A data model and algorithms for a spatial data marketplace

• Published in: International journal of geographical information science : IJGIS Vol. 32; no. 11; pp. 2140 - 2168
• Main Author: Sakr, Mahmoud
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 02.11.2018; Taylor & Francis LLC
• Subjects: Algorithms; Data models; Data processing; GeoHash; key-value stores; price queries; Representations; Spatial data; z-order
• ISSN: 1365-8816; 1362-3087; 0269-3798; 1362-3087; 1365-8824
• DOI: 10.1080/13658816.2018.1484124

A data marketplace is a platform that facilitates online data trading. It gives sellers the capabilities of publishing data, defining the price function, the authorization rules and the data contract. It gives customers the capabilities to search for data services, to query for their price, to invoke them and to pay for the usage. As data are more and more emphasized as a payable asset, the need for data marketplaces rises. There is a lack of marketplace proposals for spatial data. This paper contributes to fill-in this gap. We propose a data model for representing the different types of data involved. The logical representation of data is a quadtree, and the physical representation fits into a key-value store. The model is thus logically simple and extensible, and physically scalable and highly available. We discuss price queries in detail and propose evaluation algorithms.