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EU research results

CORDIS

Enabling the European Business Graph for Innovative Data Products and Services

Fact Sheet

Reporting

Results

Project information

euBusinessGraph

Grant agreement ID: 732003

Project website

Status

Closed project

Start date

1 January 2017
End date

30 June 2019

Funded under:

H2020-EU.2.1.1.

Overall budget:

€ 3 601 500
EU contribution

€ 3 099 900

Coordinated by:

SINTEF AS

Norway

Objective

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.

Field of Science

/social sciences/economics and business

/social sciences/economics and business/business and management/business model

/humanities/languages and literature/languages - general

/social sciences/sociology/governance/public services

Programme(s)

H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Topic(s)

ICT-14-2016-2017 - Big Data PPP: cross-sectorial and cross-lingual data integration and experimentation

Call for proposal

H2020-ICT-2016-1

See other projects for this call

Funding Scheme

IA - Innovation action

Coordinator

SINTEF AS

Address

Strindvegen 4
7034 Trondheim

Norway

Activity type

Research Organisations

EU Contribution

€ 611 090

Contact the organisation

Participants (12)

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OPENCORPORATES LTD

United Kingdom

EU Contribution

€ 266 175

CERVED GROUP SPA

Italy

CERVED GROUP SPA

Italy

EU Contribution

€ 126 000

SPAZIODATI SRL

Italy

EU Contribution

€ 190 312,50

EVRY NORGE AS

Norway

EU Contribution

€ 454 300

DEUTSCHE WELLE

Germany

EU Contribution

€ 334 750

ONTOTEXT AD

Bulgaria

EU Contribution

€ 130 183,83

REGISTERENHETEN I BRONNOYSUND

Norway

EU Contribution

€ 185 675

INSTITUT JOZEF STEFAN

Slovenia

EU Contribution

€ 235 625

UNIVERSITA' DEGLI STUDI DI MILANO-BICOCCA

Italy

EU Contribution

€ 204 125

STIFTELSEN SINTEF

Norway

EU Contribution

€ 358 235

SIRMA AI EAD

Bulgaria

EU Contribution

€ 3 428,67

Project information

euBusinessGraph

Grant agreement ID: 732003

Project website

Status

Closed project

Start date

1 January 2017
End date

30 June 2019

Funded under:

H2020-EU.2.1.1.

Overall budget:

€ 3 601 500
EU contribution

€ 3 099 900

Coordinated by:

SINTEF AS

Norway

Project information

euBusinessGraph

Grant agreement ID: 732003

Project website

Status

Closed project

Start date

1 January 2017
End date

30 June 2019

Funded under:

H2020-EU.2.1.1.

Overall budget:

€ 3 601 500
EU contribution

€ 3 099 900

Coordinated by:

SINTEF AS

Norway

Periodic Reporting for period 1 - euBusinessGraph (Enabling the European Business Graph for Innovative Data Products and Services)

Reporting period: 2017-01-01 to 2017-12-31

Summary of the context and overall objectives of the project

Corporate data is an ever-increasing asset in the digitalisation of business and society, and its use is extremely significant in many business sectors (e.g. business information, marketing and sales, business publishing) and societal activities (e.g. transparency and accountability). The integration of company-related data from authoritative and non-authoritative public and private sector sources is currently a difficult and expensive task that hinders cross-sectorial innovation. Addressing this problem in a coherent and unifying way represents a huge business opportunity for a wide range of companies in the data economy. euBusinessGraph aims to create the foundations of a European cross-border and cross-lingual business graph through aggregating, linking, and provisioning (open and non-open) high-quality company-related data, thereby demonstrating innovation across sectors where company-related data value chains are relevant.

Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far

The focus over the first period of euBusinessGraph was to establish a foundation for the business graph. Thereby, we have developed a fist version of the core Company Model that covers companies, company types, status, addresses, location data, classifications of economic activities, and company registrations (in official and alternate registers). Furthermore, we have developed a model to create euBusinessGraph company identifiers. To support the data onboarding, we have designed and implemented an initial release of the tools and services that are to comprise the euBusinessGraph marketplace. The tools and services support data import, data cleaning, data transformation, schema-level semantic annotation, knowledge graph vocabulary search and statistics, data hosting and queries, analytics, multi-lingual annotation, as well as other operational services. As part of the work on the business graph we have started to integrate and deploy selected datasets from OpenCorporates and SpazioDati with accordance to the euBusinessGraph Company Model.
Apart from the technical results, the project has advanced the development of six data-driven business products and services based on company-related data value chains across domains that can be replicated throughout Europe. In particular, 1) the Corporate Events Data access, which aims at integrating public corporate register data with the OpenCorporates.com database, 2) the Tender Discovery Service, which is a service for supporting companies in discovering new open tender opportunities tailored to their company profiles, 3) the Atoka+ B2B lead generation service, 4) the Customer Relationship Management Service (CRM-S), which leverages business data to establish new lines of business, 5) the Data Journalism Product Service supports journalists in dealing with complex and large volumes of company related data across the three journalistic workflows: search, monitoring and content production, and 6) the Norwegian Public Registries API service, which improves accessibility of the four (currently disconnected) major Norwegian authoritative public sector registers.

Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far)

euBusinessGraph has advanced the state of the art both in the area of technical infrastructures for the business graph and in the specific domains of the six data-driven products and services.
During the first period, the project has defined an innovative vocabulary for representing company data in the euBusinessGraph Company model. During the following period of the project, the modelling work will be further extended to cover aspects of information on company-related entities (i.e. officers and shareholders), provenance, certainty and additional dataset offerings that are not part of the model (i.e. extra information present in the source datasets and how to reach it). The work on the integration of the dataset will continue to extend the scope of the business graph provided in the euBusinessGraph Marketplace. The Marketplace services will be operationalised and deployed in a production setting, whereby the graph can be exploited and extended to include external data.
In terms of business impact, euBusinessGraph has developed an initial business model for the euBusinessGraph Marketplace. Furthermore, we have started the development of the seven innovative products/services, which have the potential to impact on both the public and private sectors. The Corporate Events Data access (CED) service has firmed up its initial assumptions, tested those in the market, and built a proof-of-concept to both understand the technical issues and to test with existing and potential clients. The Tender Discovery Service has developed the underlying processes and collected a set of datasets for open tender calls. In business terms, it has performed customer, market and competition analysis, which has resulted in the definition of data quality rules and enabling functionality for manual search. The Atoka+ service has been improved with respect to use cases and implementation of features for applying it in a wider scope than just Italy. Thereby, the service has onboarded new official data from the Business Graph about UK companies' basic firmographics and plans to further enrich the dataset with company-related content, including using web crawling. The CRM-S solution has been enriched with analytics platform infrastructure for continuously running and updating machine learning models based on data from euBusinessGraph (currently being tested in Minimum Viable Product version). For the Data Journalism Product a conceptual mock-up has been created, demonstrating technical concepts and UI-approach. This was used for user testing, confirming business value and key hypotheses derived from business models. This has been followed by the first working pilot application with three integrated data sets and additional market analysis. This service will enable journalists to easily search and monitor company data across sources and to create related content items. Finally, the BR-S service has already developed an improved solution for providing data from the Coordinating Register for Legal Entities in Norway (publicly available in March). The implementation has substantially increased capacity and now allows to search for deleted companies from the register. Future development will allow additionally to get information about roles and people with these roles plus accounts information will be available later.

eubg-logo-final.png

Project information

euBusinessGraph

Grant agreement ID: 732003

Project website

Status

Closed project

Start date

1 January 2017
End date

30 June 2019

Funded under:

H2020-EU.2.1.1.

Overall budget:

€ 3 601 500
EU contribution

€ 3 099 900

Coordinated by:

SINTEF AS

Project information

euBusinessGraph

Grant agreement ID: 732003

Project website

Status

Closed project

Start date

1 January 2017
End date

30 June 2019

Funded under:

H2020-EU.2.1.1.

Overall budget:

€ 3 601 500
EU contribution

€ 3 099 900

Coordinated by:

SINTEF AS

Norway

Deliverables

Documents, reports (4)

Data Gathering, Quality Assessment and Management Plan

This report will collect the requirements for (1) data gathering from the data providers, (2) the business rules that will be implemented to ensure data quality, and (3) the Data Management Plan.

System of Identifiers, Ontologies and Vocabularies

This deliverable will report on the system of identifiers and the relevant shared data models developed to support the business cases.

Requirements Analysis, Architecture and API Specification for the euBusinessGraph Marketplace – v1

This deliverable will collect the requirements for the marketplace, including requirements for the various services provisioned in the WP.

Exploitation and Dissemination Strategy

Will include the initial outputs of Task 5.2, including impact metrics and open source and engagement strategies for the project.

Other (1)

Website

The initial launch of the website as a platform for on-going engagement, including areas for blogging, news releases, project reports and a forum for feedback from interested parties.

Publications

Conference proceedings (6)

A Visual Data Profiling Tool for Data Preparation

Author(s): Bjoern Marius von Zernichow and Dumitru Roman

Published in: the proceedings of the Sixth International Conference on Data Analytics DATA ANALYTICS 2017, 2017

ALaDIn: Shining a Light on Air Quality through Data Integration and Machine Learning

Author(s): Dumitru Roman, Mike Kobernus, Rune Ødegård, Nikolay Nikolov, Dinaa Sukhobok, Bjoern Marius von Zernichow, Till Christopher Lech

Published in: Proceedings of the Environmental Informatics – From Science to Society: The Bridge provided by Environmental Informatics 2017, 2017

Predictive Data Transformation Suggestions in Grafterizer using Machine Learning

Author(s): Saliha Sajid, Bjørn Marius von Zernichow, Ahmet Soylu and Dumitru Roman

Published in: 2020

Usability of Visual Data Profiling in Data Cleaning and Transformation

Author(s): Bjørn Marius von Zernichow, Dumitru Roman

Published in: The 16th International Conference on Ontologies, DataBases, and Applications of Semantics, 2017, 2017, Page(s) 480-496

DOI: 10.1007/978-3-319-69459-7_32

Tabular Data Anomaly Patterns

Author(s): Dina Sukhobok, Nikolay Nikolov, Dumitru Roman

Published in: Proceedings of International Conference on Big Data Innovations and Applications (Innovate-Data 2017), 21-23 August 2017, Prague, Czech Republic, IEEE, 2017

Tabular Data Anomaly Patterns

Author(s): Dina Sukhobok, Nikolay Nikolov, Dumitru Roman

Published in: In the proceedings of The 3rd International Conference on Big Data Innovations and Applications, 2017

Peer reviewed articles (5)

Modeling of temporal fluctuation scaling in online news network with independent cascade model

Author(s): Jan Chołoniewski, Julian Sienkiewicz, Gregor Leban, Janusz A. Hołyst

Published in: Physica A: Statistical Mechanics and its Applications, Issue 523, 2019, Page(s) 129-144, ISSN 0378-4371

DOI: 10.1016/j.physa.2019.02.035

Towards Integrating Public Procurement Data into a Semantic Knowledge Graph 1-4

Author(s): Ahmet Soylu, Oscar Corcho, Elena Simperl, Dumitru Roman, Francisco Yedro Martínez, Chris Taggart, Ian Makgill, Brian Elvesæter, Ben Symonds, Helen McNally, George Konstantinidis, Yuchen Zhao, Till C. Lech

Published in: Proceedings of the EKAW 2018 Posters and Demonstrations Session co-located with 21st International Conference on Knowledge Engineering and Knowledge Management (EKAW 2018), 2018, ISSN 1613-0073

Training Temporal Word Embeddings with a Compass

Author(s): Valerio Di Carlo, Federico Bianchi, Matteo Palmonari

Published in: Proceedings of the AAAI Conference on Artificial Intelligence, Issue 33, 2019, Page(s) 6326-6334, ISSN 2374-3468

DOI: 10.1609/aaai.v33i01.33016326

Automatic Estimation of News Values Reflecting Importance and Closeness of News Events

Author(s): Evgenia Belyaeva, Aljaž Košmerlj, Dunja Mladenić, Gregor Leban

Published in: Informatica, Issue 42/4, 2018, ISSN 0350-5596

DOI: 10.31449/inf.v42i4.1132

MethOSM: A Methodology for Computing Composite Indicators Derived from OpenStreetMap Data

Author(s): Dumitru Roman, Tatiana Tarasova, and Javier Paniagua

Published in: Journal of Spatial Information Science JOSIS, 2019, 2019, ISSN 1948-660X

DOI: 10.5311/josis.2019.19.491

Other (4)

Relation Extraction from News.

Author(s): M. B. Massri, I. Novalija, M.Grobelnik

Published in: 2018

Creating the German open company data: how we did it

Author(s): Chris Taggart, Mollie Hanley, Alex Skene

Published in: 2019

"""Introducing corporate events: timeline data for companies"""

Author(s): Chris Taggart, Mollie Hanley

Published in: 2017

Patisserie Valerie shows why we need Corporate Events data

Author(s): Mollie Hanley

Published in: 2018

Book chapters (1)

Data preparation as a service based on Apache Spark

Author(s): Nivethika Mahasivam, Nikolay Nikolov, Dina Sukhobok, Dumitru Roman

Published in: Proceedings of The European Conference on Service-Oriented and Cloud Computing (ESOCC) 2017, 2017, Page(s) 125-139

DOI: 10.1007/978-3-319-67262-5_10

Project information

euBusinessGraph

Grant agreement ID: 732003

Project website

Status

Closed project

Start date

1 January 2017
End date

30 June 2019

Funded under:

H2020-EU.2.1.1.

Overall budget:

€ 3 601 500
EU contribution

€ 3 099 900

Coordinated by:

SINTEF AS

Project information

euBusinessGraph

Grant agreement ID: 732003

Project website

Status

Closed project

Start date

1 January 2017
End date

30 June 2019

Funded under:

H2020-EU.2.1.1.

Overall budget:

€ 3 601 500
EU contribution

€ 3 099 900

Coordinated by:

SINTEF AS

Norway

Project information

euBusinessGraph

Grant agreement ID: 732003

Project website

Status

Closed project

Start date

1 January 2017
End date

30 June 2019

Funded under:

H2020-EU.2.1.1.

Overall budget:

€ 3 601 500
EU contribution

€ 3 099 900

Coordinated by:

SINTEF AS

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Last update: 14 October 2019

Record number: 206353

CORDIS

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Participants (12)

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Periodic Reporting for period 1 - euBusinessGraph (Enabling the European Business Graph for Innovative Data Products and Services)

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Publications

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