Modeling of Lexical Relations Between Topics Retrieved from DBLP Journals.
Lukas Hlavacek, Michal Vymola · 2011
In this paper we present a method for getting topics from aims and scopes in DBLP journals and following construction of their hierarchical order. We focused on semantic relations between topics. Our method is fully automatic but manual cleaning of topic database would lead to much better accuracy. Another purpose of our work is to provide similar system to ACM classification system. We want to provide better, newer and fully automatic system contrary to ACM.