Abstract: An approach for forming taxonomies based on semantic analysis of text arrays is presented in this paper. The algorithm and the main stages of its work are described. The specification of input and output data is defined as lambda calculus terms without types. Auxiliary algorithms for detecting different types (in particular, geographic) information are outlined. The evaluation of the effectiveness of the proposed algorithm, obtained by computational experiments, is given.

Keywords: Taxonomy, Hyper-relation, Structuring, Knowledge Engineering

ACM Classification Keywords: I.2 ARTIFICIAL INTELLIGENCE - I.2.4 Knowledge Representation Formalisms and Methods, H. Information Systems

Link:

Taxonomyzation of Natural Language Texts

Vitaly Prihodnyuk

http://www.foibg.com/ijima//vol05/ijima05-03-p07.pdf