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Sports Open Data is a project started in June 2015 created by Paolo Riva, Riccardo Quatra and Fabio Sgroi. This project was born by a need we've found when looking for statistics in Sports: no website offers its data in an Open Data way. Sports Open Data will work in this way: by providing a JSON REST API, Sports Open Data allow you to manage data for every single match we've stored on our database. And that's not over: Sports Open Data has been structured as an Open Organization: feel free to partecipate to our project or simply be part of our community to make it grow day by day. Open Data created by users for users.
Ontotext is a Bulgarian software company headquartered in Sofia. Its main domain of activity is the development of software based on the Semantic Web languages and standards, in particular RDF, OWL and SPARQL. Ontotext is best known for the Ontotext GraphDB semantic graph database engine. Another major business line is the development of enterprise knowledge management and analytics systems that involve big knowledge graphs. Those systems are developed on top of the Ontotext Platform that builds on top of GraphDB capabilities for text mining using big knowledge graphs. Typically they involve semantic data integration that results in a big knowledge graph, which combines proprietary master data with open data and commercially available datasets. These big knowledge graphs are used to provide context about the corresponding domain and semantic profiles of the key concepts and entities in it. Ontotext runs several public demonstration services: Ontotext has supported the development of the following open source software, starting with EC research projects since 2001: The company has been involved in over 30 research projects in the European Commission Framework Programmes in the domains of Semantic Web, Linked Data, Open Data and Text mining.