本体研究EquivalentTo来自多个单一类

时间:2017-06-13 14:16:57

标签: sparql rdf jena owl ontology

我正在玩比萨本体,我正在努力获得我所理解的推断知识。 对于一些单个类,我想获得使用它们的其他类的名称。

确切地说,在Pizza本体中我们可以找到:

  • 食品
  • 食品/比萨
  • 食品/比萨/ CheeseyPizza(相当于Pizza and (hasTopping some CheeseTopping); hasBase some PizzaBase的子类
  • 食品/ PizzaBase
  • 食品/ PizzaBase / DeepPanBase
  • 食品/ PizzaTopping
  • 食品/ PizzaTopping / MozzarellaTopping

我正在尝试使用MozzarellaToppingDeepPanBase编写SPARQL请求,这可能会在结果CheeseyPizza中给我...但我不知道该怎么做,我不知道是否可以这样做。 (我在某处读过可以对个人进行推断,而不是对课程进行推断(https://stackoverflow.com/questions/28396707/sparql-query-on-restriction-list-equivalent-to-in-protégé)......但是Protégé似乎对CheeseyPizza进行了推论。

目前,我刚刚获得了共同的祖先列表(使用Jena示例):

showQuery(model, prefix
        + "SELECT ?o "
        + "WHERE { "
        + " pizza:MozzarellaTopping rdfs:subClassOf* ?o . "
        + " pizza:DeepPanBase rdfs:subClassOf* ?o . "
        + " FILTER ( ! isBlank(?o) ) " + "} "
        );

是否有SPARQL请求从单个类获取推断类,而不知道本体结构? (在不知道本体结构的情况下:在祖先的要求中,我只是将这两个类命名,但我从未给过食物/比萨饼结构......我真的想在整个本体中进行真正的研究,需要莫扎里拉和DeepPan)

谢谢!

编辑:

我忘了说我也在考虑使用推理器(我在Jena工作)。 但我不知道这是否是正确的做法。

2 个答案:

答案 0 :(得分:2)

我使用了大量文档,我想我终于找到了解决方案。 这不完全符合我的预期,但现在已经足够了。 主要思想是:创建个体(概念/类的实例),将它们链接在一起,并让推理者发现事物(推论)。

有用的文档(感谢StakOverflow的链接):

https://jena.apache.org/documentation/inference/#owl

http://jena.apache.org/documentation/ontology/#instances-or-individuals

http://jena.apache.org/documentation/ontology/index.html

首先,我的解决方案是什么:

  • 实例化基本模型(并加载披萨本体)
  • 实例化推理模型(并选择推理器)
  • 在基础模型中创建:多个人和他们之间的属性/关系
  • 检查模型的有效性,请求断言(在基本模型中)和

它正在运作。我可以创建一个单独的“MozzarellaTopping”,一个单独的“DeepPanBase”和一个单独的“Food”。我向“食物”添加了两个属性:hasBase到单独的DeepPanBase,并且已经跳到单独的MozzarellaTopping。

这是一步一步解释的代码(最后的完整代码):

从pizza.owl.rdf

实例化并加载基本模型
    public static final String  SOURCE      = "./resources/";
    public static final String  PIZZA_NS    = "http://www.co-ode.org/ontologies/pizza/pizza.owl#";

    public void run()
    {
        // Prefix/Header for SPARQL requests
        final String prefix = "prefix pizza: <" + PIZZA_NS + ">\n"
                + "prefix rdfs: <" + RDFS.getURI() + ">\n" + "prefix owl: <"
                + OWL.getURI() + ">\n";
        // Prefix for classes, individuals, ... for every object
        final String NS = PIZZA_NS;

        System.out.println("CREATE THE BASE MODEL\n");
        // CREATE THE BASE MODEL
        OntModel base = ModelFactory.createOntologyModel(OntModelSpec.OWL_MEM);
        base.read(SOURCE + "pizza.owl.rdf", "RDF/XML");

创建推断模型:

    System.out.println("CREATE THE REASONING MODEL USING THE BASE\n");
        // CREATE THE REASONING MODEL USING THE BASE
        OntModel inf = ModelFactory.createOntologyModel(OntModelSpec.OWL_MEM_MICRO_RULE_INF, base);
        // OWL_MEM_MICRO_RULE_INF // It works + Very quick
        // OWL_MEM_MINI_RULE_INF // It works + Slow (40Mins) + 1,1Go RAM (Validity is slow)
        // OWL_MEM_RULE_INF // It works (mights loop if error) + VERY SLOW + 2,1 GO RAM (unfinished)
        // OWL_MEM_TRANS_INF // It works (SPARQL mights not work) + Ultra Speed / No inference

在java中获取有用的类和属性,以供将来的个人实例化使用:

        System.out.println("CREATE INDIVIDUALS FOR TESTING PURPOSE\n");
        // CREATE INDIVIDUALS FOR TESTING PURPOSE

        // Instantiate each useful Class
        OntClass ThingClass = base.getOntClass(NS + "owl:Thing");
        OntClass FoodClass = base.getOntClass(NS + "Food");
        OntClass IceCreamClass = base.getOntClass(NS + "IceCream");
        OntClass PizzaClass = base.getOntClass(NS + "Pizza");
        OntClass MozzaToppingClass = base.getOntClass(NS + "MozzarellaTopping");
        OntClass DeepPanBaseClass = base.getOntClass(NS + "DeepPanBase");

        // Instantiate each useful Property (relation)
        OntProperty hasIngredientProperty = base.createObjectProperty(NS + "hasIngredient");
        OntProperty hasBaseProperty = base.createObjectProperty(NS + "hasBase");
        OntProperty hasToppingProperty = base.createObjectProperty(NS + "hasTopping");

        // Instantiate each useful individual
        Individual MozzaTopping = base.createIndividual(NS + "MyMozzaTopping", MozzaToppingClass);
        Individual DeepPanBase = base.createIndividual(NS + "MyDeepPanBase", DeepPanBaseClass);

然后,我首先检查一个有两个同时课程的人(MozzarellaTopping和DeepPanBase)......推理者看到一个CheeseyPizza,但有效性报告不起作用:

        /*
         * BEGINNING OF THE TESTS HERE
         */
        System.out.println("\nTEST VALIDITY BEFORE ADDING INDIVIDUALS\n");
        checkValidity(inf);

        // Instantiate testing individuals
        // MyPizza1 : individual with 2 classes simultaneously (Mozza & DeepPan)
        Individual MyPizza1 = base.createIndividual(NS + "MyPizza1", ThingClass);
        MyPizza1.setOntClass(MozzaToppingClass);
        MyPizza1.addOntClass(DeepPanBaseClass);

        System.out.println("\nTest MyPizza1\n");
        showAsserted(base, NS + "MyPizza1");
        showInferred(inf, NS + "MyPizza1");
        System.out.println("\nTest Validity of MyPizza1 : ");
        checkValidity(inf); // ERROR

        MyPizza1.remove();
        System.out.println("\nRemove MyPizza1, Validity should be OK now : ");
        checkValidity(inf); // OK

然后,我尝试了一个与我有关系的“食物”(或“披萨”)个人有基础DeepPanBase,另一个关系有跳过MozzarellaTopping。这是有效的,有效性检查中的问题:

        // MyPizza2 : individual of class "Food", linked with Mozza & DeepPan
        Individual MyPizza2 = base.createIndividual(NS + "MyPizza2", FoodClass);
        MyPizza2.addProperty(hasBaseProperty, DeepPanBase);
        MyPizza2.addProperty(hasToppingProperty, MozzaTopping);

        System.out.println("\nTest MyPizza2\n");
        showAsserted(base, NS + "MyPizza2");
        showInferred(inf, NS + "MyPizza2");
        System.out.println("\nTest Validity of MyPizza2 : ");
        checkValidity(inf); // OK

        MyPizza2.remove();
        System.out.println("\nRemove MyPizza2, Validity should be OK now : ");
        checkValidity(inf); // OK

然后,我尝试一个DeepPanBase个体,我给它一个属性/关系hasTopping MozzarellaTopping。理由也像你想象的那样:他说这是一个CheeseyPizza,但是,有效性检查说这是错误的。

        // MyPizza3 : individual of class "DeepPanBase", linked with Mozza
        Individual MyPizza3 = base.createIndividual(NS + "MyPizza3", DeepPanBaseClass);
        MyPizza3.addProperty(hasToppingProperty, MozzaTopping);

        System.out.println("\nTest MyPizza3\n");
        showAsserted(base, NS + "MyPizza3");
        showInferred(inf, NS + "MyPizza3");
        System.out.println("\nTest Validity of MyPizza3 : ");
        checkValidity(inf); // ERROR

        MyPizza3.remove();
        System.out.println("\nRemove MyPizza3, Validity should be OK now : ");
        checkValidity(inf); // OK

最后,用IceCream个人(食物)进行测试。我给它一个关系hasBase DeepPanBase和另一个关系hasTopping MozzarellaTopping。推理者说这是一个CheeseyPizza,有效性检查大声说它是错误的。

        // IceCream : individual of class "IceCream", linked with Moza & DeePan
        Individual MyIceCream = base.createIndividual(NS + "MyIceCream", IceCreamClass);
        MyIceCream.addProperty(hasBaseProperty, DeepPanBase);
        MyIceCream.addProperty(hasToppingProperty, MozzaTopping);

        System.out.println("\nTest IceCream\n");
        showAsserted(base, NS + "MyIceCream");
        showInferred(inf, NS + "MyIceCream");
        System.out.println("\nTest Validity of IceCream : ");
        checkValidity(inf);

有效性检查器是对的。如果你检查什么是比萨,你会发现它是一个单独的“食物”,其中包含“成分”/浇头,至少有一个比萨饼......但它也不是比萨饼,而不是比萨饼,而不是冰淇淋。 (这就是为什么有效性检查正在哭...如果我试图将PizzaTopping放在IceCream上,那是不可能的......)

无论如何,正如我所承诺的,我在这里给出了完整的代码:

    /*
     * Example of usage of reasoner with Java. Everything is coming from Apache JENA
     * examples. I modified a lot of things for making my personal requests.
     * Fabrice Boissier
     */

    package Jena_Reasoner_Simple;

    import java.util.Date;
    import java.util.Iterator;

    import org.apache.jena.ontology.Individual;
    import org.apache.jena.ontology.OntClass;
    import org.apache.jena.ontology.OntModel;
    import org.apache.jena.ontology.OntModelSpec;
    import org.apache.jena.ontology.OntProperty;
    import org.apache.jena.rdf.model.ModelFactory;
    import org.apache.jena.rdf.model.Resource;
    import org.apache.jena.reasoner.ValidityReport;
    import org.apache.jena.vocabulary.OWL;
    import org.apache.jena.vocabulary.RDFS;

    public class Simple_Reasoner_StepByStep
    {
    public static void main(String[] args)
    {
        System.out.println("BEGIN : " + new Date());
        new Simple_Reasoner_StepByStep().run();
        System.out.println("END : " + new Date());
    }

    public static final String  SOURCE      = "./resources/";
    public static final String  PIZZA_NS    = "http://www.co-ode.org/ontologies/pizza/pizza.owl#";

    public void run()
    {
        // Prefix/Header for SPARQL requests
        final String prefix = "prefix pizza: <" + PIZZA_NS + ">\n"
                + "prefix rdfs: <" + RDFS.getURI() + ">\n" + "prefix owl: <"
                + OWL.getURI() + ">\n";
        // Prefix for classes, individuals, ... for every object
        final String NS = PIZZA_NS;

        System.out.println("CREATE THE BASE MODEL\n");
        // CREATE THE BASE MODEL
        OntModel base = ModelFactory.createOntologyModel(OntModelSpec.OWL_MEM);
        base.read(SOURCE + "pizza.owl.rdf", "RDF/XML");

        System.out.println("CREATE THE REASONING MODEL USING THE BASE\n");
        // CREATE THE REASONING MODEL USING THE BASE
        OntModel inf = ModelFactory.createOntologyModel(OntModelSpec.OWL_MEM_MICRO_RULE_INF, base);
        // OWL_MEM_MICRO_RULE_INF // It works + Very quick
        // OWL_MEM_MINI_RULE_INF // It works + Slow (40Mins) + 1,1Go RAM (Validity is slow)
        // OWL_MEM_RULE_INF // It works (mights loop if error) + VERY SLOW + 2,1 GO RAM (unfinished)
        // OWL_MEM_TRANS_INF // It works (SPARQL mights not work) + Ultra Speed / No inference

        System.out.println("CREATE INDIVIDUALS FOR TESTING PURPOSE\n");
        // CREATE INDIVIDUALS FOR TESTING PURPOSE

        // Instantiate each useful Class
        OntClass ThingClass = base.getOntClass(NS + "owl:Thing");
        OntClass FoodClass = base.getOntClass(NS + "Food");
        OntClass IceCreamClass = base.getOntClass(NS + "IceCream");
        OntClass PizzaClass = base.getOntClass(NS + "Pizza");
        OntClass MozzaToppingClass = base.getOntClass(NS + "MozzarellaTopping");
        OntClass DeepPanBaseClass = base.getOntClass(NS + "DeepPanBase");

        // Instantiate each useful Property (relation)
        OntProperty hasIngredientProperty = base.createObjectProperty(NS + "hasIngredient");
        OntProperty hasBaseProperty = base.createObjectProperty(NS + "hasBase");
        OntProperty hasToppingProperty = base.createObjectProperty(NS + "hasTopping");

        // Instantiate each useful individual
        Individual MozzaTopping = base.createIndividual(NS + "MyMozzaTopping", MozzaToppingClass);
        Individual DeepPanBase = base.createIndividual(NS + "MyDeepPanBase", DeepPanBaseClass);

        /*
         * BEGINNING OF THE TESTS HERE
         */
        System.out.println("\nTEST VALIDITY BEFORE ADDING INDIVIDUALS\n");
        checkValidity(inf);

        // Instantiate testing individuals
        // MyPizza1 : individual with 2 classes simultaneously (Mozza & DeepPan)
        Individual MyPizza1 = base.createIndividual(NS + "MyPizza1", ThingClass);
        MyPizza1.setOntClass(MozzaToppingClass);
        MyPizza1.addOntClass(DeepPanBaseClass);

        System.out.println("\nTest MyPizza1\n");
        showAsserted(base, NS + "MyPizza1");
        showInferred(inf, NS + "MyPizza1");
        System.out.println("\nTest Validity of MyPizza1 : ");
        checkValidity(inf); // ERROR

        MyPizza1.remove();
        System.out.println("\nRemove MyPizza1, Validity should be OK now : ");
        checkValidity(inf); // OK

        // MyPizza2 : individual of class "Food", linked with Mozza & DeepPan
        Individual MyPizza2 = base.createIndividual(NS + "MyPizza2", FoodClass);
        MyPizza2.addProperty(hasBaseProperty, DeepPanBase);
        MyPizza2.addProperty(hasToppingProperty, MozzaTopping);

        System.out.println("\nTest MyPizza2\n");
        showAsserted(base, NS + "MyPizza2");
        showInferred(inf, NS + "MyPizza2");
        System.out.println("\nTest Validity of MyPizza2 : ");
        checkValidity(inf); // OK

        MyPizza2.remove();
        System.out.println("\nRemove MyPizza2, Validity should be OK now : ");
        checkValidity(inf); // OK

        // MyPizza3 : individual of class "DeepPanBase", linked with Mozza
        Individual MyPizza3 = base.createIndividual(NS + "MyPizza3", DeepPanBaseClass);
        MyPizza3.addProperty(hasToppingProperty, MozzaTopping);

        System.out.println("\nTest MyPizza3\n");
        showAsserted(base, NS + "MyPizza3");
        showInferred(inf, NS + "MyPizza3");
        System.out.println("\nTest Validity of MyPizza3 : ");
        checkValidity(inf); // ERROR

        MyPizza3.remove();
        System.out.println("\nRemove MyPizza3, Validity should be OK now : ");
        checkValidity(inf); // OK

        // IceCream : individual of class "IceCream", linked with Moza & DeePan
        Individual MyIceCream = base.createIndividual(NS + "MyIceCream", IceCreamClass);
        MyIceCream.addProperty(hasBaseProperty, DeepPanBase);
        MyIceCream.addProperty(hasToppingProperty, MozzaTopping);

        System.out.println("\nTest IceCream\n");
        showAsserted(base, NS + "MyIceCream");
        showInferred(inf, NS + "MyIceCream");
        System.out.println("\nTest Validity of IceCream : ");
        checkValidity(inf);

        /*
         * END OF THE TESTS HERE
         */

        System.out.println("End Tests\n");
    }

    protected void showAsserted(OntModel m, String individualURI)
    {
        // list the asserted types
        Individual instance = m.getIndividual(individualURI); // BASE
        for (Iterator<Resource> i = instance.listRDFTypes(false); i.hasNext();)
        {
            System.out
                    .println(instance.getURI() + " is asserted in class " + i.next());
        }
    }

    protected void showInferred(OntModel m, String individualURI)
    {
        // list the inferred types
        Individual instance = m.getIndividual(individualURI); // INFERED
        for (Iterator<Resource> i = instance.listRDFTypes(false); i.hasNext();)
        {
            System.out.println(
                    instance.getURI() + " is inferred to be in class " + i.next());
        }
    }

    protected void checkValidity(OntModel inf)
    {
        ValidityReport validity = inf.validate();
        if (validity.isValid())
        {
            System.out.println("OK");
        }
        else
        {
            System.out.println("Conflicts");
            for (Iterator i = validity.getReports(); i.hasNext();)
            {
                System.out.println(" - " + i.next());
            }
        }
    }

}

要使代码在Eclipse或其他上运行,首先需要将pizza ontologie文件(pizza.owl.rdf)放在名为“resources”的文件夹中,然后添加这些JAR(在Eclipse中:Build Path - &gt;配置构建路径 - &gt;添加JAR):

  • 公地-CLI-1.3.jar
  • 公地lang3-3.4.jar
  • 的HttpClient-4.5.2.jar
  • HttpClient的缓存-4.5.2.jar
  • 的HttpCore-4.4.4.jar
  • 杰克逊 - 注解-2.7.0.jar
  • jackson-core-2.7.4.jar
  • 杰克逊 - 数据绑定-2.7.4.jar
  • 耶拿-ARQ-3.3.0.jar
  • Jena的碱基3.3.0.jar
  • Jena的核 - 3.3.0.jar
  • 耶拿-IRI-3.3.0.jar
  • 耶拿rdfconnection-3.3.0.jar
  • Jena的阴影-番石榴3.3.0.jar
  • jsonld-java的0.9.0.jar
  • libthrift-0.9.3.jar
  • 的log4j-1.2.17.jar
  • SLF4J-API-1.7.21.jar
  • SLF4J-log4j12-1.7.21.jar
  • xercesImpl-2.11.0.jar
  • XML的API-1.4.01.jar

答案 1 :(得分:2)

为了升级答案,这里有一个小代码,用于使用Jena加载模型,在其上启动推理器,添加个体(创建推理),并在基础模型和感染模型上发出多个SPARQL请求让那些人在课堂上学习:

 extract(array_combine(array_keys($array=json_decode($json,true)),array_column($array,"Value")));
// $clientPrivateKey,$serverPublicKey,$serverPrivateKey,$expectedBucketName are now set