Abstract | ||
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ABSTRACT 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. |
Year | DOI | Venue |
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2022 | 10.1145/3485447.3511933 | International World Wide Web Conference |
Keywords | DocType | ISSN |
geographic question answering, place-based search, query generation, geospatial knowledge bases | Conference | In Proceedings of the ACM Web Conference 2022 (WWW '22) |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
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Ehsan Habib Feroz | 1 | 23 | 3.72 |
Martin Tomko | 2 | 8 | 4.21 |
Stephan Winter | 3 | 643 | 45.20 |