posted by user: janschulz || 3123 views || tracked by 6 users: [display]

iConference 2013 : iConference Workshop on Computational Scientometrics: Theory and Applications

FacebookTwitterLinkedInGoogle

Link: http://www.ischools.org/iConference13/workshop9/
 
When Feb 12, 2013 - Feb 15, 2013
Where Dallas Fort Worth, USA
Submission Deadline Jan 10, 2013
Notification Due Jan 25, 2013
Final Version Due Jan 30, 2013
Categories    bibliometrics   impact measurements   publication mining
 

Call For Papers

================================ Call for Workshop Papers ==========================
iConference Workshop 2013:
Computational Scientometrics: Theory and Applications

Dallas Fort Worth, TX, USA
February 12 - 15, 2013
URL: http://www.ischools.org/iConference13/workshop9/
===============================================================================

WORKSHOP ORGANIZERS
--------------------------------------

Cornelia Caragea, University of North Texas, TX, USA
C. Lee Giles, Pennsylvania State University, PA, USA
Vetle I. Torvik, University of Illinois at Urbana-Champaign, IL, USA
Lior Rokach, Ben-Gurion University of the Negev, Israel


IMPORTANT DATES
----------------------------

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

CALL FOR PAPERS
----------------------------

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.

SUBMISSIONS
---------------------
Authors are invited to submit manuscripts electronically, by January 10, 2013.
Submissions must be sent by email to ccaragea@unt.edu.
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.

Related Resources

CLNLP 2025   2025 2nd International Conference on Computational Linguistics and Natural Language Processing
ICCIA--EI 2025   2025 10th International Conference on Computational Intelligence and Applications (ICCIA 2025)
ICCIA 2025   2025 10th International Conference on Computational Intelligence and Applications (ICCIA 2025)
NAACL 2025   North American Chapter of the Association for Computational Linguistics
SACI 2025   19th IEEE International Symposium on Applied Computational Intelligence and Informatics
ACL 2025   The 63rd Annual Meeting of the Association for Computational Linguistics
ISCSIC 2025   2025 9th International Symposium on Computer Science and Intelligent Control(ISCSIC 2025)
21st AIAI 2025   21st (AIAI) Artificial Intelligence Applications and Innovations
CETA--EI 2025   2025 4th International Conference on Computer Engineering, Technologies and Applications (CETA 2025)
25th EANN/EAAAI 2025   25th (EANN/EAAAI) Engineering Applications and Advances of of Artificial Intelligence