His research interests and areas of competence include semantic information retrieval,
entity-centric search, and P2P semantic search. He has co-authored several
on topics related to semantic document classification, semantic search and p2p semantic
search, which were presented at internationally recognized journals, conferences and
workshops such as WWWJ, ECDL, ESWC, ICSD, SemSearch, and DESWeb.
In the CUbRIK project, he studied how
techniques can be used to collect entity-centric knowledge
and improve semantic (entity-centric) information retrieval techniques.
Most recently, also motivated by the CUbRIK project, he started developing the Entity Query Language (EQL).
EQL extends relational databases with semantic entity search. In particular, it allows to combine concept
search on free text entity attributes with spatial search on geographic locations of these entities.
OpenStreetMap is used as a source
of geographical information.
Igor Street View
360-degree panoramic video recorded from my motorbike