Toogdag 2017

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Richard Zijdeman

Short overview of CLARIAH WP4's tools to transpose data into Linked Data, host and query it.

Datos y análisis

CLARIAH-WP4
`datalegend`

team `datalegend`

recap:the problem

recap: our challenge
• simplify replication of research
• simplify linking datasets
• broaden connectivity of datasets

create - view - query - store & serve
Linked Data tools

creating Linked Data
QBer
CoW

viewing Linked Data
brwsr
inspector

querying Linked Data
grlc
SPARQL2git

storing & serving Linked Data
DRUID

broadening Linked Data
vocabularies
HISCO LICR

broadening Linked Data
datasets
CEDAR
CLIO-INFRA
CMGPD
HSN (demo)
HISCO foreign languages
HISCAM
HISCLASS
Thombos

so what we can do now?
Get me the data to answer this question:
What’s the inﬂuence of someone’s religion on social
position, controlled for a country’s economic
position and time?

https://github.com/CLARIAH/wp4-queries/

Next stop…
• tool evaluation
• more vocabularies and data
• user friendliness - together with WP2
• training: Posthumus workshop, June 1-2, 2017

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ronsairoathenadugay

Yilin Xia (yilinx2@illinois.edu), Shawn Bowers (bowers@gonzaga.edu), Lan Li (lanl2@illinois.edu), and Bertram Ludäscher (ludaesch@illinois.edu) Presented at IDCC-2024 in Edinburg. ABSTRACT. We propose a new approach for modeling and reconciling conflicting data cleaning actions. Such conflicts arise naturally in collaborative data curation settings where multiple experts work independently and then aim to put their efforts together to improve and accelerate data cleaning. The key idea of our approach is to model conflicting updates as a formal argumentation framework (AF). Such argumentation frameworks can be automatically analyzed and solved by translating them to a logic program PAF whose declarative semantics yield a transparent solution with many desirable properties, e.g., uncontroversial updates are accepted, unjustified ones are rejected, and the remaining ambiguities are exposed and presented to users for further analysis. After motivating the problem, we introduce our approach and illustrate it with a detailed running example introducing both well-founded and stable semantics to help understand the AF solutions. We have begun to develop open source tools and Jupyter notebooks that demonstrate the practicality of our approach. In future work we plan to develop a toolkit for conflict resolution that can be used in conjunction with OpenRefine, a popular interactive data cleaning tool.

Reconciling Conflicting Data Curation Actions: Transparency Through Argument...

Reconciling Conflicting Data Curation Actions: Transparency Through Argument...

Reconciling Conflicting Data Curation Actions: Transparency Through Argument...

Bertram Ludäscher

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Toogdag 2017

1. CLARIAH-WP4 `datalegend`

2. team `datalegend`

3. recap:the problem

4. recap: our challenge • simplify replication of research • simplify linking datasets • broaden connectivity of datasets

5. create - view - query - store & serve Linked Data tools

6. creating Linked Data QBer CoW

7. viewing Linked Data brwsr inspector

8. querying Linked Data grlc SPARQL2git

9. storing & serving Linked Data DRUID

10. broadening Linked Data vocabularies HISCO LICR

11. broadening Linked Data datasets CEDAR CLIO-INFRA CMGPD HSN (demo) HISCO foreign languages HISCAM HISCLASS Thombos

12. so what we can do now? Get me the data to answer this question: What’s the inﬂuence of someone’s religion on social position, controlled for a country’s economic position and time?

13. https://github.com/CLARIAH/wp4-queries/

14. Next stop… • tool evaluation • more vocabularies and data • user friendliness - together with WP2 • training: Posthumus workshop, June 1-2, 2017