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In this paper, we address the assignment of semantics to places. The approach followed consists on leveraging from web online resources that are directly or indirectly related to places as well as from the integration with lexical and semantic frameworks such as Wordnet or Semantic Web ontologies. We argue for the wide applicability and validity of this approach to the area of Ubiquitous Computing,...
This paper is about automatic tagging of urban areas considering its constituent Points of Interest. First, our approach geographically clusters places that offer similar services in the same generic category (e.g. Food & Dining; Entertainment & Arts) in order to identify specialized zones in the urban context. Then, these places are analysed and tagged from available information sources on...
During the last few years, the amount of online descriptive information about places has reached reasonable dimensions for many cities in the world. Being such information mostly in Natural Language text, Information Extraction techniques are needed for obtaining the meaning of places that underlies these massive amounts of commonsense and user made sources. In this article, we show how we automatically...
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