Various models have been developed to manage geographic data but most of them integrate heterogeneous techniques to support knowledge representation and reasoning This is far from optimal because it requires mapping data between different representation formats; moreover, as it fragments knowledge, it limits the possibility to use complete information about the problem to be solved for the execution of inferences

A Semantic Approach to Constraint-Based Reasoning in Geographical Domains

This paper presents a visualization model supporting the map-based presentation of environmental data about geographic areas. Our model is based on the evaluation of the ecological aspects of a landscape and on the dynamic generation of a layer that shows the levels of naturality, the land use, and other similar characteristics, of the area in focus. We propose this model as an extension of the information that can be provided by a mobile guide with the aim to support the exploration of Natural Heritage by making users aware of the richness and weaknesses of the places they visit and raising the attention towards biodiversity and environment preservation, which are key to green tourism.

Integration of Cultural and Natural Heritage Information in Future Mobile Guides

Ontological Representation of Constraints for Geographical Reasoning

Ecological Networks (ENs) describe the structure of existing real ecosystems and help planning their expansion, conservation and improvement. While various mathematical models of ENs have been defined, to our knowledge they focus on simulating ecosystems, but none of them deals with verifying whether any transformation proposals, as those collected in participatory decision-making processes for public policy making, are consistent with land usage restrictions.

Marco Corona

Papers

GeCoLan: A Constraint Language for Reasoning About Ecological Networks in the Semantic Web

Ontological Representation of Constraints for Geographical Reasoning