During past decades, Territories in-Between (TiB) have gained increased attention among researchers in the field of urban planning and design. TiB are often considered to be underused, lack spatial quality and are under mounting pressure of urban densification. However, the rich diversity of land uses and abundance of semi-open spaces in the TiB provide unique habitats and social-ecological potentials, different from exclusively urban or rural landscapes. Therefore, urban planners and designers should reconsider conventional planning and design approaches towards these kinds of territories. The objective of this paper is to present a holistic planning and design approach towards TiB which acknowledges and strengthens its unique social-ecological potentials on local and regional scales. The new spatial planning concept that was developed through a ‘research-by-design’ process is called: The Recovering Membrane. This concept was developed for the city of Rotterdam. The Recovering Membrane is defined as a spatial layer of interaction between two distinctive living environments – urban and rural – and various human and non-human actors in them. The research puts forward that design for the TiB should consider the urban fringe as a distinctive kind of TiB with unique social-ecological potentials. Moreover, spatial design should strengthen existing spatial qualities of the TiB, to protect its pressured, yet highly valuable, characteristics. Additionally, local nature-based interventions can provide an important tool for placemaking in the TiB, especially when integrated with long-term and large-scale area transformations.

Spatial Data Infrastructures (SDIs) aim at making spatial (geographical) data and thus content available for the benefit of the economy and of the society. Agreement and sharing of vocabularies within the SDI are vital for interoperability. But there is a limitation: many vocabularies have been defined within domains while other domains have not been taken into account. Therefore, little harmonisation has been achieved and data sharing between domains within the SDI is problematic. This paper presents a methodology and tools for non-automatic, community driven ontology matching that we developed to harmonise the definition of concepts in domain models that are already being defined and used in operational use cases. Besides the methodology and tools that we developed, we describe our experiences and lessons learned as well as future work.