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4CitySemantics: GIS-semantic tool for urban intervention areas

We present 4CitySemantics, a computational tool for City Planning. The main objective of this tool is to assist the participants of the urban development process in constructing adequate interpretations of a defined intervention site and its surrounding area (buffer), thereby contributing for better planning. The function of 4CitySemantics is to identify and classify both geographically and semantically the urban areas subjected to the intervention, which can be visualized. The key principle behind the tool is to offer the user as much flexibility as possible, so that s/he can develop customized semantic interpretations of the intervention areas in order to formulate an adequate intervention program. Such flexibility is achieved through the ample use of customizable ontologies for interpreting population and land use data, separating urban knowledge from the application tool, which can easily adapt to different urban semantic standards. By using the functionalities of the tool backed by the customizable ontologies, the urban planner can define a workflow to identify on a map a set of geo-referenced parcels belonging to the intervention areas and annotate them with semantic data regarding the use of the land. He can also annotate the intervention area with information regarding the type and size of its population. 4CitySemantics can also import data already semantically annotated, and that is ready for visualization.Over the past few years, we have assisted to the development of the next generation Internet. The Semantic Web [1] is an extension of the current web, and while preserving the web characteristics, namely, it is open and decentralized, it offers new technology to make data on the web machine-interpretable, based on a powerful mechanism: inference. Knowledge in the semantic web is represented by ontologies, which are semantic formal models describing the relevant concepts, the relationships between concepts, and the constraints among them. The inference mechanism and the distributed and open characteristics are arguments enough to motivate and justify the use of urban ontologies for the Semantic Web. They can be shared, reused and