Application Programming Interface for Flood Forecasting from Geospatial Big Data and Crowdsourcing Data

Flood Forecasting Using Artificial Neural Networks: an Application of Multi-Model Data Fusion technique

Floods are among the natural disasters that cause human hardship and economic loss. Establishing a viable flood forecasting and warning system for communities at risk can mitigate these adverse effects. However, establishing an accurate flood forecasting system is still challenging due to the lack of knowledge about the effective variables in forecasting. The present study has indicated that th...

Big Data Quality: From Content to Context

Over the last 20 years, and particularly with the advent of Big Data and analytics, the research area around Data and Information Quality (DIQ) is still a fast growing research area. There are many views and streams in DIQ research, generally aiming at improving the effectiveness of decision making in organizations. Although there are a lot of researches aimed at clarifying the role of BIG data...

Towards Open Big Geospatial Data for geodata.gov.gr

Open data provided by the public sector constitute a significant opportunity for growth. PublicaMundi (http://publicamundi.eu) is an EU FP7-ICT project aiming to make open geospatial data easier to discover, reuse, and share by fully supporting their complete publishing lifecycle in open data catalogues. To achieve this, PublicaMundi extends and integrates leading open source software for open ...

Geospatial Big Data: Challenges and Opportunities

Big Data Analytics and Now-casting: A Comprehensive Model for Eventuality of Forecasting and Predictive Policies of Policy-making Institutions

The ability of now-casting and eventuality is the most crucial and vital achievement of big data analytics in the area of policy-making. To recognize the trends and to render a real image of the current condition and alarming immediate indicators, the significance and the specific positions of big data in policy-making are undeniable. Moreover, the requirement for policy-making institutions to ...