[英]Use Jena API to create a large number individuals based on OWL ontology (created on Protege)
I have a large XML document (100 Go), and want to parse it to extract informations and store them into RDF triple store. 我有一个很大的XML文档(100 Go),并且想对其进行解析以提取信息并将其存储到RDF三重存储中。
I found how to parse a large XML file using Java, and know how to read/write RDF file using Jena RDF API. 我发现了如何使用Java解析大型XML文件,并且知道如何使用Jena RDF API读写RDF文件。
OWL
ontology, created using Protege
? Protege
创建的OWL
本体中实现的类创建实例? OWL
ontology and create instances of classes as triples and store them into an RDF File
using Jena
? OWL
本体并创建三元组的类实例,然后使用Jena
将它们存储到RDF File
中? The main problem is the large number of instances (triples) created. 主要问题是创建了大量实例(三重)。
XML file Sample : XML文件样本:
<?xml version="1.0"?>
<catalog>
<book id="bk101">
<author>
<name>Gaella, Matt</name>
<initial>MG</initial>
</author>
<title>User Guide</title>
<price>45.95</price>
<publish_date>2010-10-01</publish_date>
</book>
<book id="bk102">
<author>
<name>Rall, Kimiou</name>
<initial>KR</initial>
</author>
<title>Midnight Scene</title>
<price>5.75</price>
<publish_date>2011-12-02</publish_date>
</book>
<book id="bk103">
<author>
<name>Colin, Evian</name>
<initial>EC</initial>
</author>
<title>Cool Ascendant</title>
<price>5.50</price>
<publish_date>2012-11-03</publish_date>
</book>
<book id="bk104">
<author>
<name>Cortes, Smith</name>
<initial>SC</initial>
</author>
<title>Farmer Legacy</title>
<price>10.50</price>
<publish_date>2013-03-04</publish_date>
</book>
. . .
</catalog>
OWL-DL Ontology : OWL-DL本体:
<?xml version="1.0"?>
<rdf:RDF
xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
xmlns:swrlb="http://www.w3.org/2003/11/swrlb#"
xmlns="http://www.owl-ontologies.com/OntologyBooks.owl#"
xmlns:xsp="http://www.owl-ontologies.com/2005/08/07/xsp.owl#"
xmlns:owl="http://www.w3.org/2002/07/owl#"
xmlns:protege="http://protege.stanford.edu/plugins/owl/protege#"
xmlns:swrl="http://www.w3.org/2003/11/swrl#"
xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#"
xmlns:xsd="http://www.w3.org/2001/XMLSchema#"
xml:base="http://www.owl-ontologies.com/OntologyBooks.owl">
<owl:Ontology rdf:about=""/>
<owl:Class rdf:ID="Book">
<owl:disjointWith>
<owl:Class rdf:ID="Author"/>
</owl:disjointWith>
<rdfs:subClassOf>
<owl:Restriction>
<owl:allValuesFrom>
<owl:Class rdf:about="#Author"/>
</owl:allValuesFrom>
<owl:onProperty>
<owl:ObjectProperty rdf:ID="hasAuthor"/>
</owl:onProperty>
</owl:Restriction>
</rdfs:subClassOf>
<rdfs:subClassOf>
<owl:Restriction>
<owl:onProperty>
<owl:ObjectProperty rdf:about="#hasAuthor"/>
</owl:onProperty>
<owl:someValuesFrom>
<owl:Class rdf:about="#Author"/>
</owl:someValuesFrom>
</owl:Restriction>
</rdfs:subClassOf>
<rdfs:subClassOf>
<owl:Restriction>
<owl:cardinality rdf:datatype="http://www.w3.org/2001/XMLSchema#int"
>1</owl:cardinality>
<owl:onProperty>
<owl:DatatypeProperty rdf:ID="price"/>
</owl:onProperty>
</owl:Restriction>
</rdfs:subClassOf>
<rdfs:subClassOf>
<owl:Restriction>
<owl:cardinality rdf:datatype="http://www.w3.org/2001/XMLSchema#int"
>1</owl:cardinality>
<owl:onProperty>
<owl:DatatypeProperty rdf:ID="publishDate"/>
</owl:onProperty>
</owl:Restriction>
</rdfs:subClassOf>
<rdfs:subClassOf>
<owl:Restriction>
<owl:onProperty>
<owl:DatatypeProperty rdf:ID="title"/>
</owl:onProperty>
<owl:cardinality rdf:datatype="http://www.w3.org/2001/XMLSchema#int"
>1</owl:cardinality>
</owl:Restriction>
</rdfs:subClassOf>
<rdfs:subClassOf rdf:resource="http://www.w3.org/2002/07/owl#Thing"/>
</owl:Class>
<owl:Class rdf:about="#Author">
<rdfs:subClassOf>
<owl:Restriction>
<owl:cardinality rdf:datatype="http://www.w3.org/2001/XMLSchema#int"
>1</owl:cardinality>
<owl:onProperty>
<owl:DatatypeProperty rdf:ID="initial"/>
</owl:onProperty>
</owl:Restriction>
</rdfs:subClassOf>
<rdfs:subClassOf>
<owl:Restriction>
<owl:cardinality rdf:datatype="http://www.w3.org/2001/XMLSchema#int"
>1</owl:cardinality>
<owl:onProperty>
<owl:DatatypeProperty rdf:ID="name"/>
</owl:onProperty>
</owl:Restriction>
</rdfs:subClassOf>
<rdfs:subClassOf rdf:resource="http://www.w3.org/2002/07/owl#Thing"/>
<owl:disjointWith rdf:resource="#Book"/>
</owl:Class>
<owl:ObjectProperty rdf:ID="isAuthorOf">
<rdfs:domain rdf:resource="#Author"/>
<rdfs:range rdf:resource="#Book"/>
<owl:inverseOf>
<owl:ObjectProperty rdf:about="#hasAuthor"/>
</owl:inverseOf>
</owl:ObjectProperty>
<owl:ObjectProperty rdf:about="#hasAuthor">
<owl:inverseOf rdf:resource="#isAuthorOf"/>
<rdfs:domain rdf:resource="#Book"/>
<rdfs:range rdf:resource="#Author"/>
</owl:ObjectProperty>
<owl:DatatypeProperty rdf:about="#publishDate">
<rdfs:domain rdf:resource="#Book"/>
<rdfs:range rdf:resource="http://www.w3.org/2001/XMLSchema#date"/>
</owl:DatatypeProperty>
<owl:DatatypeProperty rdf:about="#price">
<rdfs:domain rdf:resource="#Book"/>
<rdfs:range rdf:resource="http://www.w3.org/2001/XMLSchema#float"/>
</owl:DatatypeProperty>
<owl:DatatypeProperty rdf:about="#initial">
<rdfs:domain rdf:resource="#Author"/>
<rdfs:range rdf:resource="http://www.w3.org/2001/XMLSchema#string"/>
</owl:DatatypeProperty>
<owl:DatatypeProperty rdf:about="#name">
<rdfs:domain rdf:resource="#Author"/>
<rdfs:range rdf:resource="http://www.w3.org/2001/XMLSchema#string"/>
</owl:DatatypeProperty>
<owl:DatatypeProperty rdf:about="#title">
<rdfs:range rdf:resource="http://www.w3.org/2001/XMLSchema#string"/>
<rdfs:domain rdf:resource="#Book"/>
</owl:DatatypeProperty>
</rdf:RDF>
Have you considered the disk based models in Jena? 您是否考虑过耶拿基于磁盘的模型? I'm referring to TDB and Fuseki.
我指的是TDB和Fuseki。
The documentation here says: 这里的文档说:
"If you wish to share a TDB dataset between multiple applications please use our Fuseki component which provides a SPARQL server that can use TDB for persistent storage and provides the SPARQL protocols for query, update and REST update over HTTP." “如果您希望在多个应用程序之间共享TDB数据集,请使用我们的Fuseki组件,该组件提供了一个SPARQL服务器,该服务器可以使用TDB进行持久性存储,并提供SPARQL协议来通过HTTP查询,更新和REST更新。”
TDB supports very large ontologies, and you can access the stored data through a Jena model - after loading the ontology, you would then explore and add individuals this way. TDB支持非常大的本体,您可以通过Jena模型访问存储的数据-加载本体后,您便可以这种方式探索并添加个人。
Fuseki also supports SPARQL and updates - which means you could also add the individuals that way. Fuseki还支持SPARQL和更新-这意味着您也可以通过这种方式添加个人。
There is also support for exporting the stored models back to RDF files - which would provide you with the output you seek. 还支持将存储的模型导出回RDF文件-这将为您提供所需的输出。
Regarding creating instances for classes defined in Protege, this is easy - you will find the classes declared in the RDF file, most likely in triples like 关于为Protege中定义的类创建实例,这很容易-您会在RDF文件中找到声明的类,很可能是三元组,例如
classIRI rdf:type owl:Class
You can then create instances with 然后,您可以使用创建实例
instanceIRI rdf:type classIRI
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