  The vast body of scientific publications presents an increasing challenge of
finding those that are relevant to a given research question, and making
informed decisions on their basis. This becomes extremely difficult without the
use of automated tools. Here, one possible area for improvement is automatic
classification of publication abstracts according to their topic. This work
introduces a novel, knowledge base-oriented publication classifier. The
proposed method focuses on achieving scalability and easy adaptability to other
domains. Classification speed and accuracy are shown to be satisfactory, in the
very demanding field of food safety. Further development and evaluation of the
method is needed, as the proposed approach shows much potential.
