Making sense of location context
Ana Flávia Elói da Silva Alves, Francisco C. Pereira · 2012
This paper presents a generic model for Semantic Enrichment of Location Context where the main attributes of places are described by tags. These tags are automatically extracted by applying natural language processing and information extraction techniques that have been thoroughly applied and tested using the World Wide Web as the primary source. Here, we are particularly focused on extracting information that allows an external system to distinguish one place from other places that are spatially or conceptually close. This is because the meaning of a place is a function of its most salient features, present in the textual descriptions found in online resources about that place. In the situation under investigation, places correspond to Points-of-Interest (POIs), as these are abundant on the Web. The applicability of such model is demonstrated through its implementation over real collected POIs. As an illustrative output of the system, a set of examples is also presented.