Provenance and Annotation of Data

Session 1: Keynotes.- Automatic Generation of Workflow Provenance.- Managing Rapidly-Evolving Scientific Workflows.- Session 2: Applications.- Virtual Logbooks and Collaboration in Science and Software Development.- Applying Provenance in Distributed Organ Transplant Management.- Provenance Implementation in a Scientific Simulation Environment.- Towards Low Overhead Provenance Tracking in Near Real-Time Stream Filtering.- Enabling Provenance on Large Scale e-Science Applications.- Session 4: Semantics 1.- Harvesting RDF Triples.- Mapping Physical Formats to Logical Models to Extract Data and Metadata: The Defuddle Parsing Engine.- Annotation and Provenance Tracking in Semantic Web Photo Libraries.- Metadata Catalogs with Semantic Representations.- Combining Provenance with Trust in Social Networks for Semantic Web Content Filtering.- Session 5: Workflow.- Recording Actor State in Scientific Workflows.- Provenance Collection Support in the Kepler Scientific Workflow System.- A Model for User-Oriented Data Provenance in Pipelined Scientific Workflows.- Applying the Virtual Data Provenance Model.- Session 6: Models of Provenance, Annotations and Processes.- A Provenance Model for Manually Curated Data.- Issues in Automatic Provenance Collection.- Electronically Querying for the Provenance of Entities.- AstroDAS: Sharing Assertions Across Astronomy Catalogues Through Distributed Annotation.- Session 8: Systems.- Security Issues in a SOA-Based Provenance System.- Implementing a Secure Annotation Service.- Performance Evaluation of the Karma Provenance Framework for Scientific Workflows.- Exploring Provenance in a Distributed Job Execution System.- gLite Job Provenance.- Session 9: Semantics 2.- An Identity Crisis in the Life Sciences.- CombeChem: A Case Study in Provenance and Annotation Using the Semantic Web.- Principles of High Quality Documentation for Provenance: A Philosophical Discussion.