Ontotext will challenge teams of data enthusiasts to convert data from the Bulgarian Commercial Register into a Linked Open Data (LOD) format in order to demonstrate how LOD can reveal relationships and uncover hidden facts from unstructured data.
One of the world’s most renowned scientific publishers, Springer Nature, has selected Ontotext’s industry-leading semantic graph database GraphDB™ to power its new Linked Open Data platform.
Linking Data Is the Magic that Makes Things Interesting: An interview with Ontotext’s CEO Atanas Kiryakov
In an interview for the Bulgarian National Radio, Mr. Kiryakov shared more about what it takes to be one of the hundred outstanding challengers from Central and Eastern Europe and how Ontotext with the help of semantic technologies is transforming the landscape of information and knowledge management.
Ontotext Plays Key Role in euBusinessGraph Project to integrate, harmonize and publish data about European companies
Ontotext is playing a key role in the EU-funded euBusinessGraph cross-border project, aimed at creating a platform to integrate, harmonize and publish data about European companies.
Ontotext is proud to announce that the European Union Intellectual Property Office has just registered its GraphDB semantic graph database as a European Union Trade Mark (EUTM). The EU-wide registration of GraphDB builds upon the trade mark for Germany that Ontotext has had so far and is valid for a number of years, until August 20, 2024.
Ontotext has joined the DBpedia Association, which was founded in 2014 to support DBpedia and its global community. Ontotext has already been involved in a number of initiatives but now, being a member of the Association, it will further support DBpedia’s mission to provide important, freely accessible and reusable data for both research and commercial purposes.
The Links Analysis and Impact Evaluation Platform will visually represent automatically and dynamically analyzed entity correlations. It will draw real-time associative semantic graphs on a cognitive map of entities – much like the human brain. Based on frequency, proximity and volume of mentions rather than just prior ontological knowledge, it will focus on evaluating causal relationships between entities.
Ontotext CEO Atanas Kiryakov Makes in New Europe 100 List of Outstanding Challengers Leading Innovation
We at Ontotext are extremely proud to announce that our founder and chief executive officer Atanas Kiryakov has been included in the ‘New Europe 100 — changemakers in central and eastern Europe’ list compiled by Res Publica,…