1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180
|
## ----include=FALSE------------------------------------------------------------
options(rdf_print_format = "nquads")
## ----message = FALSE, warning=FALSE-------------------------------------------
library(rdflib)
library(dplyr)
library(tidyr)
library(tibble)
library(jsonld)
## -----------------------------------------------------------------------------
car_triples <-
mtcars %>%
rownames_to_column("Model") %>%
gather(attribute,measurement, -Model)
## ----echo=FALSE---------------------------------------------------------------
DT::datatable(car_triples)
## -----------------------------------------------------------------------------
car_triples <-
mtcars %>%
rownames_to_column("Model") %>%
rowid_to_column("subject") %>%
gather(predicate, object, -subject)
## ----echo=FALSE---------------------------------------------------------------
DT::datatable(car_triples)
## -----------------------------------------------------------------------------
iris_triples <- iris %>%
rowid_to_column("subject") %>%
gather(key = predicate, value = object, -subject)
## ----echo=FALSE---------------------------------------------------------------
DT::datatable(iris_triples)
## -----------------------------------------------------------------------------
iris_triples <- iris %>%
rowid_to_column("subject") %>%
mutate(subject = paste0("http://example.com/iris#", subject)) %>%
gather(key = predicate, value = object, -subject)
## ----echo=FALSE---------------------------------------------------------------
DT::datatable(iris_triples)
## ----mesage = FALSE-----------------------------------------------------------
iris_triples <- iris %>%
rowid_to_column("subject") %>%
mutate(subject = paste0("http://example.com/iris#", subject)) %>%
gather(key = predicate, value = object, -subject) %>%
mutate(predicate = paste0("http://example.com/iris#", predicate))
## ----echo=FALSE---------------------------------------------------------------
DT::datatable(iris_triples)
## -----------------------------------------------------------------------------
rdf <- rdf()
## -----------------------------------------------------------------------------
base <- "http://example.com/iris#"
rdf %>%
rdf_add(subject = paste0(base, "obs1"),
predicate = paste0(base, "Sepal.Length"),
object = 5.1)
rdf
## -----------------------------------------------------------------------------
rdf <- rdf()
rdf %>% rdf_add("",
"iris:Sepal.Length",
object = 5.1)
rdf
## -----------------------------------------------------------------------------
rdf_serialize(rdf, "rdf.nq", format = "nquads")
## -----------------------------------------------------------------------------
doc <- system.file("extdata/example.rdf", package="redland")
rdf <- rdf_parse(doc, format = "rdfxml")
rdf
## -----------------------------------------------------------------------------
options(rdf_print_format = "rdfxml")
rdf
## -----------------------------------------------------------------------------
options(rdf_print_format = "turtle")
rdf
## -----------------------------------------------------------------------------
options(rdf_print_format = "jsonld")
rdf
## -----------------------------------------------------------------------------
rdf_serialize(rdf, "example.json", "jsonld") %>%
jsonld_compact(context = '{"@vocab": "http://purl.org/dc/elements/1.1/"}')
## -----------------------------------------------------------------------------
ex <- system.file("extdata/person.json", package="rdflib")
cat(readLines(ex), sep = "\n")
#jsonld_compact(ex, "{}")
## -----------------------------------------------------------------------------
options(rdf_print_format = "nquads")
rdf <- rdf_parse(ex, "jsonld")
rdf
## -----------------------------------------------------------------------------
jsonld_flatten(ex, context = "http://schema.org")
## -----------------------------------------------------------------------------
jsonld_flatten(ex) %>%
jsonld_frame('{"@type": "http://schema.org/Person"}') %>%
jsonld_compact(context = "http://schema.org")
## -----------------------------------------------------------------------------
as_rdf.list <- function(x, context = "http://schema.org"){
if(length(x) == 1) x <- x[[1]]
x[["@context"]] <- context
json <- jsonlite::toJSON(x, pretty = TRUE, auto_unbox = TRUE, force = TRUE)
rdflib::rdf_parse(json, "jsonld")
}
## -----------------------------------------------------------------------------
context <- list("http://schema.org",
list(schema = "http://schema.org/",
given = "givenName",
family = "familyName",
title = "name",
year = "datePublished",
note = "softwareVersion",
comment = "identifier",
role = "http://www.loc.gov/marc/relators/relaterm.html"))
## -----------------------------------------------------------------------------
options(rdf_print_format = "nquads") # go back to the default
R <- citation("rdflib")
rdf <- as_rdf.list(R, context)
rdf
## -----------------------------------------------------------------------------
#source(system.file("examples/as_rdf.R", package="rdflib"))
source(system.file("examples/tidy_schema.R", package="rdflib"))
## Testing: Digest some data.frames into RDF and extract back
cars <- mtcars %>% rownames_to_column("Model")
x1 <- as_rdf(iris, NULL, "iris:")
x2 <- as_rdf(cars, NULL, "mtcars:")
rdf <- c(x1,x2)
## -----------------------------------------------------------------------------
sparql <-
'SELECT ?Species ?Sepal_Length ?Sepal_Width ?Petal_Length ?Petal_Width
WHERE {
?s <iris:Species> ?Species .
?s <iris:Sepal.Width> ?Sepal_Width .
?s <iris:Sepal.Length> ?Sepal_Length .
?s <iris:Petal.Length> ?Petal_Length .
?s <iris:Petal.Width> ?Petal_Width
}'
iris2 <- rdf_query(rdf, sparql)
## ----echo=FALSE---------------------------------------------------------------
DT::datatable(iris2)
## -----------------------------------------------------------------------------
sparql <- tidy_schema("Species", "Sepal.Length", "Sepal.Width", prefix = "iris")
rdf_query(rdf, sparql)
|