DSL for SPARQL in R. :sparkles:
glitter
produces ~~sparkle~~ SPARQL! :sparkles:
knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
This package aims at writing and sending SPARQL queries without advanced knowledge of the SPARQL language syntax. It makes the exploration and use of Linked Open Data (Wikidata in particular) easier for those who do not know SPARQL well.
With glitter, compared to writing SPARQL queries by hand, your code should be easier to write, and easier to read by your peers who do not know SPARQL. The glitter package supports a "domain-specific language" (DSL) with function names (and syntax) closer to the tidyverse and base R than to SPARQL.
For instance, to find a corpus of 5 articles with a title in English and "wikidata" in that title, instead of writing SPARQL by hand you can run:
library("glitter") query <- spq_init() %>% spq_add("?item wdt:P31 wd:Q13442814") %>% spq_label(item) %>% spq_filter(str_detect(str_to_lower(item_label), 'wikidata')) %>% spq_head(n = 5) query
Note how we were able to use str_detect()
and str_to_lower()
(as in the stringr package) instead of SPARQL's functions REGEX
and LCASE
.
To perform the query,
spq_perform(query)
To get a random subset of movies with the date they were released, you could use
spq_init() %>% spq_add("?film wdt:P31 wd:Q11424") %>% spq_label(film) %>% spq_add("?film wdt:P577 ?date") %>% spq_mutate(date = year(date)) %>% spq_head(10) %>% spq_perform()
Note that we were able to "overwrite" the date variable, which is straightforward in dplyr, but not so much in SPARQL.
Install this packages through R-universe:
install.packages("glitter", repos = "https://lvaudor.r-universe.dev")
Or through GitHub:
install.packages("remotes") #if remotes is not already installed remotes::install_github("lvaudor/glitter")
You can access the documentation regarding package glitter
on its pkgdown website.
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