Add to ORKGIn this paper we describe a tool designed to support crowdsourcing a-posteori provenance information about the datasets used in research publications. It generates PROV data both to capture the data citation graphs via an extension to the PROV Data Model, and the crowdsourcing process via prov:bundles.<br/
Provenance information is inherently affected by the method of its capture. Different capture mechan...
Provenance network analytics is a novel data analytics approach that helps infer properties of data,...
Provenance network analytics is a novel data analytics approach that helps infer properties of data,...
© 2015 Laura Drăgan, Markus Luczak-Rösch, Bettina Berendt, Elena Simperl, Heather Packer and Luc Mor...
In this paper we present opportunities to leverage crowdsourcing for a-posteriori capturing dataset ...
Crowdsourcing has proved to be a feasible way of harnessing human computation for solving complex pr...
Understanding the dynamics of a crowdsourcing application and controlling the quality of the data it...
ProvStore is the first online public provenance repository supporting the new PROV standards by W3C....
The provenance of data provides detailed information about the origin of that data. That includes in...
Provenance information is inherently affected by the method of its capture. Different capture mechan...
In general, the task of generating provenance is still tedious, and the community still lacks tools ...
Submitted to EDDI13 5th Annual European DDI User Conference December 2013, Paris, FranceProvenance...
Provenance generated by different workflow systems is generally expressed using different formats. T...
This paper presents Provenance Explorer, a secure provenance visualization tool, designed to dynamic...
Provenance information is inherently affected by the method of its capture. Different capture mechan...
Provenance information is inherently affected by the method of its capture. Different capture mechan...
Provenance network analytics is a novel data analytics approach that helps infer properties of data,...
Provenance network analytics is a novel data analytics approach that helps infer properties of data,...
© 2015 Laura Drăgan, Markus Luczak-Rösch, Bettina Berendt, Elena Simperl, Heather Packer and Luc Mor...
In this paper we present opportunities to leverage crowdsourcing for a-posteriori capturing dataset ...
Crowdsourcing has proved to be a feasible way of harnessing human computation for solving complex pr...
Understanding the dynamics of a crowdsourcing application and controlling the quality of the data it...
ProvStore is the first online public provenance repository supporting the new PROV standards by W3C....
The provenance of data provides detailed information about the origin of that data. That includes in...
Provenance information is inherently affected by the method of its capture. Different capture mechan...
In general, the task of generating provenance is still tedious, and the community still lacks tools ...
Submitted to EDDI13 5th Annual European DDI User Conference December 2013, Paris, FranceProvenance...
Provenance generated by different workflow systems is generally expressed using different formats. T...
This paper presents Provenance Explorer, a secure provenance visualization tool, designed to dynamic...
Provenance information is inherently affected by the method of its capture. Different capture mechan...
Provenance information is inherently affected by the method of its capture. Different capture mechan...
Provenance network analytics is a novel data analytics approach that helps infer properties of data,...
Provenance network analytics is a novel data analytics approach that helps infer properties of data,...