# Examples
This document provides practical examples of SPARQL queries in SPARQLWorksβ’, demonstrating different patterns and visualization techniques.
## π¬ Movie Database Examples
### Basic Movie-Creator Relationships
**Endpoint**: `https://dbpedia.org/sparql`
**Basic Mode:**
```
?movie dbo:creator ?creator;
rdfs:label ?movieName.
FILTER(?creator = dbr:Spike_Lee)
```
**Advanced Mode:**
```sparql
CONSTRUCT {
?movie dbo:creator ?creator;
rdfs:label ?movieName.
}
WHERE {
?movie dbo:creator ?creator;
rdfs:label ?movieName.
FILTER(?creator = dbr:Spike_Lee)
}
LIMIT 50
```
**Visualization**: Shows Spike Lee's movies connected to their creators with title labels.
### Movie Genres and Directors
**Basic Mode:**
```
?movie dbo:director ?director;
dbo:genre ?genre;
rdfs:label ?title.
FILTER(?genre = dbr:Drama_film)
```
**Advanced Mode:**
```sparql
CONSTRUCT {
?movie dbo:director ?director;
dbo:genre ?genre;
rdfs:label ?title.
}
WHERE {
?movie a dbo:Film;
dbo:director ?director;
dbo:genre ?genre;
rdfs:label ?title.
FILTER(?genre = dbr:Drama_film)
}
LIMIT 100
```
**Visualization**: Drama films connected to directors and genre classifications.
## π₯ Social Network Examples
### FOAF Friend Relationships
**Endpoint**: `https://dbpedia.org/sparql`
**Basic Mode:**
```
?person foaf:name ?name;
foaf:knows ?friend.
?friend foaf:name ?friendName.
```
**Advanced Mode:**
```sparql
PREFIX foaf:
CONSTRUCT {
?person foaf:name ?name;
foaf:knows ?friend.
?friend foaf:name ?friendName.
}
WHERE {
?person foaf:name ?name;
foaf:knows ?friend.
?friend foaf:name ?friendName.
}
LIMIT 200
```
**Visualization**: Social network graph showing people and their friendships.
### Organization Hierarchies
**Basic Mode:**
```
?person foaf:name ?name;
org:memberOf ?org.
?org rdfs:label ?orgName.
```
**Advanced Mode:**
```sparql
PREFIX foaf:
PREFIX org:
CONSTRUCT {
?person foaf:name ?name;
org:memberOf ?org.
?org rdfs:label ?orgName.
}
WHERE {
?person foaf:name ?name;
org:memberOf ?org.
?org rdfs:label ?orgName.
}
LIMIT 150
```
**Visualization**: Organizational structure with members connected to organizations.
## πΊοΈ Geographic Examples
### Cities and Countries
**Endpoint**: `https://query.wikidata.org/sparql`
**Basic Mode:**
```
?city wdt:P31 wd:Q515;
wdt:P17 ?country;
rdfs:label ?cityName.
?country rdfs:label ?countryName.
FILTER(LANG(?cityName) = "en")
FILTER(LANG(?countryName) = "en")
```
**Advanced Mode:**
```sparql
PREFIX wd:
PREFIX wdt:
PREFIX rdfs:
CONSTRUCT {
?city rdfs:label ?cityName;
wdt:P17 ?country.
?country rdfs:label ?countryName.
}
WHERE {
?city wdt:P31 wd:Q515;
wdt:P17 ?country;
rdfs:label ?cityName.
?country rdfs:label ?countryName.
FILTER(LANG(?cityName) = "en")
FILTER(LANG(?countryName) = "en")
}
LIMIT 100
```
**Visualization**: Cities connected to their countries with English labels.
### Location Hierarchies
**Basic Mode:**
```
?location wdt:P131 ?parent;
rdfs:label ?name.
?parent rdfs:label ?parentName.
FILTER(?location = wd:Q84)
```
**Advanced Mode:**
```sparql
PREFIX wd:
PREFIX wdt:
CONSTRUCT {
?location wdt:P131 ?parent;
rdfs:label ?name.
?parent rdfs:label ?parentName.
}
WHERE {
?location wdt:P131* ?parent;
rdfs:label ?name.
?parent rdfs:label ?parentName.
FILTER(?location = wd:Q84)
}
LIMIT 50
```
**Visualization**: Hierarchical location relationships using property paths.
## π Academic Examples
### Research Publications
**Endpoint**: `https://dbpedia.org/sparql`
**Basic Mode:**
```
?paper dct:creator ?author;
dct:title ?title;
dct:subject ?subject.
?author foaf:name ?authorName.
```
**Advanced Mode:**
```sparql
PREFIX dct:
PREFIX foaf:
CONSTRUCT {
?paper dct:creator ?author;
dct:title ?title;
dct:subject ?subject.
?author foaf:name ?authorName.
}
WHERE {
?paper dct:creator ?author;
dct:title ?title;
dct:subject ?subject.
?author foaf:name ?authorName.
}
LIMIT 75
```
**Visualization**: Academic papers connected to authors and research subjects.
### University Departments
**Basic Mode:**
```
?dept a dbo:University;
dbo:city ?city;
rdfs:label ?deptName.
?city rdfs:label ?cityName.
```
**Advanced Mode:**
```sparql
PREFIX dbo:
PREFIX rdfs:
CONSTRUCT {
?dept a dbo:University;
dbo:city ?city;
rdfs:label ?deptName.
?city rdfs:label ?cityName.
}
WHERE {
?dept a dbo:University;
dbo:city ?city;
rdfs:label ?deptName.
?city rdfs:label ?cityName.
}
LIMIT 60
```
**Visualization**: Universities connected to their cities.
## π΅ Music Examples
### Artists and Albums
**Endpoint**: `https://dbpedia.org/sparql`
**Basic Mode:**
```
?artist a dbo:MusicalArtist;
dbo:genre ?genre;
rdfs:label ?artistName.
?album dbo:artist ?artist;
rdfs:label ?albumName.
```
**Advanced Mode:**
```sparql
PREFIX dbo:
CONSTRUCT {
?artist a dbo:MusicalArtist;
dbo:genre ?genre;
rdfs:label ?artistName.
?album dbo:artist ?artist;
rdfs:label ?albumName.
}
WHERE {
?artist a dbo:MusicalArtist;
dbo:genre ?genre;
rdfs:label ?artistName.
?album dbo:artist ?artist;
rdfs:label ?albumName.
}
LIMIT 80
```
**Visualization**: Music artists connected to their albums and genres.
### Music Venues
**Basic Mode:**
```
?venue a dbo:Venue;
dbo:location ?city;
rdfs:label ?venueName.
?city rdfs:label ?cityName.
```
**Advanced Mode:**
```sparql
PREFIX dbo:
CONSTRUCT {
?venue a dbo:Venue;
dbo:location ?city;
rdfs:label ?venueName.
?city rdfs:label ?cityName.
}
WHERE {
?venue a dbo:Venue;
dbo:location ?city;
rdfs:label ?venueName.
?city rdfs:label ?cityName.
}
LIMIT 40
```
**Visualization**: Music venues connected to their locations.
## ποΈ Government Examples
### Politicians and Parties
**Endpoint**: `https://query.wikidata.org/sparql`
**Basic Mode:**
```
?politician wdt:P102 ?party;
rdfs:label ?name.
?party rdfs:label ?partyName.
FILTER(LANG(?name) = "en")
FILTER(LANG(?partyName) = "en")
```
**Advanced Mode:**
```sparql
PREFIX wdt:
CONSTRUCT {
?politician wdt:P102 ?party;
rdfs:label ?name.
?party rdfs:label ?partyName.
}
WHERE {
?politician wdt:P102 ?party;
rdfs:label ?name.
?party rdfs:label ?partyName.
FILTER(LANG(?name) = "en")
FILTER(LANG(?partyName) = "en")
}
LIMIT 120
```
**Visualization**: Politicians connected to their political parties.
### Government Organizations
**Basic Mode:**
```
?org wdt:P31 wd:Q327333;
wdt:P17 ?country;
rdfs:label ?orgName.
?country rdfs:label ?countryName.
FILTER(LANG(?orgName) = "en")
```
**Advanced Mode:**
```sparql
PREFIX wd:
PREFIX wdt:
CONSTRUCT {
?org wdt:P31 wd:Q327333;
wdt:P17 ?country;
rdfs:label ?orgName.
?country rdfs:label ?countryName.
}
WHERE {
?org wdt:P31 wd:Q327333;
wdt:P17 ?country;
rdfs:label ?orgName.
?country rdfs:label ?countryName.
FILTER(LANG(?orgName) = "en")
}
LIMIT 90
```
**Visualization**: Government organizations connected to countries.
## π¬ Scientific Examples
### Chemical Compounds
**Endpoint**: `https://dbpedia.org/sparql`
**Basic Mode:**
```
?compound a dbo:ChemicalCompound;
dbo:molecularWeight ?weight;
rdfs:label ?name.
FILTER(?weight > 100)
```
**Advanced Mode:**
```sparql
PREFIX dbo:
CONSTRUCT {
?compound a dbo:ChemicalCompound;
dbo:molecularWeight ?weight;
rdfs:label ?name.
}
WHERE {
?compound a dbo:ChemicalCompound;
dbo:molecularWeight ?weight;
rdfs:label ?name.
FILTER(?weight > 100)
}
LIMIT 70
```
**Visualization**: Chemical compounds with molecular weights.
### Research Datasets
**Basic Mode:**
```
?dataset dct:creator ?researcher;
dct:subject ?topic;
rdfs:label ?title.
?researcher foaf:name ?researcherName.
```
**Advanced Mode:**
```sparql
PREFIX dct:
PREFIX foaf:
CONSTRUCT {
?dataset dct:creator ?researcher;
dct:subject ?topic;
rdfs:label ?title.
?researcher foaf:name ?researcherName.
}
WHERE {
?dataset dct:creator ?researcher;
dct:subject ?topic;
rdfs:label ?title.
?researcher foaf:name ?researcherName.
}
LIMIT 55
```
**Visualization**: Research datasets connected to creators and topics.
## π Cultural Examples
### Museum Collections
**Endpoint**: `https://dbpedia.org/sparql`
**Basic Mode:**
```
?artwork dbo:museum ?museum;
dbo:artist ?artist;
rdfs:label ?title.
?museum rdfs:label ?museumName.
```
**Advanced Mode:**
```sparql
PREFIX dbo:
CONSTRUCT {
?artwork dbo:museum ?museum;
dbo:artist ?artist;
rdfs:label ?title.
?museum rdfs:label ?museumName.
}
WHERE {
?artwork dbo:museum ?museum;
dbo:artist ?artist;
rdfs:label ?title.
?museum rdfs:label ?museumName.
}
LIMIT 65
```
**Visualization**: Artworks connected to museums and artists.
### Literary Works
**Basic Mode:**
```
?book dbo:author ?author;
dbo:genre ?genre;
rdfs:label ?title.
?author rdfs:label ?authorName.
```
**Advanced Mode:**
```sparql
PREFIX dbo:
CONSTRUCT {
?book dbo:author ?author;
dbo:genre ?genre;
rdfs:label ?title.
?author rdfs:label ?authorName.
}
WHERE {
?book dbo:author ?author;
dbo:genre ?genre;
rdfs:label ?title.
?author rdfs:label ?authorName.
}
LIMIT 85
```
**Visualization**: Books connected to authors and literary genres.
## π₯ Healthcare Examples
### Medical Conditions
**Endpoint**: `https://query.wikidata.org/sparql`
**Basic Mode:**
```
?condition wdt:P31 wd:Q12136;
wdt:P1995 ?specialty;
rdfs:label ?name.
?specialty rdfs:label ?specialtyName.
FILTER(LANG(?name) = "en")
```
**Advanced Mode:**
```sparql
PREFIX wd:
PREFIX wdt:
CONSTRUCT {
?condition wdt:P31 wd:Q12136;
wdt:P1995 ?specialty;
rdfs:label ?name.
?specialty rdfs:label ?specialtyName.
}
WHERE {
?condition wdt:P31 wd:Q12136;
wdt:P1995 ?specialty;
rdfs:label ?name.
?specialty rdfs:label ?specialtyName.
FILTER(LANG(?name) = "en")
}
LIMIT 95
```
**Visualization**: Medical conditions connected to medical specialties.
### Healthcare Organizations
**Basic Mode:**
```
?hospital wdt:P31 wd:Q16917;
wdt:P131 ?city;
rdfs:label ?name.
?city rdfs:label ?cityName.
FILTER(LANG(?name) = "en")
```
**Advanced Mode:**
```sparql
PREFIX wd:
PREFIX wdt:
CONSTRUCT {
?hospital wdt:P31 wd:Q16917;
wdt:P131 ?city;
rdfs:label ?name.
?city rdfs:label ?cityName.
}
WHERE {
?hospital wdt:P31 wd:Q16917;
wdt:P131 ?city;
rdfs:label ?name.
?city rdfs:label ?cityName.
FILTER(LANG(?name) = "en")
}
LIMIT 110
```
**Visualization**: Hospitals connected to their cities.
## π Tips for Creating Examples
### Query Design Principles
1. **Start Simple**: Begin with basic patterns and add complexity
2. **Use LIMIT**: Always include reasonable limits for performance
3. **Add Filters**: Use FILTER clauses to focus results
4. **Include Labels**: Ensure entities have readable labels
5. **Test Endpoints**: Verify queries work on target endpoints
### Visualization Optimization
1. **Node Types**: Mix IRI and literal nodes for rich graphs
2. **Relationship Depth**: Balance breadth and depth
3. **Label Quality**: Prefer datasets with good multilingual labels
4. **Performance**: Consider graph size and rendering complexity
### Common Patterns
- **Entity-Attribute**: Basic subject-predicate-object triples
- **Entity-Relationship**: Connections between entities
- **Hierarchies**: Parent-child or type-subtype relationships
- **Networks**: Complex interconnected structures
---
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