Stefano De Sabbata

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The relevance of geographic information has become an emerging problem in geographic information science due to an enormous increase in volumes of data at high spatial, temporal, and semantic resolution, because of ever faster rates of new data capturing. At the same time, it is not clear whether the concept of relevance developed in information science and(More)
Geographic information is increasingly used in mobile contexts. Mobility constrains several aspects of this mobile usage, such as limited screen estate, number of desired interactions, or availability due to battery time. As a consequence designers and developers of mobile geographic applications strive to reduce the amount of information delivered to users(More)
The selection and retrieval of relevant information from the information universe on the web is becoming increasingly important in addressing information overload. It has also been recognized that geography is an important criterion of relevance, leading to the research area of geographic information retrieval. As users increasingly retrieve information in(More)
Geographic relevance aims to assess the relevance of physical entities (e.g., shops and museums) in geographic space for a mobile user in a given context, thereby shifting the focus from the digital world (the realm of classical information retrieval) to the physical world. We study the elicitation of geographic relevance criteria by means of both a(More)
Article history: Received 21 September 2016 Received in revised form 28 January 2017 Accepted 13 March 2017 Available online xxxx Gazetteers are important tools used in a wide variety of workflows that depend on linking natural language text to geographical space. The spatial properties of these data sources, such as coverage, balance, and completeness,(More)
Wikipedia is one of the largest platforms based on the concept of asynchronous, distributed, collaborative work. A systematic collaborative exploration and assessment of Wikipedia content and coverage is however still largely missing. On the one hand editors routinely perform quality and coverage control of individual articles, while on the other hand(More)
This paper demonstrates the use of fuzzy clustering to characterize Volunteered Geographic Information (VGI). We argue that classifying small areas based on variables related to the amount, type, and currency of VGI can provide a more nuanced understanding of the content. We present a classification of 2011 UK Census Output Areas in Leicestershire (UK)(More)
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