The paper presents an effective method for topically similar document retrieval. The exploratory patent search based on this method is proposed. The developed method reduces complexity and time of patent expertise providing the computer assistance of patent search and analysis. The phrases extracted by the parser as well as single lexemes are used as descriptors for a document. This approach prevents exponential growth of the feature space and provides effective indexing even for large text collections. The results of experiments show that the proposed method significantly outperforms the basic keyword-based approach. Conclusions are made about the prospects of using the method for solving other problems such as source retrieval for plagiarism detection and full-text clustering.
DOI: https://doi.org/10.14357/19922264180111
Article in the Informatics and Applications journal (PDF) at the Institute of Informatics Problems website (in Russian): http://www.ipiran.ru/journal/issues/2018_12_01/Vol12_Issue1.pdf
PDF at the All-Russian Mathematical Portal: http://mi.mathnet.ru/eng/ia520
Read at ResearchGate (in Russian): https://www.researchgate.net/publication/325379039_Exploratory_patent_search
Sochenkov I. V., Zubarev D. V., Tikhomirov I. A. Exploratory patent search. Informatics and Applications. 2018. № 1. Page 89-94.