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.
翻译:许多与地点有关的问题只能通过复杂的空间推理来解答,这项任务没有得到事实问题检索的有力支持。这种将空间标准和非空间标准相结合的推理在与地点有关的问题上越来越有可能在相联的数据知识库中找到。然而,为了能够根据链接的知识库回答问题,自然语言问题必须首先重新表述为正式查询。在这里,我们首先展示了YAGO2geo的强化版本,YAGO2知识库的地理功能变异版本,将OpenStreetMap数据中的100多万个位置与YAGO2连接起来,并增加了100多万位位置。我们随后提出了将与地点有关的问题转化为逻辑表述的新办法,理论上以空间信息的核心概念为基础。接下来,我们使用动态模板法从逻辑表述中生成完全可执行的GeoSPARQL查询。我们用地理空间金标准数据集测试我们的方法,并报告对现有方法的实质性改进。