Description Usage Format Details See Also
An example data set of autonomous vehicle IP from major assignees.
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A data frame with 316 observations on 9 variables.
docNum
A published document number including the kind code, publication number, and kind code for the patent document.
title
The title of the invention.
assignee
The owner of the document.
inventors
The name(s) of the inventor(s), separated by commas.
priorityDate
The earliest priority date on the application.
dateFiled
Date the document was filed. They calll it filing/creation date.
pubDate
Date document became publicly available.
grantDate
Date the application became a grant. NA if there is no associated grant.
googleURL
The link to the Google Patents page for the document.
The first row in the raw CSV export contains the search URL and is skipped.
The data search was performd on Saturday, March 18, 2017 from patents.google.com, and the exact search: Google Patents Search For all countries available on Google.
You process the raw data with the following commands:
temp <- system.file("extdata", "google_autonomous_search.csv", package = "patentr")
# from the source package you can navigate to
temp <- read.csv("inst/extdata/google_autonomous_search.csv", skip = 1, stringsAsFactors = FALSE)
names(temp) <- googleNames
temp <- data.frame(lapply(temp, function(x){iconv(x,to="ASCII")}),stringsAsFactors = FALSE)
dateFields <- c("priorityDate","dateFiled","pubDate","grantDate")
temp[dateFields] <- as.data.frame(lapply(temp[dateFields], as.Date, format="%m/%d/%y"))
acars
provides a similar search from Sumobrain.
acarsLens
provides a simialr search from Lens.org.
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