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Rdf 耶拿'；s子查询交集返回空，与Proté的结果相反；gé/顶级编曲

rdf sparql

Rdf 耶拿'；s子查询交集返回空，与Proté的结果相反；gé/顶级编曲,rdf,sparql,jena,protege,topbraid-composer,Rdf,Sparql,Jena,Protege,Topbraid Composer,我在apache-jena-2.11.1（Eclipse64JVM）、Protégé和TopBraid Composer（免费版）上运行相同的SPARQL查询 Jena返回一个空集，而Protégé和TopBraid Composer都返回/找到正确的结果 SPARQL查询： PREFIX core: <http://www.linked-usdl.org/ns/usdl-core#> PREFIX rdf: <http://www.w3.org/1999/02/22-r

我在apache-jena-2.11.1（Eclipse64JVM）、Protégé和TopBraid Composer（免费版）上运行相同的SPARQL查询

Jena返回一个空集，而Protégé和TopBraid Composer都返回/找到正确的结果

SPARQL查询：

PREFIX  core: <http://www.linked-usdl.org/ns/usdl-core#>
PREFIX  rdf:  <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
PREFIX  price: <http://www.linked-usdl.org/ns/usdl-price#>
PREFIX  pf:   <http://jena.hpl.hp.com/ARQ/property#>
PREFIX  spin: <http://spinrdf.org/spin#>
PREFIX  xsd:  <http://www.w3.org/2001/XMLSchema#>
PREFIX  rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX  gr:   <http://purl.org/goodrelations/v1#>
PREFIX  cloudtaxonomy: <http://rdfs.genssiz.org/CloudTaxonomy#>

SELECT REDUCED  ?offering
WHERE
  { { SELECT REDUCED  ?offering
      WHERE
        { ?offering rdf:type core:ServiceOffering .
          ?offering core:includes ?serv
            { ?serv gr:qualitativeProductOrServiceProperty ?f .
              ?f rdf:type cloudtaxonomy:Location .
              ?f rdfs:label ?value
              FILTER REGEX(?value, "tokyo", "i")
            }
          UNION
            { ?serv core:hasServiceModel ?model .
              ?model gr:qualitativeProductOrServiceProperty ?f .
              ?f rdf:type cloudtaxonomy:Location .
              ?f rdfs:label ?value
              FILTER REGEX(?value, "tokyo", "i")
            }
        }
    }
    { SELECT REDUCED  ?offering
      WHERE
        { ?offering rdf:type core:ServiceOffering .
          ?offering core:includes ?serv
            { ?serv gr:quantitativeProductOrServiceProperty cloudtaxonomy:MemorySize .
              ?f gr:hasValue ?value
              FILTER ( ?value >= 3.7 )
            }
          UNION
            { ?serv gr:quantitativeProductOrServiceProperty ?f .
              ?f rdf:type cloudtaxonomy:MemorySize .
              ?f gr:hasValue ?value
              FILTER ( ?value >= 3.7 )
            }
          UNION
            { ?serv core:hasServiceModel ?model .
              ?model gr:quantitativeProductOrServiceProperty cloudtaxonomy:MemorySize .
              ?f gr:hasValue ?value
              FILTER ( ?value >= 3.7 )
            }
          UNION
            { ?serv core:hasServiceModel ?model .
              ?model gr:quantitativeProductOrServiceProperty ?f .
              ?f rdf:type cloudtaxonomy:MemorySize .
              ?f gr:hasValue ?value
              FILTER ( ?value >= 3.7 )
            }
          UNION
            { ?serv core:hasServiceModel ?model .
              ?model gr:quantitativeProductOrServiceProperty ?f .
              ?f rdf:type cloudtaxonomy:MemorySize .
              ?f gr:hasMinValue ?value
              FILTER ( ?value >= 3.7 )
            }
        }
    }
    { SELECT REDUCED  ?offering
      WHERE
        { ?offering rdf:type core:ServiceOffering .
          ?offering core:includes ?serv
            { ?serv gr:quantitativeProductOrServiceProperty cloudtaxonomy:DiskSize .
              ?f gr:hasValue ?value
              FILTER ( ?value >= 150.0 )
            }
          UNION
            { ?serv gr:quantitativeProductOrServiceProperty ?f .
              ?f rdf:type cloudtaxonomy:DiskSize .
              ?f gr:hasValue ?value
              FILTER ( ?value >= 150.0 )
            }
          UNION
            { ?serv core:hasServiceModel ?model .
              ?model gr:quantitativeProductOrServiceProperty cloudtaxonomy:DiskSize .
              ?f gr:hasValue ?value
              FILTER ( ?value >= 150.0 )
            }
          UNION
            { ?serv core:hasServiceModel ?model .
              ?model gr:quantitativeProductOrServiceProperty ?f .
              ?f rdf:type cloudtaxonomy:DiskSize .
              ?f gr:hasValue ?value
              FILTER ( ?value >= 150.0 )
            }
          UNION
            { ?serv core:hasServiceModel ?model .
              ?model gr:quantitativeProductOrServiceProperty ?f .
              ?f rdf:type cloudtaxonomy:DiskSize .
              ?f gr:hasMinValue ?value
              FILTER ( ?value >= 150.0 )
            }
        }
    }
    { SELECT REDUCED  ?offering
      WHERE
        { ?offering rdf:type core:ServiceOffering .
          ?offering core:includes ?serv
            { ?serv gr:qualitativeProductOrServiceProperty ?f .
              ?f rdf:type cloudtaxonomy:Feature .
              ?f rdfs:label ?value
              FILTER REGEX(?value, "Virtual Machine", "i")
            }
          UNION
            { ?serv core:hasServiceModel ?model .
              ?model gr:qualitativeProductOrServiceProperty ?f .
              ?f rdf:type cloudtaxonomy:Feature .
              ?f rdfs:label ?value
              FILTER REGEX(?value, "Virtual Machine", "i")
            }
        }
    }
  }
你知道这里有什么问题吗？使用jdk 1.8.0 64位运行eclipse。

当我使用Jena的命令行工具运行eclipse时（在下载数据并将查询存储在
query.rq
中之后），我得到了许多结果。我不知道它们是否是你所期望的，或者你从Protégé那里得到的，因为你没有发布它们，但它不是空的，所以我认为这是你所期望的

$ sparql --version
Jena:       VERSION: 2.11.0
Jena:       BUILD_DATE: 2013-09-12T10:49:49+0100
ARQ:        VERSION: 2.11.0
ARQ:        BUILD_DATE: 2013-09-12T10:49:49+0100
RIOT:       VERSION: 2.11.0
RIOT:       BUILD_DATE: 2013-09-12T10:49:49+0100

$ sparql --query query.rq --data amazonOnDemand_fullset0.ttl 
---------------------------------------------------------------------------------------------------------------------------------------
| offering                                                                                                                            |
=======================================================================================================================================
| <http://PricingAPIAmazonOnDemandOfferings.com#m3.2xlarge_2956_TIME247806256606408linux-AmazonOnDemandInstance_TIME247806256614533>  |
| <http://PricingAPIAmazonOnDemandOfferings.com#c3.4xlarge_3132_TIME247806265310896linux-AmazonOnDemandInstance_TIME247806265318593>  |
| <http://PricingAPIAmazonOnDemandOfferings.com#i2.xlarge_3352_TIME247806280140383linux-AmazonOnDemandInstance_TIME247806280147225>   |
| <http://PricingAPIAmazonOnDemandOfferings.com#m1.xlarge_3044_TIME247806261045248linux-AmazonOnDemandInstance_TIME247806261052518>   |
| <http://PricingAPIAmazonOnDemandOfferings.com#hi1.4xlarge_3462_TIME247806285100936linux-AmazonOnDemandInstance_TIME247806285106495> |
| <http://PricingAPIAmazonOnDemandOfferings.com#m2.4xlarge_3308_TIME247806277291059linux-AmazonOnDemandInstance_TIME247806277311157>  |
| <http://PricingAPIAmazonOnDemandOfferings.com#cr1.8xlarge_3330_TIME247806279000311linux-AmazonOnDemandInstance_TIME247806279016134> |
| <http://PricingAPIAmazonOnDemandOfferings.com#i2.4xlarge_3396_TIME247806282156677linux-AmazonOnDemandInstance_TIME247806282162664>  |
| <http://PricingAPIAmazonOnDemandOfferings.com#cc2.8xlarge_3220_TIME247806271984550linux-AmazonOnDemandInstance_TIME247806271997379> |
| <http://PricingAPIAmazonOnDemandOfferings.com#m2.xlarge_3264_TIME247806274243312linux-AmazonOnDemandInstance_TIME247806274255286>   |
| <http://PricingAPIAmazonOnDemandOfferings.com#m2.2xlarge_3286_TIME247806275687432linux-AmazonOnDemandInstance_TIME247806275695557>  |
| <http://PricingAPIAmazonOnDemandOfferings.com#m1.medium_3000_TIME247806258807012linux-AmazonOnDemandInstance_TIME247806258833953>   |
| <http://PricingAPIAmazonOnDemandOfferings.com#hs1.8xlarge_3440_TIME247806284122937linux-AmazonOnDemandInstance_TIME247806284128497> |
| <http://PricingAPIAmazonOnDemandOfferings.com#m1.large_3022_TIME247806259925275linux-AmazonOnDemandInstance_TIME247806259933827>    |
| <http://PricingAPIAmazonOnDemandOfferings.com#c3.2xlarge_3110_TIME247806264234541linux-AmazonOnDemandInstance_TIME247806264242239>  |
| <http://PricingAPIAmazonOnDemandOfferings.com#i2.8xlarge_3418_TIME247806283147932linux-AmazonOnDemandInstance_TIME247806283153491>  |
| <http://PricingAPIAmazonOnDemandOfferings.com#c1.xlarge_3198_TIME247806269972105linux-AmazonOnDemandInstance_TIME247806269986217>   |
| <http://PricingAPIAmazonOnDemandOfferings.com#i2.2xlarge_3374_TIME247806281161573linux-AmazonOnDemandInstance_TIME247806281167987>  |
| <http://PricingAPIAmazonOnDemandOfferings.com#c3.8xlarge_3154_TIME247806266383402linux-AmazonOnDemandInstance_TIME247806266391099>  |
---------------------------------------------------------------------------------------------------------------------------------------

$sparql——版本
耶拿：版本：2.11.0
耶拿：建造日期：2013-09-12T10:49:49+0100
ARQ:版本：2.11.0
建造日期：2013-09-12T10:49:49+0100
RIOT:版本：2.11.0
暴动：建造日期：2013-09-12T10:49:49+0100
$sparql--query query.rq--data amazonOnDemand_fullset0.ttl
---------------------------------------------------------------------------------------------------------------------------------------
|奉献|
=======================================================================================================================================
|   |
|   |
|    |
|    |
|  |
|   |
|  |
|   |
|  |
|    |
|   |
|    |
|  |
|     |
|   |
|   |
|    |
|   |
|   |
---------------------------------------------------------------------------------------------------------------------------------------
在编辑之后，您已经提供了完整的代码，但它仍然有效。我已经下载了它，还有一份数据副本，除了更改路径名之外，我还得到了您期望的结果

import com.hp.hpl.jena.query.query；
导入com.hp.hpl.jena.query.QueryExecution；
导入com.hp.hpl.jena.query.QueryExecutionFactory；
导入com.hp.hpl.jena.query.QueryFactory；
导入com.hp.hpl.jena.query.ResultSet；
导入com.hp.hpl.jena.query.ResultSetFormatter；
导入com.hp.hpl.jena.rdf.model.model；
导入com.hp.hpl.jena.util.FileManager；
公共类Jenavsprotege和Topbraid示例{
公共静态void main（字符串[]args）{
Model data=FileManager.get（）.loadModel（“/home/taylorj/Downloads/amazonOnDemand_fullset0.ttl”，“ttl”）；
试验（数据）；
}
专用静态孔隙试验（模型）{
String q=“前缀核心：前缀价格：前缀pf:前缀rdf:前缀rdfs:前缀gr:前缀xsd:前缀cloudtaxonomy:前缀自旋：选择缩减？提供在哪里{{选择缩减？提供在哪里{？提供rdf:类型核心：服务提供。？提供核心：包括？服务。{？serv gr:QualitiveProductorServiceProperty？f。？f rdf:type cloudtaxonomy:Location。？f rdfs:label？value FILTER正则表达式（？value，'tokyo'，'i'）}UNION{？serv core:hasServiceModel？model。？model gr:QualitiveProductorServiceProperty？f。？f rdf:type cloudtaxonomy:Location。？f rdfs:label？value FILTER正则表达式（？value，'tokyo'，'i'）}}.{选择精简的产品，其中{产品rdf:类型核心：服务产品。？产品核心：包括服务{服务组：quantitativeProductOrServiceProperty cloudtaxonomy:MemorySize。？f组：hasValue？值过滤器（？value>=3.7）}联合{serv gr:quantitativeProductOrServiceProperty？f。？f rdf:type cloudtaxonomy:MemorySize。？f gr:hasValue？值过滤器（？值>=3.7）}联合{serv core:hasServiceModel？模型。？模型gr:quantitativeProductOrServiceProperty cloudtaxonomy:MemorySize。？f gr:hasValue？值过滤器（？值>=3.7）}联合{服务核心：hasServiceModel？模型。？模型gr:quantitativeProductOrServiceProperty？f。？f rdf:type cloudtaxonomy:MemorySize。？f gr:hasValue？值过滤器（？值>=3.7）}联合{serv core:hasServiceModel？模型。？模型gr:quantitativeProductOrServiceProperty？f。？f rdf:type cloudtaxonomy:MemorySize。？f gr:hasMinValue？值过滤器（？value>=3.7）}}。{选择缩减的产品，其中{提供rdf:type core:ServiceOffering。？提供核心：包括？服务。{serv gr:quantitativeProductOrServiceProperty cloudtaxonomy:DiskSize。？f gr:hasValue？值过滤器（？值>=150.0）}联合{serv gr:quantitativeProductOrServiceProperty？f。？f rdf:type cloudtaxonomy:DiskSize。？f gr:hasValue？值过滤器（？值>=150.0）}联合{服务核心：hasServiceModel？模型。？模型gr:quantitativeProductOrServiceProperty云分类法：DiskSize。？f gr:hasValue？值过滤器（？值>=150.0）}联合{服务核心：hasServiceModel？模型。？模型gr:quantitativeProductOrServiceProperty？f。？f rdf:type云分类法：DiskSize。？f gr:hasValue？值过滤器（？值>=150.0）}UNION{serv core:hasServiceModel？模型。？模型gr:quantitativeProductOrServiceProperty？f。？f rdf:type cloudtaxonomy:DiskSize。？f gr:hasMinValue？值过滤器（？value>=150.0）}}。{选择简化的产品，其中{产品rdf:type core:ServiceOffering。？产品核心：包括？服务。{？serv gr:QuastiveProductorServiceProperty？f。？f rdf:type cloudtaxonomy:Feature。？f rdfs:label？value FILTER正则表达式（？value，'Virtual Machine'，i'）}UNION{？serv core:hasServiceModel？model。？model gr:QuastiveProductorServiceProperty？f。？f rdf:type cloudtaxonomy:Feature。？f rdfs:label？value FILTER正则表达式（？值，'虚拟机'，'i'）}”；
Query=QueryFactory.create（q）；
System.out.println（query.toString（））；
QueryExecution exec=QueryExecutionFactory.create（查询，模型）；
ResultSet results=exec.execSelect（）；
ResultSetFormatter.out（System.out、结果、查询）；
exec.close（）；
}
}
输出：

前缀rdfs:
前缀pf：
前缀p

$ sparql --version
Jena:       VERSION: 2.11.0
Jena:       BUILD_DATE: 2013-09-12T10:49:49+0100
ARQ:        VERSION: 2.11.0
ARQ:        BUILD_DATE: 2013-09-12T10:49:49+0100
RIOT:       VERSION: 2.11.0
RIOT:       BUILD_DATE: 2013-09-12T10:49:49+0100

$ sparql --query query.rq --data amazonOnDemand_fullset0.ttl 
---------------------------------------------------------------------------------------------------------------------------------------
| offering                                                                                                                            |
=======================================================================================================================================
| <http://PricingAPIAmazonOnDemandOfferings.com#m3.2xlarge_2956_TIME247806256606408linux-AmazonOnDemandInstance_TIME247806256614533>  |
| <http://PricingAPIAmazonOnDemandOfferings.com#c3.4xlarge_3132_TIME247806265310896linux-AmazonOnDemandInstance_TIME247806265318593>  |
| <http://PricingAPIAmazonOnDemandOfferings.com#i2.xlarge_3352_TIME247806280140383linux-AmazonOnDemandInstance_TIME247806280147225>   |
| <http://PricingAPIAmazonOnDemandOfferings.com#m1.xlarge_3044_TIME247806261045248linux-AmazonOnDemandInstance_TIME247806261052518>   |
| <http://PricingAPIAmazonOnDemandOfferings.com#hi1.4xlarge_3462_TIME247806285100936linux-AmazonOnDemandInstance_TIME247806285106495> |
| <http://PricingAPIAmazonOnDemandOfferings.com#m2.4xlarge_3308_TIME247806277291059linux-AmazonOnDemandInstance_TIME247806277311157>  |
| <http://PricingAPIAmazonOnDemandOfferings.com#cr1.8xlarge_3330_TIME247806279000311linux-AmazonOnDemandInstance_TIME247806279016134> |
| <http://PricingAPIAmazonOnDemandOfferings.com#i2.4xlarge_3396_TIME247806282156677linux-AmazonOnDemandInstance_TIME247806282162664>  |
| <http://PricingAPIAmazonOnDemandOfferings.com#cc2.8xlarge_3220_TIME247806271984550linux-AmazonOnDemandInstance_TIME247806271997379> |
| <http://PricingAPIAmazonOnDemandOfferings.com#m2.xlarge_3264_TIME247806274243312linux-AmazonOnDemandInstance_TIME247806274255286>   |
| <http://PricingAPIAmazonOnDemandOfferings.com#m2.2xlarge_3286_TIME247806275687432linux-AmazonOnDemandInstance_TIME247806275695557>  |
| <http://PricingAPIAmazonOnDemandOfferings.com#m1.medium_3000_TIME247806258807012linux-AmazonOnDemandInstance_TIME247806258833953>   |
| <http://PricingAPIAmazonOnDemandOfferings.com#hs1.8xlarge_3440_TIME247806284122937linux-AmazonOnDemandInstance_TIME247806284128497> |
| <http://PricingAPIAmazonOnDemandOfferings.com#m1.large_3022_TIME247806259925275linux-AmazonOnDemandInstance_TIME247806259933827>    |
| <http://PricingAPIAmazonOnDemandOfferings.com#c3.2xlarge_3110_TIME247806264234541linux-AmazonOnDemandInstance_TIME247806264242239>  |
| <http://PricingAPIAmazonOnDemandOfferings.com#i2.8xlarge_3418_TIME247806283147932linux-AmazonOnDemandInstance_TIME247806283153491>  |
| <http://PricingAPIAmazonOnDemandOfferings.com#c1.xlarge_3198_TIME247806269972105linux-AmazonOnDemandInstance_TIME247806269986217>   |
| <http://PricingAPIAmazonOnDemandOfferings.com#i2.2xlarge_3374_TIME247806281161573linux-AmazonOnDemandInstance_TIME247806281167987>  |
| <http://PricingAPIAmazonOnDemandOfferings.com#c3.8xlarge_3154_TIME247806266383402linux-AmazonOnDemandInstance_TIME247806266391099>  |
---------------------------------------------------------------------------------------------------------------------------------------