关联数据的消费技术及实现

Technologies and Implementation of Consuming Linked Data

从关联数据技术实现的角度看,发布和消费是构建关联数据平台和实施关联数据应用应该考虑到的两个重要方面。关联数据的消费技术涉及到数据的访问、获取、发现、查询、交换、传输、处理和利用。而消费的方式和效果取决于关联数据源所提供的消费接口。通过梳理和总结关联数据消费技术的各个方面,调研DBPedia、Freebase、VIAF等大型的关联数据集和<sameAs.org>、SWSE、Sindice、Swoogle、Falcons等流行的语义搜索引擎所提供的数据消费接口,总结目前关联数据消费接口的类型以及相应的使用方式,分析其适用范围、优缺点等,以期为关联数据发布方和消费方提供技术参考。

Publishing and consuming are both important for Linked Data implementation. The technologies of consuming Linked Data involve accessing, discovering, querying, exchanging, transmitting, and processing. How to consume Linked Data depends on data consuming interface provided by Linked Data source. Survey has been conducted for the data consuming interface provided by the Linked Data sets such as DBPedia, Freebase, Vial, etc.and the semantic search engine such as （sameAs. org）, SWSE, Sindice, Swoogle, Falcons, etc. , the strengths and weaknesses of every type of interface are also analyzed.