Difference between revisions of "PERICLES Extraction Tool (PET)"

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m (Prwheatley moved page PET to PERICLES Extraction Tool (PET): Expanded the acronym to meet naming convention)
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== Description ==
 
== Description ==
 
The PERICLES Extraction Tool (PET) is an open source (Apache 2 licensed) Java software for the extraction of significant information from the environment where digital objects are created and modified. This information supports object use and reuse, e.g. for a better long-term preservation of data. The Tool was developed entirely for the PERICLES EU project http://www.pericles-project.eu/ by Fabio Corubolo, University of Liverpool, and Anna Eggers, Göttingen State and University Library.
 
The PERICLES Extraction Tool (PET) is an open source (Apache 2 licensed) Java software for the extraction of significant information from the environment where digital objects are created and modified. This information supports object use and reuse, e.g. for a better long-term preservation of data. The Tool was developed entirely for the PERICLES EU project http://www.pericles-project.eu/ by Fabio Corubolo, University of Liverpool, and Anna Eggers, Göttingen State and University Library.
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A more detailed description can be found in this [http://pericles-project.eu/blog/post/metadata%20extraction,%20environment%20information blog post].
  
 
== User Experiences ==
 
== User Experiences ==

Revision as of 14:21, 9 April 2015



A tool to capture contextual information in a sheer curation scenario
Homepage:https://github.com/pericles-project/pet
License:Apache 2
Platforms:Cross-platform
Language:Java


Contents

Description

The PERICLES Extraction Tool (PET) is an open source (Apache 2 licensed) Java software for the extraction of significant information from the environment where digital objects are created and modified. This information supports object use and reuse, e.g. for a better long-term preservation of data. The Tool was developed entirely for the PERICLES EU project http://www.pericles-project.eu/ by Fabio Corubolo, University of Liverpool, and Anna Eggers, Göttingen State and University Library.

A more detailed description can be found in this blog post.

User Experiences

Development Activity

Release Feed

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Contributors

Chlara (11.7%), JSF (1.5%), Wittmann (34.5%), Prwheatley (12.8%), Fabio Corubolo (39.5%)