使用命令行为电影rdf turtle数据提供8000端口支持的sparql查询服务 编写合适的3条sparql查询语句,并利用sparqlwrapper向本地sparql服务查询 解析查询结果并以html的形式展示结果
时间: 2024-02-27 15:58:44 浏览: 20
好的,以下是3条合适的SPARQL查询语句,以及利用sparqlwrapper向本地sparql服务查询、解析结果并以html的形式展示结果的代码:
SPARQL查询语句:
1. 查询所有电影的名称和发布日期:
```
SELECT ?name ?date
WHERE {
?movie a dbo:Film ;
foaf:name ?name ;
dbo:releaseDate ?date .
}
```
2. 查询所有电影的平均评分:
```
SELECT ?name (AVG(?rating) AS ?avgRating)
WHERE {
?movie a dbo:Film ;
foaf:name ?name ;
dbo:rating ?rating .
}
GROUP BY ?name
```
3. 查询所有电影的导演和演员:
```
SELECT ?name ?director ?actor
WHERE {
?movie a dbo:Film ;
foaf:name ?name ;
dbo:director ?dir ;
dbo:starring ?actor .
?dir foaf:name ?director .
}
```
利用sparqlwrapper向本地sparql服务查询、解析结果并以html的形式展示结果的代码:
```python
from SPARQLWrapper import SPARQLWrapper, JSON
# 连接本地sparql服务
sparql = SPARQLWrapper("http://localhost:8000/sparql")
# 设置查询语句
query = """
SELECT ?name ?date
WHERE {
?movie a dbo:Film ;
foaf:name ?name ;
dbo:releaseDate ?date .
}
"""
# 发送查询请求
sparql.setQuery(query)
sparql.setReturnFormat(JSON)
results = sparql.query().convert()
# 解析查询结果
rows = []
for result in results["results"]["bindings"]:
name = result["name"]["value"]
date = result["date"]["value"]
rows.append((name, date))
# 以html的形式展示结果
html = "<table><tr><th>Name</th><th>Release Date</th></tr>"
for row in rows:
html += "<tr><td>{}</td><td>{}</td></tr>".format(row[0], row[1])
html += "</table>"
print(html)
```
```python
from SPARQLWrapper import SPARQLWrapper, JSON
# 连接本地sparql服务
sparql = SPARQLWrapper("http://localhost:8000/sparql")
# 设置查询语句
query = """
SELECT ?name (AVG(?rating) AS ?avgRating)
WHERE {
?movie a dbo:Film ;
foaf:name ?name ;
dbo:rating ?rating .
}
GROUP BY ?name
"""
# 发送查询请求
sparql.setQuery(query)
sparql.setReturnFormat(JSON)
results = sparql.query().convert()
# 解析查询结果
rows = []
for result in results["results"]["bindings"]:
name = result["name"]["value"]
avg_rating = result["avgRating"]["value"]
rows.append((name, avg_rating))
# 以html的形式展示结果
html = "<table><tr><th>Name</th><th>Average Rating</th></tr>"
for row in rows:
html += "<tr><td>{}</td><td>{}</td></tr>".format(row[0], row[1])
html += "</table>"
print(html)
```
```python
from SPARQLWrapper import SPARQLWrapper, JSON
# 连接本地sparql服务
sparql = SPARQLWrapper("http://localhost:8000/sparql")
# 设置查询语句
query = """
SELECT ?name ?director ?actor
WHERE {
?movie a dbo:Film ;
foaf:name ?name ;
dbo:director ?dir ;
dbo:starring ?actor .
?dir foaf:name ?director .
}
"""
# 发送查询请求
sparql.setQuery(query)
sparql.setReturnFormat(JSON)
results = sparql.query().convert()
# 解析查询结果
rows = []
for result in results["results"]["bindings"]:
name = result["name"]["value"]
director = result["director"]["value"]
actor = result["actor"]["value"]
rows.append((name, director, actor))
# 以html的形式展示结果
html = "<table><tr><th>Name</th><th>Director</th><th>Actor</th></tr>"
for row in rows:
html += "<tr><td>{}</td><td>{}</td><td>{}</td></tr>".format(row[0], row[1], row[2])
html += "</table>"
print(html)
```
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