While the Semantic Web has demonstrated considerable value for collaborative contributions to data, adoption in many mission-critical environments requires data to conform to specified patterns. This need for interface defintions spans domains. For instance, validation in a banking context shares many requirements with quality assurance of linked clinical data. Systems like Linked Open Data, which don't have formal interface specifications, share these validation needs.
Development of standards and tools to meet these requirements can greatly increase the utility and ubiquity of Semantic Web data.
Most data representation languages used in conventional settings offer some sort of input validation, ranging from parsing grammars for domain-specific languages to XML Schema, RelaxNG or Schematron for XML structures. While the distributed nature of RDF affects the notions of "validity", tool chains need to be established to publish interface definitions and ensure data integrity.
This workshop combines discussion of use cases for data validation/interface defintion on the Semantic Web with development of technologies to enable those use cases.