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%).