Architectural styles and the design of network-based software architectures
Architectural styles and the design of network-based software architectures
A Note on Distributed Computing
A Note on Distributed Computing
DEXA '06 Proceedings of the 17th International Conference on Database and Expert Systems Applications
SA-REST and (S)mashups: Adding Semantics to RESTful Services
ICSC '07 Proceedings of the International Conference on Semantic Computing
Applied Ontology
hRESTS: An HTML Microformat for Describing RESTful Web Services
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Triplify: light-weight linked data publication from relational databases
Proceedings of the 18th international conference on World wide web
Learning highly structured semantic repositories from relational databases: the RDBToOnto tool
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Semantic description of OData services
Proceedings of the Fifth Workshop on Semantic Web Information Management
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We live in an era of ever-increasing abundance of data. To cope with the information overload we suffer from every single day, more sophisticated methods are required to access, manipulate, and analyze these humongous amounts of data. By embracing the heterogeneity, which is unavoidable at such a scale, and accepting the fact that the data quality and meaning are fuzzy, more adaptable, flexible, and extensible systems can be built. RESTful services combined with Semantic Web technologies could prove to be a viable path to achieve that. Their combination allows data integration on an unprecedented scale and solves some of the problems Web developers are continuously struggling with. This paper introduces a novel approach to create machine-readable descriptions for RESTful services as a first step towards this ambitious goal. It also shows how these descriptions along with an algorithm to translate SPARQL queries to HTTP requests can be used to integrate RESTful services into a global read-write Web of Data.