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» Why and Where: A Characterization of Data Provenance
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ICDT
2001
ACM
124views Database» more  ICDT 2001»
13 years 9 months ago
Why and Where: A Characterization of Data Provenance
Withthe proliferation of database views and curated databases, the issue of data provenance where a piece of data came from and the process by which it arrived in the database is b...
Peter Buneman, Sanjeev Khanna, Wang Chiew Tan
AGP
2010
IEEE
13 years 8 months ago
Agents, Multi-Agent Systems and Declarative Programming: What, When, Where, Why, Who, How?
This chapter tackles the relation between declarative languages and multi-agent systems by following the dictates of the five Ws (and one H) that characterize investigations. The ...
Matteo Baldoni, Cristina Baroglio, Viviana Mascard...
SEMWEB
2009
Springer
13 years 9 months ago
A New Perspective on Semantics of Data Provenance
: Data Provenance refers to the “origin”, “lineage”, and “source” of data. In this work, we examine provenance from a semantics perspective and present the W7 model, an...
Sudha Ram, Jun Liu
ER
2006
Springer
96views Database» more  ER 2006»
13 years 8 months ago
Understanding the Semantics of Data Provenance to Support Active Conceptual Modeling
: 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, proce...
Sudha Ram, Jun Liu
FAST
2009
13 years 2 months ago
A Framework for Fine-grained Data Integration and Curation, with Provenance, in a Dataspace
Some tasks in a dataspace (a loose collection of heterogeneous data sources) require integration of fine-grained data from diverse sources. This work is often done by end users kn...
David W. Archer, Lois M. L. Delcambre, David Maier