TY - GEN
T1 - Provenance management in BioSciences
AU - Ram, Sudha
AU - Liu, Jun
N1 - Funding Information:
This research is supported in part by research grants from the National Science Foundation Plant Cyberinfrastructure Program (#EF-0735191) and from the Science Foundation of Arizona.
PY - 2010
Y1 - 2010
N2 - Data provenance is becoming increasingly important for biosciences with the advent of large-scale collaborative environments such as the iPlant collaborative, where scientists collaborate by using data that they themselves did not generate. To facilitate the widespread use and sharing of provenance, ontologies of provenance need to be developed to enable the capture and standardized representation of provenance for biosciences. Working with researchers from the iPlant Tree of Life (iPToL) Grand Challenge Project, we developed a domain ontology of provenance for phylogenetic analysis. Relying on the conceptual graph formalism, we describe the process of developing the provenance ontology based on the W7 model, a generic ontology of data provenance. This domain ontology provides a structured model for harvesting, storing and querying provenance. We also illustrate how the harvested data provenance based on our ontology can be used for different purposes.
AB - Data provenance is becoming increasingly important for biosciences with the advent of large-scale collaborative environments such as the iPlant collaborative, where scientists collaborate by using data that they themselves did not generate. To facilitate the widespread use and sharing of provenance, ontologies of provenance need to be developed to enable the capture and standardized representation of provenance for biosciences. Working with researchers from the iPlant Tree of Life (iPToL) Grand Challenge Project, we developed a domain ontology of provenance for phylogenetic analysis. Relying on the conceptual graph formalism, we describe the process of developing the provenance ontology based on the W7 model, a generic ontology of data provenance. This domain ontology provides a structured model for harvesting, storing and querying provenance. We also illustrate how the harvested data provenance based on our ontology can be used for different purposes.
KW - Provenance
KW - W7 model
KW - conceptual graphs
KW - tree of life
UR - http://www.scopus.com/inward/record.url?scp=78649951773&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78649951773&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-16385-2_8
DO - 10.1007/978-3-642-16385-2_8
M3 - Conference contribution
AN - SCOPUS:78649951773
SN - 364216384X
SN - 9783642163845
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 54
EP - 64
BT - Advances in Conceptual Modeling - Applications and Challenges, ER 2010 Workshops ACM-L, CMLSA, CMS, DE@ER, FP-UML, SeCoGIS, WISM, Proceedings
T2 - 29th International Conference on Conceptual Modeling, ER 2010
Y2 - 1 November 2010 through 4 November 2010
ER -