EconPapers    
Economics at your fingertips  
 

Measures for textual patent similarities: a guided way to select appropriate approaches

Martin G. Moehrle ()
Additional contact information
Martin G. Moehrle: University of Bremen

Scientometrics, 2010, vol. 85, issue 1, No 8, 95-109

Abstract: Abstract The measurement of textual patent similarities is crucial for important tasks in patent management, be it prior art analysis, infringement analysis, or patent mapping. In this paper the common theory of similarity measurement is applied to the field of patents, using solitary concepts as basic textual elements of patents. After unfolding the term ‘similarity’ in a content and formal oriented level and presenting a basic model of understanding, a segmented approach to the measurement of underlying variables, similarity coefficients, and the criteria-related profiles of their combinations is lined out. This leads to a guided way to the application of textual patent similarities, interesting both for theory and practice.

Keywords: Patent; Similarity measurement; Similarity coefficients; Prior art analysis; Infringement analysis; Patent mapping; 68U15 (search for similar items in EconPapers)
JEL-codes: O32 O34 (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (23)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-010-0243-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:85:y:2010:i:1:d:10.1007_s11192-010-0243-3

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-010-0243-3

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:scient:v:85:y:2010:i:1:d:10.1007_s11192-010-0243-3