Nebula Public Library

Tables and graphs are knowingly used to organise data within a company with different levels of depth and complexity. Knowledge graphs (KGs) are particularly useful because they can cope with data diversity (high-quality complete data and sparse and incomplete data), they have a high degree of scalability and flexibility (the semantic data model can be inter-operational, large, wide and as deep as needed) and, last but not least, they provide reasoning and inference capabilities.

The increase of space debris means that active space debris removal is becoming more relevant. An active debris removal mission would have a positive effect (or risk reduction) for all satellites in the same orbital band. This leads to a dilemma: each space agency has an incentive to delay its actions and wait for others to respond. We model this scenario as a non-cooperative game between self-interested agents in which the agents are space agencies.

Low Earth orbit (LEO) is experiencing a renaissance thanks to increasing commercialisation of space. The opportunities provided by small satellites are enabling diminutive companies and startups, in particular, to make a significant impact on the space economy. Small satellites have played a vital role in this revolution and they have a unique ability to bring around new products and services at short timescales and for relatively low-cost.

The Crowd4Sat project explored a range of crowdsourcing methodologies and technologies, from opportunistic sourcing ­ the ability to extract relevant data from unrelated activities ­ to participatory sourcing, where citizens and authorities explicitly participate in the data collection. The crowdsourced data and information collected ranged from real time pollution data from cars (via the The Floow's technologies who have hundreds of thousands of users on four continents), to crowdsourced geotagged images from sites like Panoramio, Flicker and Twitter, to social media messages (e.g.