Understanding the development of public data ecosystems: From a conceptual model to a six-generation model of the evolution of public data ecosystems
There is a lack of understanding of the elements that constitute different types of value-
adding public data ecosystems and how these elements form and shape the development of …
adding public data ecosystems and how these elements form and shape the development of …
The integration of WoT and edge computing: Issues and challenges
The Web of Things is an improvement on the Internet of Things (IoT) that incorporates smart
objects into both the web architecture (application) and the internet (network). WoT …
objects into both the web architecture (application) and the internet (network). WoT …
Data ecosystems for protecting European citizens' digital rights
Purpose This paper aims to spark a debate by presenting the need for develo** data
ecosystems in Europe that meet the social and public good while committing to democratic …
ecosystems in Europe that meet the social and public good while committing to democratic …
Analysis of factors affecting adoption of volunteered geographic information in the context of national spatial data infrastructure
Spatial data infrastructures (SDIs) have been implemented for the last four decades in most
countries. One of the key objectives of SDIs is to ensure the quick availability and …
countries. One of the key objectives of SDIs is to ensure the quick availability and …
Resilience and recovery mechanisms for software-defined networking (SDN) and cloud networks
This research examines the vulnerabilities and resilience mechanisms of Software-Defined
Networking (SDN) and cloud networks, with a specific focus on controller failures and …
Networking (SDN) and cloud networks, with a specific focus on controller failures and …
Using OpenStreetMap data and machine learning to generate socio-economic indicators
D Feldmeyer, C Meisch, H Sauter… - … International Journal of …, 2020 - mdpi.com
Socio-economic indicators are key to understanding societal challenges. They disassemble
complex phenomena to gain insights and deepen understanding. Specific subsets of …
complex phenomena to gain insights and deepen understanding. Specific subsets of …
Subsurface topographic modeling using geospatial and data driven algorithm
Infrastructures play an important role in urbanization and economic activities but are
vulnerable. Due to unavailability of accurate subsurface infrastructure maps, ensuring the …
vulnerable. Due to unavailability of accurate subsurface infrastructure maps, ensuring the …
Digital government in social sciences discipline: map** pivotal features and proposed theoretical model
The research aimed to describe the trend issues, identify the key features, and propose a
theoretical model of digital government. A comprehensive search was used to find eligible …
theoretical model of digital government. A comprehensive search was used to find eligible …
Factors influencing integrated information management: Spatial data infrastructure in Pakistan
Spatial data is one of the core components in all information retrieval processes for decision-
making. Spatial data acquisition consumes enormous monetary resources and time. The …
making. Spatial data acquisition consumes enormous monetary resources and time. The …
[HTML][HTML] What are data spaces? Systematic survey and future outlook
Data spaces, a novel concept pushing data sharing and exchange, are experiencing
momentum because of recent developments motivated by the increasing need for …
momentum because of recent developments motivated by the increasing need for …