spotlight

R wrapper to the DBpedia Spotlight API. All official documentation is online.

It is a tool for automatically annotating mentions of DBpedia resources in text, providing a solution for linking unstructured information sources to the Linked Open Data cloud through DBpedia. - DBpedia Spotlight

Global options are set with spot_set_opts. If you want to extensively use dbpedia you are encouraged to deploy spotlight-docker on your own server then point to it with the base_url argument in spot_set_opts.

Installation

You can install spotlight from github with:

# install.packages("devtools")
devtools::install_github("news-r/spotlight")

Examples

library(spotlight)

# Data to extract entities from 
text = c(
  "Donald Trump is probably in Washington DC.",
  "szzza dasdazsd azzsd daawq", # garbage
  "" # empty document
)

# remove empty documents
text <- spot_filter(text)

# Annotate
places <- spot_annotate(text, types = "DBpedia:Place")
#> Annotating 2 documents.
#> 100% annotating document: 2 [====================================================================] eta: 0s

knitr::kable(places)

text	confidence	support	types	sparql	policy	resource_URI	resource_support	resource_types	resource_surfaceForm	resource_offset	resource_similarityScore	resource_percentageOfSecondRank
Donald Trump is probably in Washington DC.	0.5	0	DBpedia:Place		whitelist	http://dbpedia.org/resource/Washington_(state)	43066	Wikidata:Q3455524,Schema:Place,Schema:AdministrativeArea,DBpedia:Region,DBpedia:PopulatedPlace,DBpedia:Place,DBpedia:Location,DBpedia:AdministrativeRegion	Washington	28	0.5234317	0.4408709