Converter 对于ApacheJena输入:从CSV到RDF格式的转换
我将使用ApacheJena,它采用RDF作为输入格式。但我有CSV格式的数据。我做了很多研究,但找不到一个方法来转换它。有人知道如何有效地做到这一点吗Converter 对于ApacheJena输入:从CSV到RDF格式的转换,converter,rdf,jena,rdfs,apache-jena,Converter,Rdf,Jena,Rdfs,Apache Jena,我将使用ApacheJena,它采用RDF作为输入格式。但我有CSV格式的数据。我做了很多研究,但找不到一个方法来转换它。有人知道如何有效地做到这一点吗 我已经浏览过xml123之类的工具,但下载链接不起作用 使用jena arq和jena csv(均为v3.0.1),以下方法对我有效: public static void main(String ... strings) throws Exception { CSV2RDF.init(); //load through man
我已经浏览过xml123之类的工具,但下载链接不起作用 使用jena arq和jena csv(均为v3.0.1),以下方法对我有效:
public static void main(String ... strings) throws Exception {
CSV2RDF.init();
//load through manager:
//Model m = RDFDataMgr.loadModel("test.csv") ;
//classic way to load:
Model m = ModelFactory.createDefaultModel();
try (InputStream in = JenaCSVTest.class.getResourceAsStream("/test.csv")) {
m.read(in, "http://example.com", "csv");
}
m.setNsPrefix("test", "http://example.com#");
m.write(System.out, "ttl");
}
输入(test.csv):
输出(海龟中的rdf):
此代码段将生成以下RDF:
@prefix test: <http://example.com#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
[ a test:Row ;
test:population 123000 ;
test:town "Southton"
] .
[ a test:Row ;
test:population 654000 ;
test:town "Northville"
] .
@前缀测试:。
@前缀xsd:。
[a测试:行;
测试:人口123000;
测试:“南顿”镇
] .
[a测试:行;
试验:人口654000;
测试:小镇“Northville”
] .
您还可以使用它构建通用的CSV/RDF图,然后使用SPARQL构造
查询对其进行转换。(免责声明:我是作者)Tmp1.class来自哪里?这是耶拿的属地吗?哪一个是正确的导入需要?它是关于java的,而不是关于jena的Tmp1
是工作示例类的名称。请阅读javadoc以了解java.lang.Class#getResourceAsStream(String)
方法,
@prefix test: <http://example.com#> .
[ test:Population "123000"^^<http://www.w3.org/2001/XMLSchema#double> ;
test:Town "Southton" ;
<http://w3c/future-csv-vocab/row>
1
] .
[ test:Population "654000"^^<http://www.w3.org/2001/XMLSchema#double> ;
test:Town "Northville" ;
<http://w3c/future-csv-vocab/row>
2
] .
Path file = Paths.get(JenaCSVTest.class.getResource("/test.csv").toURI());
String base = "http://example.com#";
Model m = ModelFactory.createDefaultModel().setNsPrefix("xsd", XSD.getURI()).setNsPrefix("test", base);
Graph g = m.getGraph();
CSVOptions op = new CSVOptions();
op.setDefaultsForCSV();
String query = "PREFIX test: <" + base + ">\n" +
"PREFIX xsd: <" + XSD.getURI() + ">\n" +
"CONSTRUCT {\n" +
" ?Row a test:Row;\n" +
" test:town ?town;\n" +
" test:population ?population;\n" +
"} \n" +
"WHERE {\n" +
" BIND (BNODE() AS ?Row)\n" +
" BIND (xsd:string(?Town) AS ?town)\n" +
" BIND (xsd:integer(?Population) AS ?population)\n" +
"}";
TarqlQuery q = new TarqlQuery(QueryFactory.create(query));
InputStreamSource src = InputStreamSource.fromFilenameOrIRI(file.toUri().toString());
TarqlQueryExecution qe = TarqlQueryExecutionFactory.create(q, src, op);
qe.execTriples().forEachRemaining(g::add);
m.write(System.out, "ttl");
@prefix test: <http://example.com#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
[ a test:Row ;
test:population 123000 ;
test:town "Southton"
] .
[ a test:Row ;
test:population 654000 ;
test:town "Northville"
] .