Corporate information, including basic company firmographics (e.g., name(s), incorporation data, registered addresses, ownership and related entities), financials (e.g., balance sheets, ratings) as well as contextual data (e.g., cadastral data on corporate properties, geo data, data about directors and shareholders, public tenders data, press mentions) are the foundation that many data value chains are built on. Furthermore, this type of information contributes to the transparency and accountability of enterprises, is instrumental input to the process of marketing and sales, and plays a key role in many business interactions.
Existing initiatives to increase the interoperability and access of corporate data are mostly fragmented (across borders), limited in scope and size, and silo-ed within specific business communities with limited accessibility from outside their originating sectors and countries. As a result, collecting and aggregating data about a business entity from several public sources (be it private/public, official or non-official ones), and especially across country borders and languages is a tedious, time consuming, error prone, and very expensive operation which renders many potential business models non-feasible.
euBusinessGraph represents a key initiative to simplify and disrupt the cross-border and cross-lingual collection, reconciliation, aggregation, and provisioning and analytics of company-related data from authoritative and non-authoritative public or private sector sources, with the aim of enabling cross-sectorial innovation. By a combination of large companies, SMEs, public organizations, and technology transfer providers euBusinessGraph sets the foundations of a European cross-border and cross-lingual “business graph”, aggregating, linking, and provisioning (open and non-open) high-quality company-related data, demonstrating innovation across sectors where company-related data value chains are relevant.
In EuBusinessGraph, our lab is (on behalf of University of Milan-Bicocca) a technology provider. In particular we provide the following main contributions to EuBusinessGraph:
– ASIA, a semantic data enrichment tool, which is built on top of DataGraft and help users contribute their data into the business knowledge graph, using ASIA’s data linking intelligence; ASIA is built starting from our previous tool STAN.
– ABSTAT, a knowledge graph profiling tool that build and let users access profiles of large and complex knowledge graphs, helping users and machines understand the data and inspect their quality.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 732590.
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