The increasing number of cyber incidents that critical infrastructures are experimenting is pushing for developing situation awareness systems that exploits geographical data about the network under control. This poster describes the Visual Analytics solution that is under development in the European project PANOPTESEC [6] for monitoring the ACEA (an Italian organization that provides power to ...

Geographical databases are often incomplete, especially when built up incrementally and by volunteers. A prominent example is OpenStreetMap. Often such databases contain also metadata saying that certain features are completely captured for certain areas. We show how to use such metadata to analyse in which areas queries return a complete answer. Such “completeness areas” can be computed via st...

This paper reports an experience in which a temporal database was used to analyze the results of a survey on human behaviors and displacements in a ski resort. This survey was part of a broader study about the use of the resort’s infrastructure, based on the time-geography methodology. As such, the presented experience may be seen as an attempt to implement some concepts of the time-geography u...

GML is a promising model for integrating geodata within data warehouses. The resulting databases are generally large and require spatial operators to be handled. Depending on the size of the target geographical data and the number and complexity of operators in a query, the processing time may quickly become prohibitive. To optimize spatial queries over GML encoded data, this paper introduces a...

We present a study in which we seek to interpret spatial references that are part of in-situ route descriptions. Our aim is to resolve these references to actual entities and places in the city using a crowdsourced geographic database (OpenStreetMap). We discuss the problems related to this task, and present a possible automatic reference resolution method that can find the correct referent in ...