ADEQUATe: Unlock the Linked Data Treasure

Schematic representation of data as larger and smaller bubbles

ADEQUATE: Unlock the Linked Data Treasure

Semantic technologies link data sources and make them accessible in the right context through rich metadata layers. When knowledge domains are modelled, they can be reused and combined with complementary resources.

visit the project website

“Between 2016 and 2020, the market size of Open Data is expected to increase by 36.9%, to a value of 75.7 bn EUR in 2020.”
— European Commission (2015)

How to Make Open Data Sources More Valuable and Frequently Reused?

Since 2009, a continuously growing number of European countries and the US are providing Open Data portals. Also private and specialized open data aggregators are gaining pace. However, a big variety of data formats and lack of information on how often and by whom data is updated makes the reuse of open data difficult. Currently there are no tools that would automate the dynamic data exchange between data aggregators and applications that make use of such data repositories.

What Are the Expected Research Results?

The research consortium will increase the commercial value of open data by assessing and improving data and metadata quality. The outcome will be directly applied to the two leading Austrian Open Data Portals - data.gv.at and Open Data Portal. The results shall establish a benchmark that gets adopted by other Open Data portals. This will lead to a more standardized and processable data landscape and truly unlock the economic potential of Open Data.

Further Developments at Semantic Web Company

PoolParty Semantic Suite provides a data library that enables users to enrich their knowledge models. When Open Data Portals apply common quality standards, attributes of tabular data are well specified and robust data pipelines exist. Additionally, more suitable data sets can be included in the software. Common standards also allow to monitor data freshness. The developed data quality improvement mechanisms in ADEQUATe will be directly applied to the PoolParty Semantic Integrator, which processes data from various data sources, no matter if open or closed.

Project title

ADEQUATe

Project website

https://www.adequate.at/

Duration

3 years

Methods Applied

  • Crowdsourcing
  • Linked Data
  • Machine Learning

Project sponsors

ADEQUATe is funded by the Austrian Federal Ministry of Transport, Innovation and Technology (BMVIT) under the program “ICT of the Future”.

The Linked Data Book

Our research team has written a book about the benefits of Linked Open Data for decision makers.

Free Download