Sandro Rautenberg, Ivan Ermilov, Edgard Marx, Soeren Auer, Axel-Cyrille N. Ngomo. LODFlow: Workflow Management System for Linked Data Processing presentation for SEMANTiCS'2015 conference.
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LODFlow: Workflow Management System for Linked Data Processing
1. LODFlow
Workflow Management System for Linked
Data Processing
Sandro Rautenberg, Ivan Ermilov,
Edgard Marx, S?ren 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
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
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.