Tools And Methods For Semantic Management Of Data Provenance, Integration, And Curation To Supp[...] Lazio

Tools And Methods For Semantic Management Of Data Provenance, Integration, And Curation To Supp[...]
Roma
Lazio, Lazio

Organisation/Company: Università degli Studi Roma Tre Research Field: Engineering Researcher Profile: Recognised Researcher (R2), Leading Researcher (R4), First Stage Researcher (R1), Established Researcher (R3) Country: Italy Application Deadline: 14 Jan 2025 - 23:59 (UTC) Type of Contract: To be defined Job Status: Not Applicable Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?

No Offer Description Data quality is a fundamental property to ensure the reliability, transparency, and reproducibility of the Data Science and Machine Learning processes.

This research program aims to develop tools and methodologies to effectively manage the integration, curation, and quality checks of data, leveraging information about its provenance and making use of knowledge graphs and automated techniques.

The main goal is to enrich the semantics and reduce ambiguities in the data, optimizing its preparation for use in analysis contexts and training of Machine Learning algorithms.

Eligibility of Fellows Country/ies of residence: EUROPE Nationality/ies: Not specified #J-18808-Ljbffr