Disseminating provenance data to users can be challenging because of its technical content, and its potential scale and complexity. Textual narrative and supporting images can be used to improve a user’s understanding of provenance data. This early work aims to support the exploration of provenance data by allowing users to query provenance data with a provenance subject (either an entity, activity or agent) recorded in it.
CITATION STYLE
Packer, H. S., & Moreau, L. (2015). Sentence templating for explaining provenance. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8628, pp. 278–280). Springer Verlag. https://doi.org/10.1007/978-3-319-16462-5_33
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