This talk provides an overview of my work towards enabling Data DJs. That is enabling users to create, remix, record, and share their data analyses as easily as DJs make and share mixes. The talk touches on a variety of topics including linked data, scientific workflows, provenance, enterprise mashups and Facebook. It draws these topics into a unified research framework and discusses future research directions.
Paul Groth is a postdoctoral researcher in the Knowledege Representation and Reasoning Group in the Artificial Intelligence Department at the Vrije Universiteit Amsterdam. His research focuses on provenance, knowledge sharing, and multi-institutional distributed systems in the context of e-Science. Paul has previously done research in the Information Sciences Institute at the University of Southern California, the Fraunhofer Institute for Manufacturing Engineering and Automation and the Florida Institute for Human and Machine Cognition. He holds a PhD in computer science from the University of Southampton.