|11 April 2021||A member of each active team is kindly requested to fill this form to notify the composition of the team (remember that a participant can be member of only one team).|
|08 April 2021||The new datasets are now included in the latest release of Snowman, which also adds several new features to the software.|
|07 April 2021||NotebookLarge and Altosight dataset are available!
The submissions are now evaluated on the three official datasets.
|06 April 2021||We are getting ready for the release, the evaluation system will be back tomorrow... together with two new datasets!|
|30 March 2021||Microsoft and SequoiaDB are the sponsors
of the contest!
Awards are published in Contest Overview section.
|23 March 2021||In the dedicated Evaluation Process section,
you can now see the ReproUnzip commands used for the evaluation.
Hope they can help you!
|10 March 2021||The second phase of the contest is ready to start!
Solutions are now evaluated on the official Notebook dataset.
|09 March 2021||The first official dataset (Notebook) is now available!
You can also download it together with Snowman.
|03 March 2021||The first official dataset will be published on 09 March 2021.|
|25 February 2021||Team registration and solution submission are now open!
Please check the dedicated Submitting section in the Task page.
|18 February 2021||The new contest page is up!
Please check the task and discover the toy dataset!
Student teams from degree-granting institutions are invited to compete in the annual SIGMOD Programming Contest. This year, the subject of the contest is to construct an Entity Resolution system. Teams' submissions will be judged on their performance on a set of supplied datasets.
This year's contest is brought to you by the DBGroup at University of Modena and Reggio Emilia and by the Database Research Group at Roma Tre University. The organizing team is made up of Donatella Firmani (co-chair), Giovanni Simonini (co-chair), Andrea De Angelis and Luca Zecchini.
For this year's contest, the task is Entity Resolution. Entity Resolution (ER) is the problem of identifying and matching different manifestations of the same real-world entity in a dataset.
For this task, you need to identify which instances represent the same real-world object. You are asked to solve Entity Resolution on several datasets, each one containing a different type of object (e.g., people, products, movies, etc.) and different distributions of data and noise. The challenge is to develop an Entity Resolution system for matching the instances representing the same real-world object with high precision and recall, over all the datasets.
More details about this year's problem can be found on the Task page.
|18 February 2021||New site up. Contest requirements specification and toy dataset available.|
|25 February 2021||Team registration begins. Leaderboard available.|
|09 March 2021||First official dataset (Notebook) available together with Snowman.|
|07 April 2021||NotebookLarge and Altosight datasets available.|
|25 April 2021
(anywhere on Earth)
|Final submission deadline.|
|30 April 2021||Finalists notified.|
|20-25 June 2021||ACM SIGMOD/PODS 2021 Conference.|