Journal Title
Title of Journal: Inf Retrieval J
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Abbravation: Information Retrieval Journal
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Publisher
Springer Netherlands
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Authors: Anastasia Giachanou Michail Salampasis Georgios Paltoglou
Publish Date: 2015/10/27
Volume: 18, Issue: 6, Pages: 559-585
Abstract
In this paper we present a method that can be used to attain specific objectives in a typical prior art search process The objectives are first to assist patent searchers in understanding the underlying technical concepts of a patent by identifying relevant international patent classification IPC codes and second to help them conduct a filtered search based on automatically selected IPCs We view the automated selection of IPCs as a collection selection problem from the domain of distributed information retrieval DIR that can be addressed using existing DIR methods which we extend and adapt for the patent domain Our work exploits the intellectually assigned classifications codes that are used to categorize patents and to facilitate patent searches In our method manually assigned IPC codes of patent documents are used to cluster distribute and index patents through hundreds or thousands of subcollections We propose a new multilayer collection selection method that effectively suggests classification codes exploiting the hierarchical classification schemes such as IPC/CPC The new method in addition to utilizing the topical relevance of IPCs at a particular level of interest exploits the topical relevance of their ancestors in the IPC hierarchy and aggregates those multiple estimations of relevance to a single estimation Experimental results on the CLEFIP 2011 dataset show that the proposed approach outperforms stateofart methods from the DIR domain not only in identifying relevant IPC codes but also in retrieving relevant patent documents given a patent queryThe second author is supported by a Marie Curie fellowship and the research leading to some of the results presented in this paper has received funding from the European Union Seventh Framework Programme FP7/20072013 under Grant agreement No 275522 PerFedPat
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