Abstract:

ing at the situation that previous toponym resolution researches largely lack theoretical basis and a general formal way, a concept of geo-relevance based on Tobler’s Frist Law is proposed to formalize vicinity among geographic entities. Then a toponym resolution computing model based on dempster-shafer (D-S) theory is proposed to represent and combine co-occurring toponym evidences in context. The cognitive process of human reading and understanding spatiotemporal semantics in text are simulated by D-S theory, while a general and scalable formal framework for toponym resolution is provided. Finally, an experiment evaluation is given with a good result of F1 value (89.60%).

Key words: geographic information retrieval, toponym resolution, geo-relevance, dempster-shafer theory

摘要：

针对目前地名消歧方法普遍缺乏理论基础和统一形式化方法的现状, 以地理学第一定律为理论基础, 使用地理关联度形式化地理实体之间的邻近性。在此基础上, 提出基于证据理论的地名消歧计算模型, 用于表示与合成上下文中共现的地名证据。该模型模拟人类阅读和理解文本中时空语义的认知过程, 并为地名消歧处理提供一个统一的易扩展的形式化框架。最后, 给出本文地名消歧方法的实现算法及其实验评估。结果显示, 算法综合性能指标F1达到89.60%, 取得较好的实验效果。

关键词: 地理信息检索(GIR), 地名消歧, 地理关联度, 证据理论