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[InetBib] Linked Data quality assessment and improvement - from academia to industry


I would like to invite you the an event:

Linked Data quality assessment and improvement - from academia to industry
A satellite workshop at Semantics 2017 conference in Amsterdam.


Time: Thursday, September 14, 2017 - 09:00 to 17:30
Place: The Meervaart Theatre in Amsterdam (Room 10)

Organized by Valentine Charles and Antoine Isaac (Europeana
Foundation), Amrapali Zaveri (University of Maastricht), Wouter Beek
(VU University Amsterdam), Péter Király (GWDG Göttingen)


There is an unprecedented amount of data on the Web today. However,
this data is only as useful as its quality allows it to be. Data
Quality is an important topic in companies and organizations that use
and/or disseminate large and heterogeneous Linked Datasets. These
issues do not only arise in Linked Open Data, but also in Linked
Business Data. At the same time, researchers are coping with Linked
Data Quality issues as well, and have defined, proposed and evaluated
approaches and methodologies for assessing and improving Linked Data

Currently there is not one fool-proof method for dealing with Linked
Data Quality issues. This workshop brings together Linked Data experts
from different domains, from academia as well as industry, allowing
them to share their ideas, approaches, and lessons learnt with one

Intended audience

Everybody who has published and/or consumed Linked Data and has run
into Linked Data Quality issues.


09.00-09.15 Welcome and outline of the day
09.15-11.00 Presentations about how Linked Data Quality issues are
encountered and addressed in the following domains:

- Life Science & Health Care, Amrapali Zaveri
- FHIR modeling and standardization, Eric Prud’hommeaux
- Academic Publishing, Elsevier, Véronique Malaisé
- Cultural Heritage, Europeana, Valentine Charles and Antoine Isaac
- Wikidata validation, Andra Waagmeester
- Manufacturing, Semaku, John Walker
- Open Government, Kadaster, Rein van de Veer & Erwin Folmer
- Real Estate, Geo Phy, Dimitris Kontokostas

11.30-12.30 Panel with the presenters
13.30-14.00 The audience will also be invited to share their own
experiences with Linked Data Quality in a series of short lightning
14.00-15.00 hands-on activities around a set of existing tools that
allow data quality to be analyzed and improved. Tools include LOD
Laundromat, Loupe, and Luzzu.
15.30-16.30 Joint session with DBpedia
16.40-17.30 Wrap-up and conclusion of the workshop (recap of the needs
for future work and collaboration.)


Best regards,
Péter Király

ps. Apologies for cross-posting.

Péter Király
software developer
GWDG, Göttingen - Europeana - eXtensible Catalog - The Code4Lib Journal

Listeninformationen unter http://www.inetbib.de.