Posts Tagged ‘Michele Barbera’

Dandelion’s New Bloom: A Family Of Semantic Text Analysis APIs

rsz_dandyDandelion, the service from SpazioDati whose goal is to delivering linked and enriched data for apps, has just recently introduced a new suite of products related to semantic text analysis.

Its dataTXT family of semantic text analysis APIs includes dataTXT-NEX, a named entity recognition API that links entities in the input sentence with Wikipedia and DBpedia and, in turn, with the Linked Open Data cloud and dataTXT-SIM, an experimental semantic similarity API that computes the semantic distance between two short sentences. TXT-CL (now in beta) is a categorization service that classifies short sentences into user-defined categories, says SpazioDati.CEO Michele Barbera.

“The advantage of the dataTXT family compared to existing text analysis’ tools is that dataTXT relies neither on machine learning nor NLP techniques,” says Barbera. “Rather it relies entirely on the topology of our underlying knowledge graph to analyze the text.” Dandelion’s knowledge graph merges together several Open Community Data sources (such as DBpedia) and private data collected and curated by SpazioDati. It’s still in private beta and not yet publicly accessible, though plans are to gradually open up portions of the graph in the future via the service’s upcoming Datagem APIs, “so that developers will be able to access the same underlying structured data by linking their own content with dataTXT APIs or by directly querying the graph with the Datagem APIs; both of them will return the same resource identifiers,” Barbera says. (See the Semantic Web Blog’s initial coverage of Dandelion here, including additional discussion of its knowledge graph.)

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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