I am a PhD student at ILPS, UvA, under the supervision of Prof. Maarten de Rijke.
My daily advisor is Edgar Meij.

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.
    SIGIR 2018.
  • Generating Descriptions of Entity Relationships [pdf|data]
    Nikos Voskarides, Edgar Meij, and Maarten de Rijke.
    ECIR 2017.
  • Learning to Explain Entity Relationships in Knowledge Graphs [pdf|data]
    Nikos Voskarides, Edgar Meij, Manos Tsagkias, Maarten de Rijke and Wouter Weerkamp.
    ACL 2015.
  • Query-dependent contextualization of streaming data [pdf|data]
    Nikos Voskarides, Daan Odijk, Manos Tsagkias, Wouter Weerkamp, and Maarten de Rijke.
    ECIR 2014.


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.