Rapidly Integrating Services into the Linked Data Cloud

author: Mohsen Taheriyan, University of Southern California
published: Dec. 3, 2012,   recorded: November 2012,   views: 3466


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The amount of data available in the Linked Data cloud continues to grow. Yet, few services consume and produce linked data. There is recent work that allows a user to de ne a linked service from an online service, which includes the speci cations for consuming and producing linked data, but building such models is time consuming and requires specialized knowledge of RDF and SPARQL. This paper presents a new approach that allows domain experts to rapidly create semantic models of services by demonstration in an interactive web-based interface. First, the user provides examples of the service request URLs. Then, the system automatically proposes a service model the user can re ne interactively. Finally, the system saves a service speci cation using a new expressive vocabulary that includes lowering and lifting rules. This approach empowers end users to rapidly model existing services and immediately use them to consume and produce linked data.

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