Fuzzy representation of vague spatial descriptions in real estate advertisements

International audienceGeocoding a spatial description is challenging since vernacular place names and vague spatial expressions give uncertainty and ambiguity to the description. Usually, digital gazetteers are used to match geospatial objects to their boundaries. However, gazetteers do not contain all places. Therefore, a number of studies have proposed to enrich gazetteers by estimating and representing the vernacular places. Nevertheless, only a few approaches have taken into account vague spatial expressions such as "nearby", and have represented geospatial objects as sharp boundaries. In this work, we present an automatic workflow to retrieve a location approximation of vague spatial description. We propose a model to estimate a fuzzy representation of each mentioned geospatial information and spatial expressions. Then, we perform information fusion to find a location approximation of a property. Lastly, we demonstrate our proposed method by applying it to the case of French Real Estate advertisements with two real-world datasets in Nice and Paris. Real Estate advertisements allow us to deal with uncertain geospatial objects since a vague and exaggerated property location's description is usually provided. Our results show that our proposed method is promising and able to correctly approximate a location from uncertain spatial descriptions

Mid-Term Report 2019–2022

With the Midterm Report of the Cluster of Excellence “ROOTS - Social, Environmental, and Cultural Connectivity in Past Societies”, we inform you about the first years of the cluster established in 2019. The Midterm Report was prepared under the special conditions of the last pandemic and thus under extraordinary circumstances, which also applies to the first years of our research. Above all, the report gives you a broad impression of the new and interesting research activities of the cluster, which have developed in many ways in our research space. The joint research on past societies is determined by excavations, laboratory work, archival studies and source interpretations. The diversity of the archives – from soil sediments to human skeletons and from architecture to written evidence – is targeted in our six subclusters. Reconstructing the ROOTS of hazards, diet, knowledge, urbanity, inequality, and conflict and conciliation took us to different areas of the world and very different laboratory depths. The joint research on connectivity started from the basic hypothesis that the degree of connectivity within and between societies, but also between societies and the environment, is crucial for the possibilities to develop resilient and sustainable structures. This is where past societies and environments provide us with a mirror for current and future developments

LIPIcs, Volume 244, ESA 2022, Complete Volume

LIPIcs, Volume 244, ESA 2022, Complete Volum