@inproceedings{
 title = {Semantically annotated provenance in the Life Science Grid},
 type = {inproceedings},
 year = {2009},
 volume = {526},
 websites = {http://ceur-ws.org/Vol-526/paper_5.pdf},
 id = {48cd9409-033c-3f87-b4c8-7f84f04d6894},
 created = {2019-10-01T17:21:02.236Z},
 file_attached = {false},
 profile_id = {42d295c0-0737-38d6-8b43-508cab6ea85d},
 last_modified = {2019-10-01T17:24:15.714Z},
 read = {true},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Cao2009a},
 folder_uuids = {73f994b4-a3be-4035-a6dd-3802077ce863},
 private_publication = {false},
 abstract = {Selected semantic annotation on raw provenance data can help bridge the gap between low level provenance events (e.g., service invocations, data creation, message passing) and the high-level view that the user has of his/her investigation (e.g., data retrieval and analysis). In this initial investigation we added semantically annotated provenance to the Life Science Grid, a cyber-infrastructure framework supporting interactive data exploration and automated data analysis tools, through (i) automated data provenance collection and (ii) automated semantic enrichment of the collected provenance metadata. We use a paradigmatic life sciences use case of interactive data exploration to show that semantically annotated provenance can help users recognize the occurrence of specific patterns of investigation from an otherwise low-level sequence of elementary interaction events.},
 bibtype = {inproceedings},
 author = {Cao, B. and Plale, B. and Subramanian, G. and Missier, P. and Goble, C. and Simmhan, Y.},
 booktitle = {SWPM'09 Proceedings of the First International Conference on Semantic Web in Provenance Management}
}

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