Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Towards linked open services and processes
FIS'10 Proceedings of the Third future internet conference on Future internet
Investigating Web APIs on the World Wide Web
ECOWS '10 Proceedings of the 2010 Eighth IEEE European Conference on Web Services
Building Mashups by Demonstration
ACM Transactions on the Web (TWEB)
Integrating linked data and services with linked data services
ESWC'11 Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I
Functional descriptions as the bridge between hypermedia APIs and the Semantic Web
Proceedings of the Third International Workshop on RESTful Design
Semi-automatically mapping structured sources into the semantic web
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
A framework for self-descriptive RESTful services
Proceedings of the 22nd international conference on World Wide Web companion
Data-Fu: a language and an interpreter for interaction with read/write linked data
Proceedings of the 22nd international conference on World Wide Web
A semantic approach to retrieving, linking, and integrating heterogeneous geospatial data
Joint Proceedings of the Workshop on AI Problems and Approaches for Intelligent Environments and Workshop on Semantic Cities
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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 define a linked service from an online service, which includes the specifications 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 refine interactively. Finally, the system saves a service specification 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.