ABSTRACT

Nowadays, geospatial information plays a critical role. Searching and obtaining geospatial information, however, is a difficult and time-consuming task. The Semantic Web promises to facilitate this by improving the capability to search for information by better expressing the meaning of search queries. Combining the two approaches to create a Geospatial Semantic Web is an idea that is gaining acceptance in both areas. Here, we present a prototype that promises to prove that the meshing of these two areas is a promising field in conjunction with information retrieval and ubiquitous computing. The aim of this prototype is to exploit geospatial semantic information retrieved from multiple data sources in a mobile environment. Our prototype uses three geospatial data sources: GeoNames, LinkedGeoData, and DBpedia. Experimental results show how the merging of the geospatial data sources and the use of more than one level of indexing is more effective in terms of recall and precision.