, experts, and collaborators within or across disciplines
Modeling the referencing behavior across disciplines
Automatic citation recommendation

Mining large digital libraries of scientific publications and linking to other databases such as funded proposals and patents: Identifying research trends and topics

Extracting relevant information from research articles
Scaling up machine learning algorithms to large datasets
Classification and clustering of scientific publications, funded proposal, patents, etc.
Linking together various entities, e.g., articles with articles by similarity, articles with the corresponding funded proposals.
Presenting open-access, novel datasets (e.g., based on Wikipedia, DBpedia, United States Census Bureau data) that can be linked to entities in digital libraries, and can help researcher develop novel technologies for analyzing scientific publications.


Authors are invited to submit manuscripts electronically, by January 10, 2013. Submissions must be sent by email to Each paper will be reviewed by three Program Committee members.

Paper Format:

Papers must be written in English.
Papers must be up to 4 pages in length and in PDF format.
Papers must be formatted according to the iConference template available on the Author Instructions page.

For more information about the workshop, please visit our workshop website.


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