Making the Semantic Web Easier to Use for Sharing Science Data

Semantic Web technologies have the potential to support science by providing a web-based data representation that ties data to semantics models, facilitates data sharing and linking, supports provenance annotations, and can exploit a large and growing collection of background knowledge on the web. While the concepts and technologies are mature and supported by sound standards, their use within scientific communities remains relatively low. This talk will discuss current research aimed at reducing some of the barriers to wider adoption and use by both professional and citizen scientists. It will describe approaches to publishing and sharing scientific data on social media systems, techniques enabling scientists to generate Semantic Web data by using familiar software tools, and new approaches to querying large collections of Semantic Web data.