Computer
Communications of the ACM - Special issue on analysis and modeling in software development
Intelligent database design using the unifying semantic model
Information and Management
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
A formal framework for business process modelling and design
Information Systems
Earth System Science Workbench: A Data Management Infrastructure for Earth Science Products
SSDBM '01 Proceedings of the 13th International Conference on Scientific and Statistical Database Management
Augmenting a Conceptual Model with Geospatiotemporal Annotations
IEEE Transactions on Knowledge and Data Engineering
A representationalist theory of intention
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
Architecture for active conceptual modeling of learning
Active conceptual modeling of learning
Provenance meets adaptive hypermedia
Proceedings of the 21st ACM conference on Hypertext and hypermedia
Provenance management in biosciences
ER'10 Proceedings of the 2010 international conference on Advances in conceptual modeling: applications and challenges
Who does what: Collaboration patterns in the wikipedia and their impact on article quality
ACM Transactions on Management Information Systems (TMIS)
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part II
Enterprise monitoring ontology
ER'11 Proceedings of the 30th international conference on Conceptual modeling
Securing data provenance in the cloud
iNetSec'11 Proceedings of the 2011 IFIP WG 11.4 international conference on Open Problems in Network Security
Automatic traceability acquisition framework
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
Capturing quality: retaining provenance for curated volunteer monitoring data
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
A provenance-based approach to evaluate data quality in eScience
International Journal of Metadata, Semantics and Ontologies
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Data Provenance refers to the lineage of data including its origin, key events that occur over the course of its lifecycle, and other details associated with data creation, processing, and archiving. We believe that tracking provenance enables users to share, discover, and reuse the data, thus streamlining collaborative activities, reducing the possibility of repeating dead ends, and facilitating learning. It also provides a mechanism to transition from static to active conceptual modeling. The primary goal of our research is to investigate the semantics or meaning of data provenance. We describe the W7 model that represents different components of provenance and their relationships to each other. We conceptualize provenance as a combination of seven interconnected elements including "what", "when", "where", "how", "who", "which" and "why". Each of these components may be used to track events that affect data during its lifetime. A homeland security example illustrates how current conceptual models can be extended to embed provenance.