Survey on Entity Resolution and Similarity Joins

Survey on Entity Resolution and Similarity Joins

The paper “Blocking and Filtering Techniques for Entity Resolution: A Survey”, by George Papadakis, Dimitrios Skoutas, Emmanouil Thanos and Themis Palpanas, has been published in ACM Computing Surveys. This survey reviews a large number of works under two different but […]

SIGMOD 2020 Panel

Prof. Anastasia Ailamaki participates in the SIGMOD 2020 Plenary Panel “The Next 5 Years: What Opportunities Should the Database Community Seize to Maximize its Impact?” The panel will take place on Tuesday, June 16, 10:30 AM – 12:00 PM Pacific […]

Webinar: Data Analytics and Machine Learning Made Simple

SmartDataLake participates in a joint Webinar with INFORE and ExtremeEarth projects. The title of the Webinar is “SIMPLIFY – Data Analytics and Machine Learning Made Simple”, and it will take place on 11th of June 2020, 10am – 11am CEST. […]

SIGMOD 2020

The paper “Adaptive HTAP through Elastic Resource Scheduling”, by Aunn Raza, Periklis Chrysogelos, Angelos Christos Anadiotis and Anastasia Ailamaki, has been accepted in SIGMOD 2020. In this paper, we approach HTAP as a scheduling problem, addressed at runtime through elastic […]

CIDR 2020

The paper “GPU-accelerated data management under the test of time”, by Aunn Raza, Periklis Chrysogelos, Panagiotis Sioulas, Vladimir Indjic, Angelos Christos Anadiotis and Anastasia Ailamaki, was presented at CIDR 2020. This paper focuses on the evolution of GPU-accelerated systems in […]

Project Facts
SmartDataLake is a Research and Innovation action funded by the Horizon 2020 Framework Programme of the European Union.

Project Full Title: Sustainable Data Lakes for Extreme-Scale Analytics

Topic: ICT-12-2018-2020 - Big Data technologies and extreme-scale analytics

Grant Agreement No: 825041

Duration: 36 months (1/2019 – 12/2021)

Coordinated by : IMSI / Athena RC