Informatics and Applications
2018, Volume 12, Issue 1, pp 89-94
EXPLORATORY PATENT SEARCH
- I. Sochenkov
- D. Zubarev
- I. Tikhomirov
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.
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[+] About this article
Title
EXPLORATORY PATENT SEARCH
Journal
Informatics and Applications
2018, Volume 12, Issue 1, pp 89-94
Cover Date
2018-03-30
DOI
10.14357/19922264180111
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
exploratory search; patent search; topic modeling; topically similar document retrieval; search and analytical engines
Authors
I. Sochenkov  ,  ,
D. Zubarev ,  , and I. Tikhomirov
Author Affiliations
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
Skolkovo Institute of Science and Technology, 3 Nobelya Str., Moscow 121205, Russian Federation
Peoples' Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Str., Moscow 117198, Russian Federation
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