This article is cited in 4 papers

Exploratory patent search

I. Sochenkov^ab, D. Zubarev^cb, I. Tikhomirov<sup>b

a</sup> Skolkovo Institute of Science and Technology, 3 Nobelya Str., Moscow 121205, Russian Federation
^b Institute for Systems Analysis, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
^c Peoples' Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Str., Moscow 117198, Russian Federation

Abstract: 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.

Keywords: exploratory search; patent search; topic modeling; topically similar document retrieval; search and analytical engines.

Received: 04.04.2017

DOI: 10.14357/19922264180111

Bibliographic databases:

•