Profile summary

Key skills

• Semantic Web

• Recommender Systems

• Linked Data

• Statistics

• Data Analytics

• Programming languages: Python, SWI-prolog, PHP, Javascript

Valentina Maccatrozzo, MSc

eScience Research Engineer

Profile summary

Key skills

Semantic Web

Recommender Systems

Linked Data

Statistics

Data Analytics

Programming languages: Python, SWI-prolog, PHP, Javascript

In the last five years, Valentina has been a PhD student affiliated with the Web & Media Group (VUA Computer Science Department), supervised by prof. Guus Schreiber, and by prof. Lora Aroyo.

The focus of her PhD is on the use of Semantic Web technologies to enhance Recommender Systems. In particular, Valentina investigated how to improve the description of the items to recommend with information gathered from different Linked Data sources.

The objective of Valentina's research is to improve the serendipity of recommendations. During the last year, she has also been employed by Huygens ING as a scientific programmer, where she developed a tool to enrich historical data with Linked Open Data sources.

Related projects

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