Paper Info
Title
Query Generation Techniques for Patent Prior-Art Search in Multiple Languages
Abstract
Patent prior-art search is an necessary step to ensure that no previous similar disclosures were made before granting an patent. The task is to identify all relevant information which may invalidate the originality of a claim of a patent application. Using the whole patent or extracting high indicative terms to form a query reduces the search burden on the user. To date, There are no large-scale experiments conducted specifically for evaluating query generation techniques used in patent prior-art search in multiple languages. In the following paper, we firstly introduced seven methods for generating patent queries for ranking. Then a large-scale experimental evaluation was carried out on the CLEF-IP 2009 multilingual dataset in English, French and German. A detail comparison of the different methods in terms of performance and efficiency has been performed in addition to the use of full-length documents as queries in the patent search. The results show that some methods, work well in information retrieval in general, fail to achieve the same effectiveness in the patent search. Different methods demonstrated distinct performance w.r.t query and document languages.
Year
DOI
Venue
2013
10.1007/978-3-642-41644-6_29
Communications in Computer and Information Science
Keywords
Field
DocType
Patent Prior-Art Search,Multilingual Information Access,Query Generation
Web search query,Query language,Patent search,Query expansion,Information retrieval,Ranking,Computer science,Patent application,Originality,German
Conference
Volume
ISSN
Citations 
400
1865-0929
0
PageRank 
References 
Authors
0.34
18
3
Name
Order
Citations
PageRank
Dong Zhou134225.99
Jianxun Liu264067.12
Sanrong Zhang3101.53