Data Engineering and Semantics Research Unit

The Data Engineering and Semantics Research Unit (UR21ES01) was created in 2021 as a structure for the coordination and proliferation of research works about intelligent systems driven by knowledge resources. The Unit's mission is to develop computer applications for automating several interesting tasks in multiple areas of interest.
Data Engineering and Semantics Research Unit

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Latest News

Last updated on Aug 24, 2023 1 min read
Wikimania 16-19 August 2023
Wikimania 16-19 August 2023

Houcemeddine Turki represents the Data Engineering and Semantics Research Unit to share our cutting-edge @WikiResearch projects and experience.

Last updated on Jun 8, 2023 1 min read
DESLab official partner of the AI RISE program
DESLab official partner of the AI RISE program

The German Agency for International Cooperation (GIZ) Tunisia launched a call for applications for a support programme to promote the use of artificial intelligence (AI) for economic growth. The eight-month AI RISE PROGRAMME is geared towards AI startups and small and medium-sized enterprises, GIZ said. It will help connect target startups and SMEs with public and private sector enterprises in a bid to co-create AI solutions meeting the challenges they face.

Last updated on Jun 8, 2023 1 min read
Montasser AKERMI Wins First Prize in In-Com Challenge

We are proud to announce that our PhD researcher, Montasser AKERMI, has won first prize in the In-Com Challenge. The competition was held from March 2022 to March 2023, and Montasser’s project was awarded first prize for its innovative approach to addressing Sustainable Development Goals (SDGs).

Last updated on May 14, 2022 4 min read
Amina Amara PhD thesis defense

Title: A deep learning-based approach for anchor user modeling across online social networks under a big data environment.

Supervisors: Mohamed BEN AOUICHA & Mohamed Ali HADJ TAEIB

Defense Date: 26 may 2022

Last updated on May 14, 2022 2 min read
Call for contribution to the research topic: Linked Open Bibliographic Data for Real-time Research Assessment

Currently, large databases of open bibliographic metadata have been created and made available online in the age of open science. These resources are easily findable, accessible, interoperable, and reusable thanks to their online hosting and their representation as RDF (Resource Description Framework) knowledge graphs, and could be easily aligned together thanks to a set of unique identifiers such as ORCID ID, Wikidata ID, and DOI.

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