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  1. Journal on Data Semantics
  2. Journal on Data Semantics : Volume 1
  3. Journal on Data Semantics : Volume 1, Issue 1, May 2012
  4. A Semantic Foundation for Provenance Management
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Journal on Data Semantics : Volume 6
Journal on Data Semantics : Volume 5
Journal on Data Semantics : Volume 4
Journal on Data Semantics : Volume 3
Journal on Data Semantics : Volume 2
Journal on Data Semantics : Volume 1
Journal on Data Semantics : Volume 1, Issue 4, December 2012
Journal on Data Semantics : Volume 1, Issue 3, September 2012
Journal on Data Semantics : Volume 1, Issue 2, August 2012
Journal on Data Semantics : Volume 1, Issue 1, May 2012
Data Semantics on the Web
A Semantic Foundation for Provenance Management
Scientific Workflow, Provenance, and Data Modeling Challenges and Approaches
On Modeling and Querying Concept Evolution
A Facet-Based Methodology for the Construction of a Large-Scale Geospatial Ontology

A Semantic Foundation for Provenance Management

Content Provider Springer Nature Link
Author Ram, Sudha Liu, Jun
Copyright Year 2012
Abstract Provenance is a term used to describe the lineage, history, or origin of an object. While provenance originated from the art world, it is now becoming increasingly important in the context of digital objects on the World Wide Web. Large scale scientific collaborations and social media platforms on the web have enabled production and sharing of a variety of digital objects on the web. With the proliferation and sharing of such objects, which include documents, pictures, videos, and more, questions such as “where did this object come from?”, “who else is using this object?” and “for what purpose was it generated?” are becoming increasingly common. To ensure that digital objects from different sources can be trusted and used appropriately, it is imperative that the provenance of the digital objects be tracked, recorded, and made available to its users. In this work, we attempt to provide a foundation for understanding provenance, clearly define the semantics of provenance, distinguish provenance from “uses or application” of provenance, suggest a mechanism for managing provenance, and provide important directions for research in provenance management.
Starting Page 11
Ending Page 17
Page Count 7
File Format PDF
ISSN 18612032
Journal Journal on Data Semantics
Volume Number 1
Issue Number 1
e-ISSN 18612040
Language English
Publisher Springer-Verlag
Publisher Date 2012-03-28
Publisher Place Berlin, Heidelberg
Access Restriction Subscribed
Subject Keyword Semantics Digital data provenance Information Storage and Retrieval Database Management Data lineage Data curation Artificial Intelligence (incl. Robotics) Business Information Systems Information Systems Applications (incl. Internet) Semantic Web technologies Provenance management
Content Type Text
Resource Type Article
Subject Artificial Intelligence Computer Networks and Communications Information Systems
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