Hi, I am Lina! I am a Research Associate at the Data Science and Artificial Intelligence Department at Fraunhofer FIT. I am a highly organized, results-oriented person with attention to detail and efficient communication.

I am currently working on the definition and implementation of Data Spaces. My focus is mainly on Knowledge Engineering and Semantic Data Modelling for Data Spaces. I am interested in research and application aspects related to these topics. The projects I am involved in are in the areas of Mobility, Industry 4.0, Agriculture, and Culture. I have participated in the specification of the IDS Information Model and mobilityDCAT-AP.

My main interests are related to the Web and how to create more semantically interoperable environments on it. In addition, I like to investigate how Semantic Web technologies can help industries from different domains to develop solutions to share and understand their data in a more efficient and value-added way. My experience in different areas of Computer Science helps me to have a broader vision and to produce quality results.

At a more personal level, I love music and art in general. I also love doing yoga, cooking creatively, and going for walks/hikes in nature. I enjoy a lot reading books and writing. My main interest is to continuously improve myself both professionally and personally.

Skills

• Semantic Data Modeling
• Knowledge Graphs
• Knowledge Representation
• Ontology Development and Ontology Reasoning
• Software Quality Assurance and Best Practices (including Test Strategy and Test Development)
• Software Analysis and Design
• Git
• Semantic Web Technologies and Tools (OWL, RDF, RDFS, SHACL, SPARQL, WebVOWL, Protégé )
• Python
• C and C++
• Java
• Django - Flask
• MySQL - MongoDB - PostgreSQL
• HTML - CSS - Javascript
• Scrum and Kanban
• TDD e Continuous Integration

Operating Systems

• Mac OS X
• Linux
• Windows

Languages

• English (Professional Proficiency)
• Spanish (Native)
• Guarani (Native)
• German (Intermediate)
• Dutch (Beginner)

Publications

• Towards a standard-based open data ecosystem: analysis of DCAT-AP use at national and European level
• Visual Narrative Data-Driven Storytelling
• From Large Language Models to Knowledge Graphs for Biomarker Discovery in Cancer
• A Biomedical Knowledge Graph for Biomarker Discovery in Cancer
• Establishment of a Guideline for the Intuitive Creation of Semantic Models in the Internet of Production (IoP)
• Clustering Knowledge Graphs