Laura Spinsanti

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The collection of huge amount of tracking data made possible by the widespread use of GPS devices, enabled the analysis of such data for several applications domains, ranging from traffic management to advertisement and social studies. However, the raw positioning data, as it is detected by GPS devices, lacks of semantic information since this data does not(More)
The last few years have seen a growing interest in approaches that define methodologies to automatically extract semantics from databases by using ontologies. Geographic data are very rarely collected in a well organized way, quite often they lack both metadata and conceptual schema. Extracting semantic information from data stored in a geodatabase is(More)
Turning a collection of simple time-geography data into mobility knowledgeis a key issue in many research domains, such as social analysis and mobility investigation. Although collecting mobility data has become technologically feasible, turning these huge sets of data into mobility knowledge is still an open issue. Data warehousing is a well-established(More)
The rationale for the research is that new social media platforms change the way people create and use information during crisis events (Sutton, Palen, and Jeannette Shklovski 2008; Hughes et al. 2008). These social media platforms increasingly offer to include geographic information on the whereabouts of their users. These location-based mobile social(More)
In this paper we present an original approach to natural language query interpretation which has been implemented within the FuLL (Fuzzy Logic and Language) Italian project of BC S.r.l. In particular, we discuss here the creation of linguistic and ontological resources, together with the exploitation of existing ones, for natural language-driven database(More)
The increasing availability of people traces collected by portable devices poses new possibilities and challenges for the study of people mobile behaviour. However, the raw data produced by such portable devices is poor from a semantic point of view, thus the gap between the person’s activity and the raw collected data generated by the activity is still too(More)