A Synergistic Framework for Geographic Question Answering
A Synergistic Framework for Geographic Question Answering
复制标题
地理问答的协同框架
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
D. Sui
中科院分区：
文献类型：
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作者：
Wei Chen;E. Fosler;N. Xiao;Satyajeet Raje;R. Ramnath;D. Sui
用于回答深入的地理问题的QA（问答）系统需求很高，但并不十分可用。以前的研究已经访问了QA系统的各个方面，但很少有协同框架已经提出。本文探讨了地理问题的形成的性质，并观察其独特的语言结构，可以语义转化为一个空间查询。我们创建了一个新的任务，解决不平凡的问题，使用GIS（地理信息系统）和相关的语料库进行测试。提出了一种动态规划分类算法和投票验证算法。两种类型的本体集成的消歧和歧视的空间术语。PostGIS作为GIS后端，为空间推理提供领域专业知识。实验结果表明，该系统能够快速、准确地返回问题的答案。对比分类结果表明，与基线分类结果相比，分类精度得到了提高，证明了所提方法的有效性。
QA (question answering) systems designated for answering in-depth geographic questions are highly demanded but not quite available. Previous research has visited various individual aspects of a QA system but few synergistic frameworks have been proposed. This paper investigates the nature of geographic question formation and observes their unique linguistic structures that can be semantically translated into a spatial query. We create a new task of solving non-trivial questions using GIS (Geographic Information System) and test it with an associated corpus. A dynamic programming algorithm is developed for classification and voting algorithm for verification. Two types of ontologies are integrated for disambiguating and discriminating spatial terms. PostGIS serves as the GIS backend to provide domain expertise for spatial reasoning. Results show that exact answers can be returned quickly and correctly by our system. Contrast classification results in improved accuracy compared with the baseline which proves the effectiveness of proposed methods.