Big data analytics and applications are among the most important and prominent areas in big data research. This special issue aims to publish articles that, broadly construed, present advances in the general direction of big data analytics and applications.
The use of Semantic Web technologies led to an increasing number of structured data published on the Web. Despite the advances on question answering systems retrieving the desired information from structured sources is still a substantial challenge.
The group focuses on combining Semantic Web and supervised Machine Learning technologies. The goal is to improve both quality and quantity of available knowledge by extracting, analysing, enriching and linking existing data. The group also provides several established open source tools, frameworks and demonstrators.
Geospatial analysis is the gathering, display, and manipulation of imagery, GPS, satellite photography and historical data, described explicitly in terms of geographic coordinates or implicitly, in terms of a street address, postal code, or forest stand identifier as they are applied to geographic models.
The group focuses on combining Semantic Web and Software Engineering technologies
- to develop novel methods, techniques, and tools that advance the way in which software is designed, synthetised and assessed;
- to ensure that our research results have a lasting impact in software development practice;
- to offer students an education that prepares them to take a leading role in complex software development projects; and
- to contribute to improve the competetiveness of the industry.