LODFlow: Workflow Management System for Linked Data Processing
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The document discusses the LODFlow, a workflow management system designed for linked data processing, highlighting issues in creating and maintaining linked data datasets and presenting LODFlow as a systematic solution to enhance efficiency, reusability, and repeatability. It details a specific use case involving the Qualis classification for bibliometric studies, illustrating how LODFlow helps transform data into a more usable and linked format. The document concludes with future directions for LODFlow, including integration with existing systems and improvements to the workflow ontology.
LODFlow: Workflow Management System for Linked Data Processing
- 1. LODFlow Workflow Management System for Linked Data Processing Sandro Rautenberg, Ivan Ermilov, Edgard Marx, Sören Auer, and Axel-Cyrille N. Ngomo
- 2. Agenda ● Introduction ● Linked Data Workflow Management ● LODFlow: LD Workflow Management System ● LODFlow: Use Cases ● Related Work ● Conclusion and Future Work
- 3. Intro: A Bird’s Eye View on The Problem Creation and Maintenance of LD Datasets manual workflows applying scripts cumbersome time- consuming error- prone requiring skills
- 4. Linked Data Workflow Management supported by a systematic way be component- oriented enabling the reuse of process facilitating the resource provenance and reproducibility ensuring the correctness supporting the evolution Intro: Solution Outline
- 5. Linked Data Workflow Documentation Linked Data Workflow Repeatability Linked Data Workflow Management System Requirements Linked Data Workflow Planning Linked Data Workflow Execution Linked Data Workflow Reusability
- 6. LODFlow Benefits: ● Explicitness ● Reusability ● Repeatability ● Efficiency ● Ease to use
- 7. LODFlow: LDWPO ontology (abstract) The Linked Data Workflow Knowledge Model and Knowledge Base
- 9. Qualis: LODFlow Use Case indirect scores for periodical papers, according 48 knowledge fields. http://qualis.capes.gov.br/webqualis/publico/pesquisaPublicaClassificacao.seam?conversationPropagation=begin use in bibliometric and scientometric studies and for ranking post- graduate programs, research proposals, or individual research scholarships.
- 10. Qualis (cont.) ● Problem: ○ Data available only as 1 Star Data ○ Only the current version is available ○ Data is not linked to other datasets ● Solution: ○ Extracted the data from the web interface (10 years) ○ Converted Qualis to a 5-star dataset ○ Interlinked it to the DBpedia knowledge base
- 11. Qualis: Workflow ● Create a plan for LD project ○ Planning the maintenance of LD datasets ○ Managing the lifecycle of resources ● Execute a plan ○ Maintaining the provenance and repeatability information ○ Producing the resources
- 13. Qualis: Workflow Implementation Create a plan for LDProject
- 15. Qualis: Results ● Were executed over 10 years ● LODFlow fulfills the requirements
- 16. Related work ● Languages such as Business Process Execution Language are adopted in technologies ● Scientific Workflow Management Systems, such as Apache Taverna and Kepler were developed
- 17. Conclusion ● Automatization of processing LD workflows ● Preserving provenance information on (re) producing LD datasets ● Showing the benefits of explicitness, reusability, repeatability and efficiency ● Applicable in the context of the LODStack and LD Lifecycle.
- 18. Future work: Integration with LODStack Developing a tool to integrate LODFlow to the LODStack. Improving the LDWPO with Method concepts
- 19. Future work: New Use Cases research group extracted from a transparency portal Qualis classification set of papers extracted from Lattes CV
- 20. Thank you for your attention! srautenberg@unicentro.br sandro.rautenberg@gmail.com We acknowledge support from CAPES/Brazil Agency as well as BMWi SAKE project.