WEOD 2018 - International Workshop on Engineering Open Data (WEOD)

More and more data is becoming available online every day coming from both the public sector and private sources. Indeed, the open data movement promises to bring to the fingertips of every citizen all the data they need, whether it is for planning their next trip or for government oversight. Most of this data is available via some kind of (semi)structured format (e.g., XML, RDF, JSON,...) which, in theory, facilitates its consumption and combination.
Unfortunately, this is still far from reality. Our society is gradually opening its data but not building the technology and infrastructure required to enable citizens to access and manipulate it. Only technical people have the skills to consume the heterogeneous data sources while the rest is forced to depend on third-party applications or companies.
The aim of this workshop is to bring together researchers, practitioners, stakeholders and users of Open Data. The focus of the workshop will be on practical engineering approaches (a) to design and develop means for promoting the consumption of Open Data and, by leveraging on well-known existing techniques (e.g., conceptual modeling, data mining, data intelligence, etc.), (b) to design and develop composition mechanism that help combining Open Data sources.
Call for Papers
WEOD solicits high quality submissions describing original and unpublished results. The topics of interest for the workshop include practical engineering approaches to design and develop means for promoting the consumption of Open Data and to design and develop composition mechanism that help combining Open Data sources.
A non-exclusive list of topics follows:
Development of techniques to promote the access to Open Data
Schema discovery and composition
API development for Open Data
End-user development to facilitate the consumption of Open Data
Existing Open Data initiatives and ecosystems
Monetization strategies for Open Data
Discussion about how to publish Open Data
Visualization techniques for Open Data
Data analytics for Open Data