Ontotext Plays Key Role in euBusinessGraph Project to integrate, harmonize and publish data about European companies

euBusinessGraph

Sofia, 23 Jan 2017

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. The project started on 1 January 2017 and will continue until 30 June 2019.

Alongside firms and organizations from the UK, Italy, Norway and Germany, Ontotext is contributing its experience and expertise to the project’s main objective to improve company and public sector efficiency and competitiveness by integrating and publishing data related to European companies. The project will provide language-independent identifiers, relevant corporate events in various languages, multilingual annotation services, cross-border data coverage, and reduced cost for accessing and reusing data.

As an expert in semantic technology and graph databases, Ontotext will be actively working to develop, run and host the euBusinessGraph Marketplace and Services based on Ontotext’s cloud-based text analytics and metadata management platform S4. This process will involve two main tasks:

  • Provide a reliable hosting service for the business graph
  • Ensure the availability of a data brokerage system in the form of a data marketplace where data that are part of the business graph can be provisioned and accessed.

Apart from the euBusinessGraph Marketplace and Services, Ontotext will also take part in ontology engineering and semantic data modeling, using its expertise with large organization databases such as Global Legal Entity Identifier and Dun & Bradstreet. These activities are also focused on two main tasks:

  • Create a System of Identifiers for Corporate-related Data and Entities: support linking data between entities in different countries and across multilingual barriers, and will serve as the core mechanism for linking data for the business cases, and the creation of the business graph.
  • Develop Agreed and Shared Data Models (Ontologies and Vocabularies): analyze and prepare relevant multilingual ontologies and vocabularies related to company data, which can be used across the business cases.

Learn more about Ontotext’s role and explore our S4 services for on-demand text analytics and metadata management in the cloud to start turning data into knowledge!

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