Table of Contents
- Before we start the tutorial
- Example
- What rules are needed
- How to start a document with RML rules
- What data to use
- How to generate subjects
- How to generate predicates and objects
- Complete Turtle document with RML rules
- Wrapping up
- More information
1 Before we start the tutorial
1.1 What you learn
At the end of the tutorial you will be able to generate RDF from a TSV file using RML rules.
What you need
We assume that you understand
How you use the tutorial
There are two ways to complete this tutorial: you read the explanations and either
- Read the examples.
- Try out the examples yourself by writing and executing RML rules on your computer.
For the second option you need a tool that executes RML rules.
Suggestions are the RMLMapper and the RMLStreamer.
2 Example
Consider the following TSV file called "characters.tsv":
id firstname lastname hair
0 Ash Ketchum black
1 Misty orange
It contains the information about two different characters. The id, first name, last name, and hair color are included. The latter two are optional. We want to annotate every character and generate the corresponding RDF triples.
For example, consider the character described by the first row:
0 Ash Ketchum black
We want to generate the corresponding RDF triples for this row:
@prefix schema: <http://schema.org/> .
@prefix dbo: <http://dbpedia.org/ontology/> .
@prefix character: <http://example.org/character/> .
character:0 a schema:Person;
schema:givenName "Ash";
schema:lastName "Ketchum";
dbo:hairColor "black".
In the following sections we explain
- what rules you need to generate these triples, and
- how you write them using RML.
3 What rules are needed
Two sets of rules are needed:
- rules that describe the TSV file
- rules that define how the RDF terms are generated from the TSV file, and how these terms are used to generate triples.
In our example we need rules that define that:
- The IRI representing a character is generated by concatenating
http://example.org/character/
with the character's id. - This IRI is used as subject of the triples.
- A character is annotated with the class
schema:Person
. - The first name is annotated with the property
schema:givenName
. - The last name is annotated with the property
schema:lastName
. - The hair color is annotated with the property
dbo:hairColor
.
4 How to start a document with RML rules
We write the RML rules in a Turtle document. RML rules are RDF themselves.
We add the following prefixes:
Prefix | Description |
---|---|
rml |
RML ontology |
rr |
The R2RML ontology, which is extended by RML |
ql |
The Query Language vocabulary, which is used together with RML |
csvw |
The CSVW Vocabulary, which is used to describe the TSV file |
rdf |
The RDF Concepts Vocabulary |
empty | The prefix used for our RML rules |
schema |
The schema.org vocabulary |
dbo |
The DBpedia ontology |
{.table .table-responsive}
The last two are added because they are used for the classes and properties.
The prefixes are added in Turtle like this:
@prefix rml: <http://semweb.mmlab.be/ns/rml#> .
@prefix rr: <http://www.w3.org/ns/r2rml#> .
@prefix ql: <http://semweb.mmlab.be/ns/ql#> .
@prefix csvw: <http://www.w3.org/ns/csvw#> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix : <http://example.org/rules/> .
@prefix schema: <http://schema.org/> .
@prefix dbo: <http://dbpedia.org/ontology/> .
5 What data to use
In our example the data of the characters is stored in a TSV file. We add the following RML rules that define what TSV file is used:
:TriplesMap a rr:TriplesMap;
rml:logicalSource [
rml:source [
a csvw:Table;
csvw:url "characters.tsv";
csvw:dialect [
a csvw:Dialect;
csvw:delimiter "\t"
]
];
rml:referenceFormulation ql:CSV
].
The different rules work as follows:
-
:TriplesMap a rr:TriplesMap;
defines the Triples Map that groups all rules for the characters. - The blank node of
:TriplesMap rml:logicalSource [ ... ]
contains all rules about the TSV file and how to access the data in the file. The class of the blank node is implicitly of the classrml:LogicalSource
. - The blank node in
[rml:source [ ... ]
contains all rules about the TSV file. -
[csvw:url "characters.tsv"]
says that we access the TSV filecharacters.tsv
. -
[csvw:dialect [csvw:delimiter "\t"]]
says that the delimiter used in this file is a tab (\t
). -
[rml:referenceFormulation ql:CSV]
says that we use the column names to access the data in the TSV file.
Note that we access a TSV file as if it is a CSV file because we consider it a CSV file with a different delimiter.
6 How to generate subjects
We add the following rules that define how the subject IRI of a character is generated:
:TriplesMap rr:subjectMap [
rr:template "http://example.org/character/{id}"
].
The different rules work as follows:
-
:TriplesMap rr:subjectMap [ ... ]
contains all the rules about the subject of a triple. The class of the blank node is implicitly of the classrr:SubjectMap
. -
[rr:template "http://example.org/character/{id}"]
says that the IRI of the subject is generated by concatenatinghttp://example.org/character/
with the value in the columnid
.
7 How to generate predicates and objects
7.1 How to annotate with a class
In our example we need to annotate every character with the class schema:Person
. We add the following RML rules:
:TriplesMap rr:predicateObjectMap [
rr:predicate rdf:type;
rr:constant schema:Person
].
The different rules work as follows:
-
:TriplesMap rr:predicateObjectMap [ ... ]
contains all the rules about a specific predicate of a triple. The class of the blank node is implicitly of the classrr:PredicateObjectMap
. -
[rr:predicate rdf:type]
says that we use the predicaterdf:type
. -
[rr:objectMap [ ... ]]
contains all the rules about the object of a triple. The class of the blank node is implicitly of the classrr:ObjectMap
. -
[rr:constant schema:Person]
says that the object of the triple isschema:Person
for every character.
Putting all rules we have so far together results in
@prefix rml: <http://semweb.mmlab.be/ns/rml#> .
@prefix rr: <http://www.w3.org/ns/r2rml#> .
@prefix ql: <http://semweb.mmlab.be/ns/ql#> .
@prefix csvw: <http://www.w3.org/ns/csvw#> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix : <http://example.org/rules/> .
@prefix schema: <http://schema.org/> .
@prefix dbo: <http://dbpedia.org/ontology/> .
:TriplesMap a rr:TriplesMap;
rml:logicalSource [
rml:source [
a csvw:Table;
csvw:url "characters.tsv";
csvw:dialect [
a csvw:Dialect;
csvw:delimiter "\t"
]
];
rml:referenceFormulation ql:CSV
].
:TriplesMap rr:subjectMap [
rr:template "http://example.org/character/{id}"
].
:TriplesMap rr:predicateObjectMap [
rr:predicate rdf:type;
rr:objectMap [
rr:constant schema:Person
]
].
You can download the Turtle file here. If we execute these rules, the following triples are generated:
@prefix schema: <http://schema.org/> .
<http://example.org/character/0> a schema:Person .
<http://example.org/character/1> a schema:Person .
Two triples are generated: one for each character. There is a unique subject IRI for each character and each character is annotated with the class schema:Person
.
7.2 How to annotate with a property
In our example we need to annotate the values in the column firstname
with the property schema:givenName
. We add the following rules:
:TriplesMap rr:predicateObjectMap [
rr:predicate schema:givenName;
rr:objectMap [
rml:reference "firstname"
]
].
The rules are different from when annotating with a class: rml:reference
is used instead of rr:constant
because the object is not the same for every character. More specific, [rml:reference "firstname"]
says that the data in the column firstname
is used for the object.
Putting all rules we have so far together results in
@prefix rml: <http://semweb.mmlab.be/ns/rml#> .
@prefix rr: <http://www.w3.org/ns/r2rml#> .
@prefix ql: <http://semweb.mmlab.be/ns/ql#> .
@prefix csvw: <http://www.w3.org/ns/csvw#> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix : <http://example.org/rules/> .
@prefix schema: <http://schema.org/> .
@prefix dbo: <http://dbpedia.org/ontology/> .
:TriplesMap a rr:TriplesMap;
rml:logicalSource [
rml:source [
a csvw:Table;
csvw:url "characters.tsv";
csvw:dialect [
a csvw:Dialect;
csvw:delimiter "\t"
]
];
rml:referenceFormulation ql:CSV
].
:TriplesMap rr:subjectMap [
rr:template "http://example.org/character/{id}"
].
:TriplesMap rr:predicateObjectMap [
rr:predicate rdf:type;
rr:objectMap [
rr:constant schema:Person
]
].
:TriplesMap rr:predicateObjectMap [
rr:predicate schema:givenName;
rr:objectMap [
rml:reference "firstname"
]
].
You can download the Turtle file here. If we execute these rules, the following triples are generated:
@prefix schema: <http://schema.org/> .
<http://example.org/character/0> a schema:Person;
schema:givenName "Ash" .
<http://example.org/character/1> a schema:Person;
schema:givenName "Misty" .
Two triples are added: one for the first name of each character.
We add the following rules to annotate the last name and the hair color in the same way as the first name:
:TriplesMap rr:predicateObjectMap [
rr:predicate schema:lastName;
rr:objectMap [
rml:reference "lastname"
]
].
:TriplesMap rr:predicateObjectMap [
rr:predicate dbo:hairColor;
rr:objectMap [
rml:reference "hair"
]
].
8 Complete Turtle document with RML rules
The complete Turtle document with RML rules is
@prefix rml: <http://semweb.mmlab.be/ns/rml#> .
@prefix rr: <http://www.w3.org/ns/r2rml#> .
@prefix ql: <http://semweb.mmlab.be/ns/ql#> .
@prefix csvw: <http://www.w3.org/ns/csvw#> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix : <http://example.org/rules/> .
@prefix schema: <http://schema.org/> .
@prefix dbo: <http://dbpedia.org/ontology/> .
:TriplesMap a rr:TriplesMap;
rml:logicalSource [
rml:source [
a csvw:Table;
csvw:url "characters.tsv";
csvw:dialect [
a csvw:Dialect;
csvw:delimiter "\t"
]
];
rml:referenceFormulation ql:CSV
].
:TriplesMap rr:subjectMap [
rr:template "http://example.org/character/{id}"
].
:TriplesMap rr:predicateObjectMap [
rr:predicate rdf:type;
rr:objectMap [
rr:constant schema:Person
]
].
:TriplesMap rr:predicateObjectMap [
rr:predicate schema:givenName;
rr:objectMap [
rml:reference "firstname"
]
].
:TriplesMap rr:predicateObjectMap [
rr:predicate schema:lastName;
rr:objectMap [
rml:reference "lastname"
]
].
:TriplesMap rr:predicateObjectMap [
rr:predicate dbo:hairColor;
rr:objectMap [
rml:reference "hair"
]
].
You can download the Turtle file here. If we execute these rules, the final triples are generated:
@prefix dbo: <http://dbpedia.org/ontology/> .
@prefix schema: <http://schema.org/> .
<http://example.org/character/0> a schema:Person;
dbo:hairColor "black";
schema:givenName "Ash";
schema:lastName "Ketchum" .
<http://example.org/character/1> a schema:Person;
dbo:hairColor "orange";
schema:givenName "Misty";
schema:lastName "" .
9 Wrapping up
Congratulations! You have created your own RML rules that generate RDF from data in a TSV file. Nice work! We hope you now feel like you have a decent grasp on how RML rules work.
10 More information
You can find more information about RML in its specification. There is also a human readable text-based representation available for RML rules called YARRRML. It is a subset of YAML, a widely used data serialization language designed to be human-friendly.
If you have any questions or remarks, don't hesitate to contact me via email or via Twitter.
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