A data model and algorithms for a spatial data marketplace
| Autor: | Mahmoud Attia Sakr |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
key-value stores
Computer science media_common.quotation_subject Geography Planning and Development Geohash Library and Information Sciences computer.software_genre 01 natural sciences 0103 physical sciences Géographie humaine Function (engineering) 010303 astronomy & astrophysics Spatial analysis Technologies de l'information et de la communication (TIC) media_common Informatique générale 05 social sciences Authorization TheoryofComputation_GENERAL 050301 education GeoHash Data model price queries z-order ComputingMilieux_COMPUTERSANDSOCIETY Data mining 0503 education computer Information Systems Z-order |
| Zdroj: | International journal of geographical information science, 32 (11 |
| Popis: | 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. SCOPUS: ar.j info:eu-repo/semantics/published |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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