Journal article

Representing annotation compositionality and provenance for the Semantic Web

Kevin M Livingston, Michael Bada, Lawrence E Hunter, Karin Verspoor

Journal of Biomedical Semantics | BMC | Published : 2013

Abstract

BACKGROUND: Though the annotation of digital artifacts with metadata has a long history, the bulk of that work focuses on the association of single terms or concepts to single targets. As annotation efforts expand to capture more complex information, annotations will need to be able to refer to knowledge structures formally defined in terms of more atomic knowledge structures. Existing provenance efforts in the Semantic Web domain primarily focus on tracking provenance at the level of whole triples and do not provide enough detail to track how individual triple elements of annotations were derived from triple elements of other annotations. RESULTS: We present a task- and domain-independent o..

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Grants

Awarded by Andrew W. Mellon Foundation


Awarded by NIH


Awarded by NATIONAL LIBRARY OF MEDICINE


Funding Acknowledgements

This work was supported by Award No. 2011- 02048-05 from the Andrew W. Mellon Foundation to KV. Additional support came from NIH grant 3 T15 LM00945103S1 to KML. KV receives funding through NICTA, which is funded by the Australian Government as represented by the Department of Broadband, Communications and the Digital Economy and the Australian Research Council through the ICT Centre of Excellence program.