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

Livrables

D5.1: Website (M3, Lead: SDATI, Contributors: ALL) 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.

Impact Creation Report

D5.3: Impact Creation Report (M30, Lead: TRAGSA, Contributors: ALL) An assessment of the impact of the project overall, against the metrics developed in the strategy, including case studies that demonstrate its impact.

Requirements Analysis and Design of the Data Marketplace Portal

D3.1 Requirements Analysis and Design of the Data Marketplace Portal (M5, Lead: SDATI, Contributors: SINTEF, ONTO) This deliverable will collect the requirements for the portal hosting the marketplace, together with the analytics tasks to be developed as part of the portal, specifically tailored for property-related data.

Exploitation and Dissemination Strategy

D5.2: Exploitation and Dissemination Strategy (M6, Lead: TRAGSA, Contributors: ALL) Will include the initial outputs of Task 5.2, including impact metrics and open source and engagement strategies for the project.

Data Collection, Data Quality, Ontologies and Vocabularies

D1.1 Data Collection, Data Quality, Ontologies and Vocabularies (M12, Lead: ISTAT, Contributors: SINTEF, CERVED, EVERY, TRAGSA, SBYGG) This report will collect the requirements for (1) data collection from the data providers, (2) the business rules that will be implemented to ensure data quality, and (3) analysis and preparation of relevant ontologies and vocabularies from INSPIRE and ISA. This deliverable will include also the Data Management Plan.

Requirements Analysis, Design and API Specification for the proDataMarket Platform

D2.1 Requirements Analysis, Design and API Specification for the proDataMarket Platform (M4, Lead: SINTEF, Contributors: ONTO, SDATI) Based on analysis of the datasets provided by the data providers of the consortium, this deliverable collect the requirements for: (1) data workflows and methodology; (2) the data transformation, cleanup interlinking and enrichment processes that will deliver Linked Data from the various legacy data sources; and (3) the Linked Data publication and consumption infrastructure of the proDataMarket platform; (4) operational services for platform. In addition to the requirements collection, the deliverable will provide initial design and architecture recommendations, together with first drafts of various APIs which will be exposed to WP3 internally, as well as to and the data publishers and data consumers of the platform. This deliverable is the basis for deliverables D2.2 – D2.4.

Publications

Understanding territorial distribution of Properties of Managers and Shareholders: a Data-driven Approach

Auteurs: S. Pozzati, D. Sanvito, C. Castelli, D. Roman
Publié dans: Territorio Italia, 2016, Page(s) 27-40, ISSN 2499-2674
Éditeur: Agenzia delle Entrate
DOI: 10.14609/Ti_2_16_2e

Enabling the Use of Sentinel-2 and LiDAR Data for Common Agriculture Policy Funds Assignment

Auteurs: Jesús Estrada, Héctor Sánchez, Lorena Hernanz, María Checa, Dumitru Roman
Publié dans: ISPRS International Journal of Geo-Information, Numéro 6/8, 2017, Page(s) 255, ISSN 2220-9964
Éditeur: Multidisciplinary Digital Publishing Institute
DOI: 10.3390/ijgi6080255

The proDataMarket Ontology for Publishing and Integrating Cross-domain Real Property Data

Auteurs: L. Shi, N. Nikolov, D. Sukhobok, T. Tarasova and D. Roman
Publié dans: Territorio Italia, 2018, ISSN 2499-2674
Éditeur: Agenzia delle Entrate

Tabular Data Anomaly Patterns

Auteurs: D. Sukhobok, N. Nikolov, and D. Roman
Publié dans: Proceedings of The 3rd International Conference on Big Data Innovations and Applications, 2017
Éditeur: IEEE

Data preparation as a service based on Apache Spark

Auteurs: N. Mahasivam, N. Nikolov, D. Sukhobok and D. Roman
Publié dans: Proceedings of The European Conference on Service-Oriented and Cloud Computing (ESOCC), 2018
Éditeur: Springer

From Standards and Regulations to Executable Rules: A Case Study in the Building Accessibility Domain

Auteurs: L. Shi and D. Roman.
Publié dans: 2017
Éditeur: International Joint Conference on Rules and Reasoning 2017 (RuleML+RR 2017)

Mobile Big Data: The Silver Bullet for Telcos? A Case Study in the Norwegian Telcos Market

Auteurs: D.Y.C. Gan and D. Roman
Publié dans: In proceedings of the International Conference on Big Data Analytics, Data Mining and Computational Intelligence, 21 – 23 July 2017, Lisbon, Portugal, 2017
Éditeur: IADIS INTERNATIONAL JOURNAL ON COMPUTER SCIENCE AND INFORMATION SYSTEMS

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

Auteurs: D. Roman, M. Kobernus, R. Ødegård, N. Nikolov, D. Sukhobok, B. M. von Zernichow, T. C. Lech
Publié dans: proceedings of the Environmental Informatics – From Science to Society: The Bridge provided by Environmental Informatics (EnviroInfo 2017), Luxembourg, 13th – 15th September 2017, 2018
Éditeur: EnviroInfo

Norwegian State of Estate Report as Linked Open Data

Auteurs: L. Shi, D. Sukhobok, N. Nikolov and D. Roman
Publié dans: 2017, ISBN 978-3-319-69458-0
Éditeur: Springer

Usability of Visual Data Profiling in Data Cleaning and Transformation

Auteurs: B. M. von Zernichow and D. Roman
Publié dans: 2017, ISBN 978-3-319-69458-0
Éditeur: Spriner

The InfraRisk Ontology: Enabling Semantic Interoperability for Critical Infrastructures at Risk from Natural Hazards

Auteurs: D. Roman, D. Sukhobok, N. Nikolov, B. Elvesæter and A. Pultier
Publié dans: 2017, ISBN 978-3-319-69458-0
Éditeur: Springer

Linked Data for Common Agriculture Policy: Enabling Semantic Querying over Sentinel-2 and LiDAR Data

Auteurs: D. Sukhobok, H. Sanchez, J. Estrada, D. Roman.
Publié dans: 2017
Éditeur: International Semantic Web Conference (Posters, Demos & Industry Tracks)

Publishing Socio-Economic Territory Indices as Linked Data and their Visualization for Real Estate Valuation

Auteurs: D. Sukhobok, D. Djordjevic, D. Sanvito and D. Roman
Publié dans: 2017
Éditeur: International Semantic Web Conference (Posters, Demos & Industry Tracks)

Interacting with Subterranean Infrastructure Linked Data using Augmented Reality

Auteurs: D Sukhobok, N. Nikolov, T. C. Lech, A.-H. Moberg, R. Frantsvag, H. R. Bergaas, D. Roman
Publié dans: Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017), 2017
Éditeur: nternational Semantic Web Conference (Posters, Demos & Industry Tracks)

Linked Data for the Norwegian State of Estate Reporting Service

Auteurs: L. Shi, B. E. Pettersen, D. Sukhobok, N. Nikolov and D. Roman
Publié dans: 2017
Éditeur: International Semnataic Web Conference (Posters, Demos & Industrial Tracks)

proDataMarket: A Data Marketplace for Monetizing Linked Data

Auteurs: D. Roman, J. Paniagua, T. Tarasova, G. Georgiev, D. Sukhobok, N. Nikolov, and T. C. Lech
Publié dans: 2017
Éditeur: International Semantic Web Conference (Posters, Demos & Industrial Tracks)

A Visual Data Profiling Tool for Data Preparation

Auteurs: B. M. von Zernichow and D. Roman
Publié dans: 2017
Éditeur: The Sixth International Conference on Data Analytics

DataGraft beta v2: New Features and Capabilities

Auteurs: N. Nikolov, D. Sukhobok, S. Dragnev, S. Dalgard, B. Elvesæter, B. M. von Zernichow and D. Roman
Publié dans: 2017
Éditeur: International Semnatic Web Conference (Posters, Demos & Industrial Tracks)

Using rules for assessing and improving data quality: A case study for the Norwegian State of Estate report

Auteurs: L. Shi and D. Roman
Publié dans: 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, 2017
Éditeur: International Joint Conference on Rules and Reasoning 2017 (RuleML+RR 2017)

Rules and Reasoning

Auteurs: Stefania Costantini, Enrico Franconi, William Van Woensel, Roman Kontchakov, Fariba Sadri, Dumitru Roman
Publié dans: Lecture Notes in Computer Science, 2017, ISBN 978-3-319-61252-2
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-61252-2

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