论文标题
将与地方有关的问题转换为GeoSparql查询
Translating Place-Related Questions to GeoSPARQL Queries
论文作者
论文摘要
许多与地方相关的问题只能通过复杂的空间推理来回答，这一任务受到Factoid问题检索的支持很差。在链接的数据知识库中，使用与位置相关问题有关的空间和非空间标准的组合的这种推理越来越有可能。但是，要根据链接的知识基础启用问题回答，必须首先将自然语言问题重新构建为正式查询。在这里，我们首先提出了Yago2Geo的增强版本，该版本是Yago2知识库的地理学启用变体，通过将OpenStreetMap数据中的超过100万个位置链接到Yago2，并添加了超过100万个位置。然后，我们提出了一种新颖的方法，将与地点相关的问题转化为逻辑表示，理论上基于空间信息的核心概念。接下来，我们使用基于动态模板的方法来生成从逻辑表示的完全可执行的GeoSparql查询。我们使用地理空间黄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。
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.
