Opendata, web and dolomites


Enabling the property Data Marketplace for Novel Data-driven Business Models

Total Cost €


EC-Contrib. €






Project "proDataMarket" data sheet

The following table provides information about the project.


Organization address
address: STRINDVEIEN 4
postcode: 7034

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Norway [NO]
 Project website
 Total cost 4˙482˙957 €
 EC max contribution 3˙499˙144 € (78%)
 Programme 1. H2020-EU. (Content technologies and information management: ICT for digital content, cultural and creative industries)
 Code Call H2020-ICT-2014-1
 Funding Scheme IA
 Starting year 2015
 Duration (year-month-day) from 2015-03-01   to  2017-08-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    STIFTELSEN SINTEF NO (TRONDHEIM) coordinator 999˙207.00
2    EVRY NORGE AS NO (FORNEBU) participant 644˙000.00
4    SPAZIODATI SRL IT (TRENTO) participant 352˙625.00
5    CERVED GROUP SPA IT (MILANO) participant 285˙687.00
7    ONTOTEXT AD BG (SOFIA) participant 230˙562.00
8    ISTITUTO NAZIONALE DI STATISTICA IT (ROMA) participant 204˙375.00


 Project objective

Property data are one of the most valuable datasets managed by governments worldwide and extensively used in various domains by private and public organizations. Unfortunately these data are not always easy to access. House and property data is used in a variety of ways to produce value added information within and across several business sectors, including real estate and debt collection. Such sectors suffer from a lack of innovation due to a fragmented data ecosystem which makes it difficult to access relevant datasets. This hampers innovation, protects incumbents and promotes rent-seeking business models. The difficulty in creating a single, open data market partly depends on the fact that some governmental agencies are currently making significant revenues on selling data to a restricted number of business players in the private sector. However, several studies, demonstrated that the transaction costs for government agencies tend to be very high, and often make selling the data non-profitable. proDataMarket aims to disrupt the property data market and demonstrate innovation across sectors where property data is relevant, by integrating a technical framework for effective publishing and consumption of property-related data, showcasing novel data-driven business products and services based on property data. proDataMarket will provide a digital data marketplace for open and non-open property and related contextual data, making it easier for data providers to publish and distribute their data (for free or for a fee) and for data consumers to easily access the data they need for their businesses. The consortium is formed by large companies ensuring high-impact business cases, technology transfer providers ensuring technologies for the creation and maintenance of the data market platform, and large data providers providing data for the business cases. With strong industry involvement proDataMarket will cover a wide range of data value chains related to property data.


List of deliverables.
Impact Creation Report Documents, reports 2019-01-10 15:25:10
Data Collection, Data Quality, Ontologies and Vocabularies Documents, reports 2019-02-13 11:10:37
Exploitation and Dissemination Strategy Documents, reports 2019-03-04 17:24:56
Requirements Analysis and Design of the Data Marketplace Portal Documents, reports 2019-02-13 11:10:31
Requirements Analysis, Design and API Specification for the proDataMarket Platform Documents, reports 2019-02-13 11:10:31
Website Other 2019-02-13 11:10:39

Take a look to the deliverables list in detail:  detailed list of proDataMarket deliverables.


year authors and title journal last update
List of publications.
2017 D. Roman, J. Paniagua, T. Tarasova, G. Georgiev, D. Sukhobok, N. Nikolov, and T. C. Lech
proDataMarket: A Data Marketplace for Monetizing Linked Data
published pages: , ISSN: , DOI:
2017 L. Shi and D. Roman
Using rules for assessing and improving data quality: A case study for the Norwegian State of Estate report
published pages: , ISSN: , DOI:
Proceedings of the Doctoral Consortium, Challenge, Industry Track, Tutorials and Posters @ RuleML+RR 2017 hosted by International Joint Conference on Rules and Reasoning 2017 (RuleML+RR 2017), London, UK, July 11-15, 2017 2019-05-30
2017 N. Nikolov, D. Sukhobok, S. Dragnev, S. Dalgard, B. Elvesæter, B. M. von Zernichow and D. Roman
DataGraft beta v2: New Features and Capabilities
published pages: , ISSN: , DOI:
2017 L. Shi, B. E. Pettersen, D. Sukhobok, N. Nikolov and D. Roman
Linked Data for the Norwegian State of Estate Reporting Service
published pages: , ISSN: , DOI:
2017 B. M. von Zernichow and D. Roman
A Visual Data Profiling Tool for Data Preparation
published pages: , ISSN: , DOI:
2017 D. Sukhobok, H. Sanchez, J. Estrada, D. Roman.
Linked Data for Common Agriculture Policy: Enabling Semantic Querying over Sentinel-2 and LiDAR Data
published pages: , ISSN: , DOI:
2017 D Sukhobok, N. Nikolov, T. C. Lech, A.-H. Moberg, R. Frantsvag, H. R. Bergaas, D. Roman
Interacting with Subterranean Infrastructure Linked Data using Augmented Reality
published pages: , ISSN: , DOI:
Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017) 2019-05-30
2017 D. Sukhobok, D. Djordjevic, D. Sanvito and D. Roman
Publishing Socio-Economic Territory Indices as Linked Data and their Visualization for Real Estate Valuation
published pages: , ISSN: , DOI:
2017 L. Shi and D. Roman.
From Standards and Regulations to Executable Rules: A Case Study in the Building Accessibility Domain
published pages: , ISSN: , DOI:
2018 D. Roman, M. Kobernus, R. Ødegård, N. Nikolov, D. Sukhobok, B. M. von Zernichow, T. C. Lech
ALaDIn: Shining a Light on Air Quality through Data Integration and Machine Learning
published pages: , ISSN: , DOI:
proceedings of the Environmental Informatics – From Science to Society: The Bridge provided by Environmental Informatics (EnviroInfo 2017), Luxembourg, 13th – 15th September 2017 2019-05-30
2018 L. Shi, N. Nikolov, D. Sukhobok, T. Tarasova and D. Roman
The proDataMarket Ontology for Publishing and Integrating Cross-domain Real Property Data
published pages: , ISSN: 2499-2674, DOI:
Territorio Italia 2019-05-30
2016 D. Sukhobok, N. Nikolov, A. Pultier, X. Ye, A..J. Berre, R. Moynihan, B. Roberts, B. Elvesæter, N. Mahasivam and D. Roman
Tabular Data Cleaning and Linked Data Generation with Grafterizer
published pages: , ISSN: , DOI:
13th ESWC 2016 Yearly 2019-01-10
2017 D. Sukhobok, N. Nikolov, and D. Roman
Tabular Data Anomaly Patterns
published pages: , ISSN: , DOI:
Proceedings of The 3rd International Conference on Big Data Innovations and Applications 2019-05-30
2016 D. Roman, M. Dimitrov, N. Nikolov, A. Putlier, D. Sukhobok, B. Elvesæter, A..J. Berre, X. Ye, A. Simov and Y. Petkov
DataGraft: Simplifying Open Data Publishing
published pages: , ISSN: , DOI:
2018 N. Mahasivam, N. Nikolov, D. Sukhobok and D. Roman
Data preparation as a service based on Apache Spark
published pages: , ISSN: , DOI:
Proceedings of The European Conference on Service-Oriented and Cloud Computing (ESOCC) 2019-05-30
2017 D.Y.C. Gan and D. Roman
Mobile Big Data: The Silver Bullet for Telcos? A Case Study in the Norwegian Telcos Market
published pages: , ISSN: , DOI:
In proceedings of the International Conference on Big Data Analytics, Data Mining and Computational Intelligence, 21 – 23 July 2017, Lisbon, Portugal 2019-05-30
2017 Jesús Estrada, Héctor Sánchez, Lorena Hernanz, María Checa, Dumitru Roman
Enabling the Use of Sentinel-2 and LiDAR Data for Common Agriculture Policy Funds Assignment
published pages: 255, ISSN: 2220-9964, DOI: 10.3390/ijgi6080255
ISPRS International Journal of Geo-Information 6/8 2019-05-30
2016 S. Pozzati, D. Sanvito, C. Castelli, D. Roman
Understanding territorial distribution of Properties of Managers and Shareholders: a Data-driven Approach
published pages: 27-40, ISSN: 2499-2674, DOI: 10.14609/Ti_2_16_2e
Territorio Italia 2019-05-30
2016 D. Roman and S. Gatti
Towards a Reference Architecture for Trusted Data Marketplaces
published pages: , ISSN: , DOI:

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