Title
A Data Model And Algorithms For A Spatial Data Marketplace
Abstract
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.
Year
DOI
Venue
2018
10.1080/13658816.2018.1484124
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
Keywords
Field
DocType
GeoHash, key-value stores, price queries, z-order
Spatial analysis,Geohash,Computer science,Algorithm,Data type,Data as a service,Data model,Z-order,Quadtree,Scalability
Journal
Volume
Issue
ISSN
32
11
1365-8816
Citations 
PageRank 
References 
0
0.34
12
Authors
1
Name
Order
Citations
PageRank
Mahmoud Attia Sakr1101.93