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Overview of prior-art cross-lingual information retrieval approaches

Paper ID Volume ID Publish Year Pages File Format Full-Text
37962 45642 2012 11 PDF Available
Title
Overview of prior-art cross-lingual information retrieval approaches
Abstract

Prior-art search in patent data has specific properties, which set it apart from other traditional information retrieval processes. One major issue is that patents are usually described in generic terms in order to avoid narrowing down the scope of the inventions. Given the growing amount of patents in different countries using different languages, prior-art search applications nowadays need to find patent claims across languages. This has prompted the current research efforts into how to tackle cross-lingual patent search issues. In this paper, we review the state-of-the art of approaches for cross-lingual prior-art search. This includes cross-lingual information retrieval approaches in general and issues that prevent them from working well for prior-art search. Furthermore, we give a brief overview of existing cross-lingual prior-art search approaches and discuss whether they are able to overcome the problems that traditional cross-lingual retrieval approaches have in this area. Finally, a critical analysis based on this overview is presented and ideas on how to tackle some open research issues in cross-lingual prior-art search are given.

► Study of cross-lingual information retrieval (CLIR). ► Specific problems of prior art patent searching in CLIR highlighted. ► Detailed review of the many approaches to CLIR. ► Future research areas suggested.

Keywords
Cross-lingual information retrieval; Patent information retrieval; Prior-art search; International patent classification system; IPC
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Publisher
Database: Elsevier - ScienceDirect
Journal: World Patent Information - Volume 34, Issue 4, December 2012, Pages 304–314
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us