Managing the lifecycle of RDF datasets is a cumbersome activity. Substantial efforts are spent on reproducing datasets over time. But, these efforts can be reduced by a data management workflow framework. We present the Linked Data Workflow Project ontology as the knowledge model for such a workflow framework. The ontology is centered on the Plan, Method, and Execution classes, facilitating the description of: i) the methodological process that guides the lifecycle of RDF datasets, ii) the complete plan of the RDF dataset production workflow, and iii) the executions of workflow. As a result, our approach enables the reproducibility and repeatability of Linked Data processing steps over time.
%0 Conference Paper
%1 rautenberg-2016
%A Rautenberg, Sandro
%A Ermilov, Ivan
%A Marx, Edgard
%A Auer, Sören
%B ONTOBRAS 2016
%D 2016
%K 2016 SIMBA auer group_aksw iermilov marx rautenberg simba
%T LDWPO - A Lightweight Ontology for Linked Data Management
%U http://svn.aksw.org/papers/2016/ONTOBRAS_LDWPO/public.pdf
%X Managing the lifecycle of RDF datasets is a cumbersome activity. Substantial efforts are spent on reproducing datasets over time. But, these efforts can be reduced by a data management workflow framework. We present the Linked Data Workflow Project ontology as the knowledge model for such a workflow framework. The ontology is centered on the Plan, Method, and Execution classes, facilitating the description of: i) the methodological process that guides the lifecycle of RDF datasets, ii) the complete plan of the RDF dataset production workflow, and iii) the executions of workflow. As a result, our approach enables the reproducibility and repeatability of Linked Data processing steps over time.
@inproceedings{rautenberg-2016,
abstract = {Managing the lifecycle of RDF datasets is a cumbersome activity. Substantial efforts are spent on reproducing datasets over time. But, these efforts can be reduced by a data management workflow framework. We present the Linked Data Workflow Project ontology as the knowledge model for such a workflow framework. The ontology is centered on the Plan, Method, and Execution classes, facilitating the description of: i) the methodological process that guides the lifecycle of RDF datasets, ii) the complete plan of the RDF dataset production workflow, and iii) the executions of workflow. As a result, our approach enables the reproducibility and repeatability of Linked Data processing steps over time.},
added-at = {2024-06-18T09:45:40.000+0200},
author = {Rautenberg, Sandro and Ermilov, Ivan and Marx, Edgard and Auer, S\"oren},
bdsk-url-1 = {http://svn.aksw.org/papers/2015/SEMANTICS_LDWPO/public.pdf},
biburl = {https://www.bibsonomy.org/bibtex/261d28002a2bcb35cafc52990d7756a1f/aksw},
booktitle = {ONTOBRAS 2016},
interhash = {4d146df0129317cf0028f9a110410eeb},
intrahash = {61d28002a2bcb35cafc52990d7756a1f},
keywords = {2016 SIMBA auer group_aksw iermilov marx rautenberg simba},
owner = {ivan},
timestamp = {2024-06-18T09:45:40.000+0200},
title = {LDWPO - A Lightweight Ontology for Linked Data Management},
url = {http://svn.aksw.org/papers/2016/ONTOBRAS_LDWPO/public.pdf},
year = 2016
}