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Interacting with Linked Data via Semantically Annotated Widgets
- In Proceedings of JIST
, 2011
"... Abstract. The continuous growth of the Linked Data Web brings us closer to the original vision of the Web as an interconnected network of machine-readable resources. There is, however, an essential aspect in principle still missing from this vision, i.e., the ability for the Web user to interact dir ..."
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Abstract. The continuous growth of the Linked Data Web brings us closer to the original vision of the Web as an interconnected network of machine-readable resources. There is, however, an essential aspect in principle still missing from this vision, i.e., the ability for the Web user to interact directly with the Linked Data in a read/write manner. In this paper we introduce a lifecycle and associated mechanism to enable a domain-agnostic read/write interaction with Linked Data in the context of a single data provider. Our solution uses an ontology to build a binding front-end for a given RDF model, in addition to RDFa to maintain the semantics of the resulting form/widget components. On the processing side, a RESTful Web service is provided to seamlessly manage semantic widgets and their associated data, and hence enable the read/write data interaction mechanism. The evaluation shows that the generation process presents no performance issues, while the content overhead required for the actual form-data binding is kept to a minimum. 1
IOS Press ActiveRaUL: Automatically Generated Web Interfaces for Creating RDF Data
"... Abstract. The amount of automatically generated machine-readable data on the Web has significantly increased in recent years. This is in part due to the advent of Linked Data and its publishing tools that allowed the mapping of relational data to RDF. However, the amount of semantic Web data is stil ..."
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Abstract. The amount of automatically generated machine-readable data on the Web has significantly increased in recent years. This is in part due to the advent of Linked Data and its publishing tools that allowed the mapping of relational data to RDF. However, the amount of semantic Web data is still many orders of magnitude smaller than the World-Wide-Web, and this limits semantic Web applications. One of the barriers for semantic Web novices to create machine-readable data is the lack of easy-to-use Web publishing tools that separate the schema modelling from the data creation. In this article we present ActiveRaUL, a Web form-based user interface that particularly supports users inexperienced in semantic Web technologies in creating RDF data. These Web form-based user interfaces in ActiveRaUL can be automatically generated from any arbitrary input ontology through a process described in this article. We map the graph-structured input ontology to a tree-structured Web form while still allowing the user to create RDF data typed according to the input ontology. We validate our approach of automatically generating Web interfaces from an ontology in a user study based on use cases developed by the W3C Semantic Sensor Network (SSN) Incubator group. We test the effectiveness, efficiency and the satisfaction of users in creating RDF data based on the SSN ontology with ActiveRaUL generated user interfaces compared to a state-of-the-art ontology editing tool.