Explore the words cloud of the proDataMarket project. It provides you a very rough idea of what is the project "proDataMarket" about.
The following table provides information about the project.
Coordinator |
STIFTELSEN SINTEF
Organization address contact info |
Coordinator Country | Norway [NO] |
Project website | https://prodatamarket.eu/ |
Total cost | 4˙482˙957 € |
EC max contribution | 3˙499˙144 € (78%) |
Programme |
1. H2020-EU.2.1.1.4. (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.
# | ||||
---|---|---|---|---|
1 | STIFTELSEN SINTEF | NO (TRONDHEIM) | coordinator | 999˙207.00 |
2 | EVRY NORGE AS | NO (FORNEBU) | participant | 644˙000.00 |
3 | KOMMUNAL- OG MODERNISERINGSDEPARTEMENTET | NO (OSLO) | participant | 505˙750.00 |
4 | SPAZIODATI SRL | IT (TRENTO) | participant | 352˙625.00 |
5 | CERVED GROUP SPA | IT (MILANO) | participant | 285˙687.00 |
6 | EMPRESA DE TRANSFORMACION AGRARIA SA | ES (MADRID) | participant | 276˙937.00 |
7 | ONTOTEXT AD | BG (SOFIA) | participant | 230˙562.00 |
8 | ISTITUTO NAZIONALE DI STATISTICA | IT (ROMA) | participant | 204˙375.00 |
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.
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 |
---|---|---|---|
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: |
2019-05-30 | |
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: |
2019-05-30 | |
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: |
2019-05-30 | |
2017 |
B. M. von Zernichow and D. Roman A Visual Data Profiling Tool for Data Preparation published pages: , ISSN: , DOI: |
2019-05-30 | |
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: |
2019-05-30 | |
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: |
2019-05-30 | |
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: |
2019-05-30 | |
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: |
2019-01-10 | |
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, MarÃa 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: |
2019-01-10 |
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "PRODATAMARKET" project.
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Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.
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The information about "PRODATAMARKET" are provided by the European Opendata Portal: CORDIS opendata.