知识图谱03:JENA

1、下载apache-jena-fuseki和apache-jena
https://jena.apache.org/download/index.cgi

2、将上一篇教程的nt文件转换为tdb格式

cd apache-jena-3.9.0\bat
tdbloader.bat --loc="PATH_TO_TDB\tdb" "PATH_TO_NT\movies_mapping.nt"

3、切换到apache-jena-fuseki-3.9.0目录,启动一次服务,然后退出

4、将教程1里面的Movies.owl,拷贝到apache-jena-fuseki-3.9.0\run\databases路径下面,并重命名为Movies.ttl

5、创建配置文件apache-jena-fuseki-3.9.0\run\configuration\fuseki_conf.ttl

@prefix fuseki: <http://jena.apache.org/fuseki#> . 
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> . 
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> . 
@prefix tdb: <http://jena.hpl.hp.com/2008/tdb#> . 
@prefix ja: <http://jena.hpl.hp.com/2005/11/Assembler#> . 
@prefix : <http://base/#> . 

<#service> rdf:type fuseki:Service ; 
    fuseki:name "movies" ;
    fuseki:serviceQuery "sparql" ;
    fuseki:dataset <#dataset> ; 
    fuseki:serviceReadGraphStore      "get" ;
    fuseki:serviceReadWriteGraphStore "data" ;
    fuseki:serviceUpdate              "update" ;
    fuseki:serviceUpload              "upload"
    . 

<#dataset> rdf:type ja:RDFDataset ;
	ja:defaultGraph <#modelInf> ;
	.

<#modelInf> 
    rdf:type ja:InfModel ;
    #ja:reasoner [ja:reasonerURL <http://jena.hpl.hp.com/2003/OWLFBRuleReasoner>]  
    ja:reasoner [ 
        ja:reasonerURL <http://jena.hpl.hp.com/2003/GenericRuleReasoner> ; 
        ja:rulesFrom <file:///D:/ProjectsMy/KG/apache-jena-fuseki-3.9.0/run/databases/Rules.ttl> ] ; 
    ja:baseModel <#baseModel> ; 
    . 

<#baseModel> rdf:type tdb:GraphTDB ; 
    tdb:location "D:/ProjectsMy/KG/workspace/data/tdb" ; 
    tdb:unionDefaultGraph true ; 
    .

6、创建规则文件apache-jena-fuseki-3.9.0\run\databases\Movies.ttl
这个规则规定了,演过喜剧的演员,叫做喜剧演员(Comedian)

@prefix xsd: <XML Schema> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix : <http://www.neohope.com/hansen/ontologies/2018/movies#> .

[ruleComedian: (?aPerson :hasActedIn ?aMovie) (?aMovie :hasGenre ?aGenre) (?aGenre :genreName '喜剧') -> (?aPerson rdf:type :Comedian)]
[ruleInverse: (?aPerson :hasActedIn ?aMove) -> (?aMovie :hasActor ?aPerson)]

7、启动apache-jena-fuseki-3.9.0

8、访问http://localhost:3030/

9、进行查询,上一篇的例子也都可以用
http://localhost:3030/dataset.html?tab=query&ds=/movies

PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
prefix owl: <http://www.w3.org/2002/07/owl#>
prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#>
prefix : <http://www.neohope.com/hansen/ontologies/2018/movies#>

SELECT ?name WHERE {
?aComedian rdf:type :Comedian.
?aComedian :personName ?name.
}
LIMIT 10

10、通过python访问
https://github.com/neohope/kg-demo-for-movie/tree/master/src/query-jena.py

参考链接:
https://zhuanlan.zhihu.com/knowledgegraph
https://github.com/SimmerChan/KG-demo-for-movie

PS:
参考教程中,原作者通过结巴分词+正则匹配+Jena,实现了一个简单的问答系统,感兴趣的话,大家可以看下。

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