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When seven-year-old Evie Weiss discovers a strange, sickly boy in her otherwise familiar forest, she has no idea what it holds for her world. He is a dark angel, one of a race of humanoid beings that feed on humanity and tear Evie's world down around her. Years later, as humanity mounts a counter-attack against the dark angels, Evie remembers the boy in the forest and finds herself torn between her loyalty to her own people and feelings of compassion for these strange creatures that first captivated her as a child. It is the quest of one girl to unite two worlds so separated by war, but how can she close the gap between two races so determined to hate each other?
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The 7 revised full papers, 11 revised medium-length papers, 6 revised short, and 7 demo papers presented together with 10 poster/abstract papers describing late-breaking work were carefully reviewed and selected from numerous submissions. Provenance has been recognized to be important in a wide range of areas including databases, workflows, knowledge representation and reasoning, and digital libraries. Thus, many disciplines have proposed a wide range of provenance models, techniques, and infrastructure for encoding and using provenance. The papers investigate many facets of data provenance, process documentation, data derivation, and data annotation.