关联数据映射语言:R2R 被引量：7

Linked Dataset Mapping Language:R2R

下载PDF

导出

摘要关联数据的目标是使客户端应用通过跟踪RDF链接发现新的数据源,实现对不同数据集的平滑整合,但现有方法创建的RDF链接十分有限,为此德国柏林自由大学于2010年提出面向RDF数据集映射的R2R语言。该语言包括r2r:prefixDefinitions,r2r:sourcePattern,r2r:targetPattern,r2r:transformation,r2r:mappingRef等映射属性,字符串函数、列表函数、算术函数、XPath函数及URI、文字、语言、数据类型等四种变量修饰符,提供r2r:has-Mapping,r2r:mapsTo,r2r:dependsOn,r2r:sourceDataset,r2r:targetDataset等映射元数据,映射语句遵循"资源—映射属性—三元组文字"结构及Turtle语法等规则。在总结以上语法框架的基础上通过实例阐释其用法,并与SPAR-QL语言进行比较。研究认为R2R语言在支持RDF表示、变量和修饰符定义、名称空间前缀表示、空白节点定义变量等方面与SPARQL存在语法一致性特征,在功能和句法表示方面二者存在一定差别。推广R2R语言有助于从词汇和数据集实例两个层面提升RDF链接创建能力,进而为创建关联数据集成服务环境提供支持。 The goal of linked data is to enable client application to discover new data sources by following RDF links and to smoothly integrate data from those sources. R2R language is an RDF dataset mapping language developed by Free U- niversity of Berlin to address the issue that RDF links created by existing methods are extremely limited. R2R includes mapping properties such as r2r： prefixDefinitions, r2r： sourcePattem, r2r： targetPattem, r2r： transformation, r2r： mappin- gRef; R2R functions consists of string, list, arithmetic and XPath functions; vamame modifiers includes URI, literals, lan- guage, datatype modifiers; mapping metadata includes r2r： hasMapping, r2r： mapsTo, r2r： dependsOn, r2r： sourceDataset, r2r： targetDataset; R2R syntax follows grammatical structure of “Resource-Mapping Property-Literal Value of Triples” and Turtle grammar. This paper summarizes the framework and demonstrates the usage with typical examples. Finally, we com- pare R2R with RDF-oriented query language SPARQL, and it shows that R2R shows some degree of grammatical consisten- cy with SPARQL in supporting RDF representation, defining varnames and modifiers, expressing prefixes of namespaces, and stating varnames with blank nodes. On the other hand, there are differences between R2R and SPARQL in functionality and syntax. In conclusion, R2R language will be helpful in creating more RDF links from terms of vocabularies and linked datasets, and supporting integrated services of linked data. 2 figs. 7 tabs. 21 refs.

作者陶俊孙坦刘峥

机构地区中国科学院国家科学图书馆

出处《中国图书馆学报》 CSSCI 北大核心 2012年第3期100-109,共10页 Journal of Library Science in China

关键词 R2R语言关联数据映射 RDF链接元数据 SPARQL R2R language. Linked data mapping. RDF links. Metadata. SPARQL.

分类号 G352.2 [文化科学—情报学]

引文网络
相关文献

参考文献21

1Linked Data Specifications [ OL ].[ 2011 - 09 - 29 ]. http ://linkeddata-specs. info/.
2LinkingOpenData [ OL ]. [ 2011 - 09 - 29 ]. ht-tp ://www. w3. org/wiki/SweolG/TaskForces/ CommunityProjects/LinkingOpenData.
3Mayfield J, Alexander D, Don" B, et al. Cross-docu- ment coreference resolution:A key technology for learning by reading[ C/OL]. Proceedings of AAAI Spring Symposium on Learning by Reading and Learning to Read, 2009. [ 2011-12-28 ]. http :/! terpconnect, umd. edu/- oard/pdf/sss09, pdf.
4Sleeman J, Finin T. A machine learning approach to linking FOAF instances [ C/OL ]. Association for the Advancement of Artificial Intelligence, 2010. [ 2011 - 12 - 28 ]. http ://ebiquity. umbc. edu/paper/html/id/471.
5Nikolov A, Motta E. Capturing emerging relations between schema ontologies on the Web of data[ C/ OL]. Proceedings of the 1st International Work- shop on Consuming Linked Data, ISWC 2010, Shanghai, China ,2010. [ 2011 - 12 - 28 ]. http:// ceur- ws. org,/Vo1-666/Nikol ovEtAI_COLD2010, pdf.
6Raimond Y, Sutton C, Sandler M. Automatic inter- linking of music datasets on the semantic Web[ C/ OLd. proceedings of WWW2008 workshop-Linked Data on the Web ( LDOW2008 ). [ 2011 - 12 - 28 ]. http ://sunsite. informatik, rwth-aachen, de/ Publications/CEUR-WS/Vol-369/paperl 8. pdf.
7邓兰兰,李春旺.Web数据关联创建策略研究[J].现代图书情报技术,2011(5):1-6. 被引量：8
8Volz J, Bizer C, Gaedke M, et al. Silk-A link dis- covery framework for the Web of data [ C/OL ]. Proceedings of WWW2009 workshop-Linked Data on the Web( LDOW2009 ). [ 2011 - 12 - 28 ]. ht- tp ://www4. wiwiss, fu-berlin, de/bizer/silk.
9LIMES-LInk discovery framework for MEtric Spaces [ OL]. [ 2011 - 12 - 28 ]. http ://aksw. org/Pro- jects/limes.
10LIMES-LInk discovery framework for MEtric Spaces [OL]. [ 2011 - 12 - 28 ]. http ://aksw. org/Pro- jects/limes.

二级参考文献28

1Evermann J. Theories of Meaning in Schema Matching: A Review [ J ]. Journal of Database Management, 2008, 19 ( 3 ) :55 - 82.
2Jian N, Hu W, Cheng G, et al. Falcon -AO: Aligning Ontologies with Falcon [ C ]. In : Proceedings of K - CAP Workshop on Integrating Ontologies, Banff, CA. 2005:87 -93.
3Jain P, Hitzler P, Sheth A P, et al. Ontology Alignment for Linked Open Data [ C ]. In : Proceedings of ISWC2010, Shanghai, China. 2010:401 -416.
4Elmagarmid A K, Ipeirotis P G, Verykios V S. Duplicate Record Detection: A Survey [ J ]. IEEE Transactions on Knowledge and Data Engineering, 2007,19 ( 1 ) : 1 - 16.
5Bhattaeharya I, Getoor L. Iterative Record Linkage for Cleaning and Integration [ C ]. In: Proceedings of the 9th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery( DMKD' 04) , Paris, France. 2004 : 11 - 18.
6Winkler W E, Thibaudeau Y. An Application of the Fellegi - Sunter Model of Record Linkage to the 1990 U.S. Decennial Census [ R ]. Technical Report Statistical Research Report Series RR91/09, U.S. Bureau of the Census, Washington, D.C. , 1991.
7Winkler W E. The State of Record Linkage and Current Research Problems[ R]. Technical Report Statistical Research Report Series RR99/04, U.S. Bureau of the Census, Washington, D.C. , 1999.
8Voz J, Bizer C, Gaedke M, et al. Silk - A Link Discovery Framework for the Web of Data[ C ]. In: Proceedings of the 2nd Workshop on Linked Data on the Web, Madrid, Spain. 2009.
9Nikolov A, Uren V, De Motta E, et al. Integration of Semantically Annotated Data by the KnoFuss Architecture [ C ]. In: Proceedings of the 16th International Corvference on Knowledge Engineering: Practice and Patterns ( EKA W' 08), Acitrezza, Italy. 2008:265 - 274.
10Jentzsch A, Zhao J, Hassanzadeh O, et al. Linking Open Drug Data [ C ]. In: Proceedings of the International Conference on Semantic Systems ( I - SEMANTICS' 09 ) , Graz, Austria. 2009.