#HtW: How it was done #OeW: Top EPO Software Patent Applicants 1978-2003 #btY: Publication Years #ptt: Applicant Countries #invland: Inventor Countries #Stt: Old Statistics #Tke: The difficulty is that there is no explicit identification for software related patents. Therefore we had to download and scan all patents, so as to assign each patent a probability of being a software patent. Expressions related to algorithms and programming raised the probability, those related to forces of nature lowered it. This has led to a fairly high score rate, but still you will occasionally encounter a true hardware patent. #aso: ../txt/ep/1276/061 #Cyi: Country Statistics #Cyi2: Company Statistics #tiW: a database of patent statistics (based on a bibliometric search profile) concerning computer software based patent application in European countries, Japan and USA (22 countries in all). This can be used to trace the development of embedded software in different countries, various patent classes and groups, etc, as a function of time for the past fourteen years. ... # Local Variables: ; # coding: utf-8 ; # srcfile: /usr/share/emacs/site-lisp/phm/app/swpat/swpatpikta.el ; # mailto: mlhtimport@ffii.org ; # login: phm ; # passwd: YYYYY ; # feature: swpatdir ; # dok: swpiknamcu ; # txtlang: en ; # multlin: t ; # End: ;