Posts Tagged ‘SpazioDati’

SpazioDati Raises $1.8M Series A Investment from Cerved Group

spazioTrento, Italy, March 31 2014: Big Data and Semantic technology startup SpazioDati, with offices in Trento and Pisa, Italy, has raised a Series A investment from Cerved Group S. p. A.

The funding, which amounts to $1,8M will expand SpazioDati’s technology team and improve the capacity of  its Knowledge Graph APIs and Semantic Text analysis APIs––both technologies available on SpazioDati’s data marketplace, dandelion.eu Read more

Dandelion Geo And Linked Data Marketplace Private Beta On The Way

This week Dandelion, which bills itself as the one-stop shop for smart, high-quality Geo and Linked Data from trusted sources, starts its private beta. The service, which promises end users quality, normalized, linked and enriched data for their apps and reports; developers a simple API for any kind of language on any kind of platform; and corporate and government entities a way to publish and profit from their data, comes from SpazioDati.

That company is the creation of four Italian entrepreneurs – CEO Michele Barbera, president Gabriele Antonelli, partnerships director Andrea Di Benedetto, and Luca Pieraccini – who lived first-hand the frustrating experience of trying to find and leverage useful data for the custom web and mobile apps they were developing while running and working in small IT consulting companies. In an attempt to reverse the ratio of finding and cleaning data to actually building apps, says Barbera, the founders began participating in several EU-funded research projects and in the Open Data movement in Europe and Italy, including founding the non-profit Linked Open Data Italy. They also started experimenting with Semantic Web technologies.

“Open Data helps us to find valuable data and to build value-added web and mobile apps,” says Barbera. “So, let’s say that we solved partly the first problem of finding data, but not the second one, normalizing and cleaning data, since it is still very difficult to merge different data sources to put data in context.” Read more