My research focuses on improving information access using both structured and unstructured sources of information. I am currently working on making knowledge graphs more accessible to the end-user in search applications by describing & contextualizing their content.
Weakly-supervised Contextualization of Knowledge Graph Facts [pdf|data]
Nikos Voskarides, Edgar Meij, Ridho Reinanda, Abhinav Khaitan, Miles Osborne, Giorgio Stefanoni, Kambadur Prabhanjan and Maarten de Rijke.
Generating Descriptions of Entity Relationships [pdf|data]
Nikos Voskarides, Edgar Meij, and Maarten de Rijke.
Learning to Explain Entity Relationships in Knowledge Graphs [pdf|data]
Nikos Voskarides, Edgar Meij, Manos Tsagkias, Maarten de Rijke and Wouter Weerkamp.
Query-dependent contextualization of streaming data [pdf|data]
Nikos Voskarides, Daan Odijk, Manos Tsagkias, Wouter Weerkamp, and Maarten de Rijke.
I studied computer science at the University of Athens. I then obtained my MSc in artificial intelligence from the University of Amsterdam. I did my master thesis on explaining entity relationships in collaboration with Yahoo Labs. The thesis won two national thesis awards (STIL & KION AI). After that I worked at Signal Media as a data scientist before joining UvA again to start my PhD in July 2015.
In 2017, I interned at Bloomberg where I worked on knowledge graph contextualization.
In 2018, I interned at Amazon where I worked on product search and matching.