We live in an era of ever-increasing abundance of data. To cope with the information overload we suffer from every single day,\r\nmore sophisticated methods are required to access, manipulate, and analyze these humongous amounts of data. By embracing\r\nthe heterogeneity, which is unavoidable at such a scale, and accepting the fact that the data quality and meaning are fuzzy, more\r\nadaptable, flexible, and extensible systems can be built. RESTful services combined with Semantic Web technologies could prove\r\nto be a viable path to achieve that. Their combination allows data integration on an unprecedented scale and solves some of the\r\nproblems Web developers are continuously struggling with. This paper introduces a novel approach to create machine-readable\r\ndescriptions for RESTful services as a first step towards this ambitious goal. It also shows how these descriptions along with an\r\nalgorithm to translate SPARQL queries to HTTP requests can be used to integrate RESTful services into a global read-write Web\r\nof Data.
Loading....