In the last decades, the use of information management systems in the building data processing led to radical changes to the methods of data production, documentation and archiving. In particular, the possibilities, given by these information systems, to visualize the 3D model and to formulate queries have placed the question of the information sharing in digital format. The integration of information systems represents an efficient solution for defining smart, sustainable and resilient projects, such as conservation and restoration processes, giving the possibilities to combine heterogeneous data. GIS provides a robust data storage system, a definition of topological and semantic relationships and spatial queries. 3D GIS makes possible the creation of threedimensional model in a geospatial context. To promote the interoperability of GIS data, the present research aims first to analyse methods of conversion in CityGML and IndoorGML model, defining an ontological domain. This has led to the creation of a new enriched model, based on connections among the different elements of the urban model in GIS environment, and to the possibility to formulate queries based on these relations. The second step consists in collecting all data translated into a specific format that fill a graph database in a semantic web environment, while maintaining those relationships. The semantic web technology represents an efficient tool of interoperability that leaves open the possibility to import BIM data in the same graph database and to join both GIS and BIM models. The outcome will offer substantial benefits during the entire project life cycle. This methodology can also be applied to cultural heritage where the information management plays a key role.

Onshore or offshore renewable energy helps to obtain energy in a sustainable manner. However, the deployment of both alternatives can damage the environment with different kind of impacts. For this reason, the place to construct these infrastructures must take into account all related impacts. In this way, Decision Support Systems (DSS) are useful tools. In this paper, a methodology to introduce a visual impact indicator into a DSS for the Environmental Impact Assessment of Offshore Renewable Energy (AMBEMAR) is shown. This DSS is also described. This methodology is adjusted to DSS requirements and flexible to any study case. The result is one visual impact index calculated through a multicriteria analysis that can be used to compare different cases. This methodology is applied to a study case located in the coast in front of Cantabria region (Spain). Two hypothesis of wind farms and other two possible locations for its electric transforming substations are analysed from visual impact point of view. The method shows that furthest wind farm has the lowest impact but indices have a slight variation in both cases