Call for Challenge

TASK DESCRIPTION

This challenge is entity type prediction over linked data. In this challenge, 1897 URLs are provided and 1397 of them are provided with label information. The task is the classification of the 500 unlabeled URLs. The linked data about all the 1897 URLs are also provided.

Train/Test Data and Evaluation are described in PDF version. CallForChallenge.pdf


SUBMISSION GUIDELINE

Each submission include: 1) the result file, and 2) the associated documentation with environment setting and algorithm description. The above materials should be sent to both kliu@nlpr.ia.ac.cn and jfdu@gdufs.edu.cn before the deadline, and the email title should be 'teamname+datachallenge'.

The result file should be named "result.dat", and the format must be the same as that of train.dat, i.e. each line contains two columns, URL and the label, and the two columns are separated by tab.

The associated documentation should be named “datachallenge.pdf” and provided in the PDF format, using the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS). The document must be no longer than *5* pages.

If you have any questions, please contact jfdu@gdufs.edu.cn.

 

IMPORTANT DATE

Submission Deadline: Nov 1, 2015

Notification Deadline: Nov 4, 2015

AWARDS

  • First Prize: 2,000 RMB

  • Second Prize: 1,000 RMB

  • Third Prize: 500 RMB

The top 3 teams may be invited with free registration to present their solutions in the meeting.

CONTACT US


JIST 2015 Local Organization Office:


Web and Intelligent Computing Research Team

College of Computer Science and Technology

Wuhan University of Science and Technology

Huangjiahu Campus, Hongshan Dist.

Wuhan 430064, Hubei, China

E-mail: simongu [AT] gmail.com