Ontotext is a SME founded in 2000 in Sofia, Bulgaria. For more than a decade Ontotext has successfully delivered Semantic Technology products and solutions that improve data integration, data management and search within enterprises. Key products of Ontotext include GraphDB – one of the leading enterprise RDF graph databases, and the Self-Service Semantic Suite (S4) – a platform for on-demand smart applications and data management. Ontotext is also delivering semantic data management solutions to organizations in various verticals: media & publishing, healthcare & life sciences, museums and digital libraries.
Ontotext’s vision for smart data management is based on using ontologies and vocabularies for modelling data, analyzing free flowing text content and extracting structured information and facts. The RDF graphs data model provides an agile way to manage and query heterogeneous data, and powerful semantic search can be implemented on top of the graph data. This way the business users can ask more complex questions and find more precise answers, than by using traditional enterprise full-text search approaches.
Ontotext is one of the technology partners in the proDataMarket project. Ontotext’s responsibilities include delivering a scalable data management infrastructure, which will allow for data stored in various legacy data sources to be transformed into RDF graphs with proper metadata mappings to popular ontologies and vocabularies. A scalable RDF database-as-a-service running in the Cloud will be one of the key components of the proDataMarket infrastructure, and it will enable quick deployment of new data services on top of 3rd party datasets. This way, the numerous data publishers will not need to deal with the overhead of provisioning and maintaining the access to their data, while developers will get an easy, instant and reliable access to valuable property related via simple RESTful APIs.
Who we are
Cerved is the Italian leader in credit risk analysis and the top independent market player for credit management. It offers the most complete range of products and services used by around 34,000 businesses and financial institution to assess solvency and credit rating of its business partners, monitor and manage credit risk and define marketing strategies.
What we do
Cerved responds to needs of its customers (financial institutions, corporations, insurance companies, public administration, professional and private customers) through a wide range of services and products divided into three business areas:
- Credit Information: Cerved provides data and information to assess economic and financial profile and reliability of businesses and individuals, and it supports customers defining assessment models and decision-making systems;
- Marketing solutions: this business line offers an extensive, in-depth range of services, such as searching for new customers, competition analysis, increasing awareness of its customer base, along with custom design solutions providing the most effective commercial strategies;
- Credit Management: through its subsidiaries Cerved Credit Management and Finservice, Cerved is the leading independent market player, offering specials skills in different areas, from credit assessment to credit management in and out of the court and to remarketing of securities and properties.
Role in the proDataMarket project
Cerved participates as a large industry partner in proDataMarket and acts as a data and business case provider. Cerved develops two business cases in proDataMarket:
- Business case CCRS (Cerved Cadastral Report Service)
The correct estimation of the value of properties owned by companies and individuals is one of the crucial elements for understanding their economic behaviour and to predict their financial stability.
The goal is to increase the precision of the estimation by relying on the data made available through the proDataMarket marketplace. The activities will focus on both increasing the quality of the service thanks to the proDataMarket datasets and data integration (fusion of open dataset, property data and third-party data).
- Business case CST (Cerved Scouting the Terrain Service)
In order to optimize their strategies and maximize the rate of success of their marketing actions, businesses need to understand the territory in which their target customers move and live.
To achieve this goal, the activities will be focused on leveraging the data made available via the proDataMarket platform to integrate it with CERVED’s own business information data with the goal of developing value-added geo-marketing indicators, analyses and visualizations.
SINTEF is Scandinavia’s largest independent research organization. SINTEF is multidisciplinary, with international top-level expertise in a wide range of technological and scientific disciplines, including areas such as ICT, medicine, and the social sciences. SINTEF’s company vision is “technology for a better society”, and it is an important aspect of SINTEF’s societal role to contribute to the creation of more jobs. SINTEF acts as an incubator, commercialising technologies through the establishment of new companies. SINTEF is represented in proDataMarket by Information and Communication Technology (SINTEF ICT) through the department for Networked Systems and Services (NSS).
Role in the project: SINTEF is the project leader of proDataMarket, and in addition serves as a technology provider in the project. SINTEF’s technical focus is on the technical infrastructure of the proDataMarket platform related to data management technologies, in particular data publishing and access, helping organizations with cost-effective solutions for (linked open) data management. Our goal is to promote standardisation with mechanisms for defining structure and semantics of data, as well as improve the interoperability and transparency among data publishers and consumers through leveraging the linked data format. Technically, we are constructing a software framework that consists of a frontend and a set of platform services that support reusable data cleaning and reconfiguration based on pluggable static, dynamic or streaming input in various formats (e.g., relational databases, CSV files, WMS/WFS services, etc.). Outputs will be published on the proDataMarket platform and available to end users and other publishers through a secured set of platform services such as SPARQL query endpoints and RESTful APIs. This framework is meant to provide automation for significantly reducing the manual effort involved in the highly laborious process of data retrieval and aggregation.
In proDataMarket, SINTEF reuses and extends its data reconfiguration solutions from the DaPaaS project. In particular, we plan to further develop the Grafterizer tool for data cleaning and linked data mapping of tabular inputs.