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Cristina Giancristofaro

Cristina Giancristofaro

Multidisciplinary Scientist | Semantic Web Expert | Digital Heritage Architect | Data Structuring & Labelling

United Kingdom flagEpsom, United Kingdom
$50.00/hrEntry Level

Key Skills

Software

No software listed

Top Subject Matter

Scientific and Historical Research Data
Front end development, web design and Semantic web
Italian teacher

Top Data Types

TextText
ImageImage

Top Task Types

ClassificationClassification

Freelancer Overview

ResearchSpace Platform Data Structuring & Labeling. Brings 12+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, University of Siena (2013) and Master of Science, University of Rome "La Sapienza" (2012). AI-training focus includes data types such as Text and labeling workflows including Classification.

Entry LevelEnglishItalian

Labeling Experience

ResearchSpace Platform Data Structuring & Labeling (Kartography CIC)

TextClassification
Refined and structured research data for AI training and semantic platform development. Transformed legacy data into Linked Open Data for collaborative research. Ensured high-quality classification processes for high-density scientific information. • Developed intuitive interfaces for data interpretation • Focused on semantic mapping and controlled vocabularies • Utilized semantic web technologies for data structuring • Supported machine-readable, labeled datasets

Refined and structured research data for AI training and semantic platform development. Transformed legacy data into Linked Open Data for collaborative research. Ensured high-quality classification processes for high-density scientific information. • Developed intuitive interfaces for data interpretation • Focused on semantic mapping and controlled vocabularies • Utilized semantic web technologies for data structuring • Supported machine-readable, labeled datasets

2022 - 2025

Semantic Data Labeling & Annotation for The British Museum

TextClassification
Created controlled vocabularies and semantic mappings for labeling archaeological and conservation records. Structured and annotated legacy museum data into dynamic, linked data systems optimal for AI consumption. Focused on enhancing long-term knowledge preservation through accurate data annotation. • Migrated static records to linked data architecture • Ensured consistency in data labels and taxonomy • Utilized RDF/OWL standards for semantic annotation • Facilitated downstream AI modeling and data extraction

Created controlled vocabularies and semantic mappings for labeling archaeological and conservation records. Structured and annotated legacy museum data into dynamic, linked data systems optimal for AI consumption. Focused on enhancing long-term knowledge preservation through accurate data annotation. • Migrated static records to linked data architecture • Ensured consistency in data labels and taxonomy • Utilized RDF/OWL standards for semantic annotation • Facilitated downstream AI modeling and data extraction

2018 - 2021

Education

U

University of Siena

Master of Science, Open Source Technologies for Cultural Heritage

Master of Science
2013 - 2013
U

University of Rome "La Sapienza"

Master of Science, Science Applied to Cultural Heritage

Master of Science
2012 - 2012

Work History

K

Kartography CIC

Director and UI & Front-end Lead

London
2022 - 2025
T

The British Museum

ResearchSpace Project Curator

London
2018 - 2021