%0 Conference Paper %1 AlexievKiryakovTarkalanov2017-euBusinessGraph-Semantics2017 %A Alexiev, Vladimir %A Kiryakov, Atanas %A Tarkalanov, Plamen %B 13th International Conference on Semantic Systems (Semantics 2017) %D 2017 %K business_graph company_data economics euBusinessGraph firmographics linked_data public_procurement %T euBusinessGraph: Company and Economic Data for Innovative Products and Services %U http://rawgit2.com/webdata/SEMANTiCS2017-posters/master/papers_final/163_Alexiev/index.html %X Corporate information, including basic company firmographics (e.g., name(s), incorporation data, registered addresses, ownership and related entities), financials (e.g., balance sheets, ratings), contextual data (e.g., addresses, economic activity classification, key officers, public tenders data, press mentions and events) 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. 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 expensive operation which renders many potential business models non-feasible. The euBusinessGraph project integrates European company and economic data from various data providers, including OpenCorporates (the largest open database of company info crawled from official registers), Norway's Bronnoysund Register Center (official register data), SpazioDati (rich IT data from official registers, additional databases, web crawl of company sites, tender info, etc), EventRegistry events, GLEI, Panama Leaks, etc. euBusinessGraph is intended to overcome these barriers and provision several important business cases, such as economic journalism (Deutsche Welle), publication of rich company data (BRC), tender information service (CERVED), business intelligence (EVRY), etc. It will also provide a marketplace of company data, with some free search and faceting, leading to information about richer Data Offerings by specific providers and their pricing. We will present the work done on exploring relevant ontologies and vocabularies for describing companies, systems of identifiers, development of a unified data model, plans for data flows, data aggregation, matching and cross-linking, and the opportunities that lie ahead for the business cases and the data marketplace.

@inproceedings{AlexievKiryakovTarkalanov2017-euBusinessGraph-Semantics2017, abstract = {Corporate information, including basic company firmographics (e.g., name(s), incorporation data, registered addresses, ownership and related entities), financials (e.g., balance sheets, ratings), contextual data (e.g., addresses, economic activity classification, key officers, public tenders data, press mentions and events) 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. 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 expensive operation which renders many potential business models non-feasible. The euBusinessGraph project integrates European company and economic data from various data providers, including OpenCorporates (the largest open database of company info crawled from official registers), Norway's Bronnoysund Register Center (official register data), SpazioDati (rich IT data from official registers, additional databases, web crawl of company sites, tender info, etc), EventRegistry events, GLEI, Panama Leaks, etc. euBusinessGraph is intended to overcome these barriers and provision several important business cases, such as economic journalism (Deutsche Welle), publication of rich company data (BRC), tender information service (CERVED), business intelligence (EVRY), etc. It will also provide a marketplace of company data, with some free search and faceting, leading to information about richer Data Offerings by specific providers and their pricing. We will present the work done on exploring relevant ontologies and vocabularies for describing companies, systems of identifiers, development of a unified data model, plans for data flows, data aggregation, matching and cross-linking, and the opportunities that lie ahead for the business cases and the data marketplace.}, added-at = {2021-08-25T16:07:36.000+0200}, author = {Alexiev, Vladimir and Kiryakov, Atanas and Tarkalanov, Plamen}, biburl = {https://www.bibsonomy.org/bibtex/281c0b5441f3424034d807bf7320c4cb2/valexiev}, booktitle = {13th International Conference on Semantic Systems (Semantics 2017)}, categories = {Resource Description Framework (RDF), Ontologies, Enterprise applications}, interhash = {6944f35e7adf8fd2d98d3ca7c73e60a0}, intrahash = {81c0b5441f3424034d807bf7320c4cb2}, keywords = {business_graph company_data economics euBusinessGraph firmographics linked_data public_procurement}, month = sep, subtitle = {Enabling the European Business Graph for Innovative Data Products and Services}, timestamp = {2021-08-25T16:07:36.000+0200}, title = {euBusinessGraph: Company and Economic Data for Innovative Products and Services}, url = {http://rawgit2.com/webdata/SEMANTiCS2017-posters/master/papers_final/163_Alexiev/index.html}, url_pdf = {https://github.com/webdata/SEMANTiCS2017-posters/raw/master/papers_final/163_Alexiev/163_Alexiev.pdf}, url_poster = {http://rawgit2.com/VladimirAlexiev/my/master/pubs/euBusinessGraph-poster-Semantics2017.pdf}, url_slides = {https://www.slideshare.net/valexiev1/eubusinessgraph-company-and-economic-data}, year = 2017 }