我想尽可能小,但仍然是使用 RDFLib 中的 SPARQL 的自洽和工作示例。我有 RDFLib 版本“4.0.1”。
我想要一个执行以下操作的代码
添加
我自己尝试过(首先没有写入和读取文件),但我无法制作。这就是我所拥有的:
import rdflib
g = rdflib.ConjunctiveGraph()
has_border_with = rdflib.URIRef('www.example.org/has_border_with')
located_in = rdflib.URIRef('www.example.org/located_in')
germany = rdflib.URIRef('www.example.org/country1')
france = rdflib.URIRef('www.example.org/country2')
china = rdflib.URIRef('www.example.org/country3')
mongolia = rdflib.URIRef('www.example.org/country4')
europa = rdflib.URIRef('www.example.org/part1')
asia = rdflib.URIRef('www.example.org/part2')
g.add((germany,has_border_with,france))
g.add((china,has_border_with,mongolia))
g.add((germany,located_in,europa))
g.add((france,located_in,europa))
g.add((china,located_in,asia))
g.add((mongolia,located_in,asia))
x = g.query("""select ?country where { ?country www.example.org/located_in www.example.org/part1 }""")
print x
结果我得到:
Traceback (most recent call last):
File "hello_world.py", line 23, in <module>
x = g.query("""select ?country where { ?country www.example.org/located_in www.example.org/part1 }""")
File "/usr/local/lib/python2.7/dist-packages/rdflib-4.0.1-py2.7.egg/rdflib/graph.py", line 1045, in query
query_object, initBindings, initNs, **kwargs))
File "/usr/local/lib/python2.7/dist-packages/rdflib-4.0.1-py2.7.egg/rdflib/plugins/sparql/processor.py", line 72, in query
parsetree = parseQuery(strOrQuery)
File "/usr/local/lib/python2.7/dist-packages/rdflib-4.0.1-py2.7.egg/rdflib/plugins/sparql/parser.py", line 1034, in parseQuery
return Query.parseString(q, parseAll=True)
File "/usr/lib/python2.7/dist-packages/pyparsing.py", line 1032, in parseString
raise exc
pyparsing.ParseException: Expected "}" (at char 24), (line:1, col:25)
最佳答案
有几个问题:
http://
SPARQL 查询中的
<>
围绕它们 Graph
而不是 ConjunctiveGraph
Graph.serialize
和 Graph.parse
方法来保存和读取文件(见代码) 尝试对示例代码进行以下修改:
import rdflib
g = rdflib.Graph()
has_border_with = rdflib.URIRef('http://www.example.org/has_border_with')
located_in = rdflib.URIRef('http://www.example.org/located_in')
germany = rdflib.URIRef('http://www.example.org/country1')
france = rdflib.URIRef('http://www.example.org/country2')
china = rdflib.URIRef('http://www.example.org/country3')
mongolia = rdflib.URIRef('http://www.example.org/country4')
europa = rdflib.URIRef('http://www.example.org/part1')
asia = rdflib.URIRef('http://www.example.org/part2')
g.add((germany,has_border_with,france))
g.add((china,has_border_with,mongolia))
g.add((germany,located_in,europa))
g.add((france,located_in,europa))
g.add((china,located_in,asia))
g.add((mongolia,located_in,asia))
q = "select ?country where { ?country <http://www.example.org/located_in> <http://www.example.org/part1> }"
x = g.query(q)
print list(x)
# write graph to file, re-read it and query the newly created graph
g.serialize("graph.rdf")
g1 = rdflib.Graph()
g1.parse("graph.rdf", format="xml")
x1 = g1.query(q)
print list(x1)
关于python - 是否有带有 RDFLib 的 SPARQL 的 Hello World 示例?,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/16829351/