Baseline Dataset
Download a sample collection from the "Baseline" dataset composed of 1M of documents describing movies extracted from an IMDB collection
No need to learn dozen of schemas to build your queries, with EasyQ we offer the possibility to query heterogeneous collection of documents with simple knowledge about attributes names only !
EasyQ architecture
Keeps track of all stored data and it is continuously updated to have the latest collection structures
Rewrites your queries everytime they are executed to guarantee that results cover the last changes to your collection.
No need to change neither your queries, nor your application code. EasyQ offers you a transparent access to your heterogeneous documents.
We are pleased to share our synthetic dataset with the community
Download a sample collection from the "Baseline" dataset composed of 1M of documents describing movies extracted from an IMDB collection
Download a sample collections from the "Heterogeneous" dataset with 10 schemas
Download the "Schemas" dataset composed of five collections with 10, 100, 1,000, 3,000 and 5,000 schemas respectively
Download the "Loaded & Adhoc" datasets composed of five collections with 2, 4, 6, 8 and 10 schemas respectively
EasyQ is subject to the following publications
(journal paper) Information Systems, Elsiver, to appear
(regular paper) 20th International Workshop On Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP 2018)
(regular paper) 20th International Conference on Enterprise Information Systems (ICEIS 2018), Funchal, Madeira, Portugal, 21/03/2018-24/03/2018, 2018
Best Student Paper Award
(regular paper) 18éme Journées Francophones Extraction et Gestion de Connaissances (EGC 2018), Paris, 22/01/2018-26/01/2018, 2018
Best Academic Paper Award
Phd Student
Associate Professor
Associate Professor
Professor