Infrastructure Engineering - Research Publications

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Start date: 2020 × Author: Winter, Stephan × Type: Conference Paper ×

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    Translating Place-Related Questions to GeoSPARQL Queries
    Hamzei, E ; Tomko, M ; Winter, S (ASSOC COMPUTING MACHINERY, 2022)
    Many place-related questions can only be answered by complex spatial reasoning, a task poorly supported by factoid question retrieval. Such reasoning using combinations of spatial and non-spatial criteria pertinent to place-related questions is increasingly possible on linked data knowledge bases. Yet, to enable question answering based on linked knowledge bases, natural language questions must first be re-formulated as formal queries. Here, we first present an enhanced version of YAGO2geo, the geospatially-enabled variant of the YAGO2 knowledge base, by linking and adding more than one million places from OpenStreetMap data to YAGO2. We then propose a novel approach to translate the place-related questions into logical representations, theoretically grounded in the core concepts of spatial information. Next, we use a dynamic template-based approach to generate fully executable GeoSPARQL queries from the logical representations. We test our approach using the Geospatial Gold Standard dataset and report substantial improvements over existing methods.
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    A Multi-Camera Tracker for Monitoring Pedestrians in Enclosed Environments
    Wu, X ; Winter, S ; Khoshelham, K ; Alamaniotis, M ; Pan, S (IEEE, 2020)
    Multi-camera pedestrians tracking is a challenging computer vision task. We propose a multi-camera tracker for monitoring pedestrians in an enclosed shopping environment. We assess the performance of the multi-camera tracker in a case study, tracking customers in a food and speciality market hall. Our multi-camera tracker tracks customers' walking between the stalls in the market. The information is useful for market management, visitor safety, and other potential application areas.
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    Place questions and human-generated answers: A data analysis approach
    Hamzei, E ; Li, H ; Vasardani, M ; Baldwin, T ; Winter, S ; Tomko, M ; Kyriakidis, P ; Hadjimitsis, D ; Skarlatos, D ; Mansourian, A (Springer, Cham, 2020-01-01)
    This paper investigates place-related questions submitted to search systems and their human-generated answers. Place-based search is motivated by the need to identify places matching some criteria, to identify them in space or relative to other places, or to characterize the qualities of such places. Human place-related questions have thus far been insufficiently studied and differ strongly from typical keyword queries. They thus challenge today’s search engines providing only rudimentary geographic information retrieval support. We undertake an analysis of the patterns in place-based questions using a large-scale dataset of questions/answers, MS MARCO V2.1. The results of this study reveal patterns that can inform the design of conversational search systems and in-situ assistance systems, such as autonomous vehicles.