计算机工程与应用2017，Vol.53Issue(24)：15-22,8.DOI:10.3778/j.issn.1002-8331.1710-0233
基于co-location模式和本体的地址选择算法
Co-location-based site selection using ontologies
摘要
Abstract
Site selection is one of the most crucial decisions made by any business. The existing approaches for site selec-tion(commonly used by economists)are subjective, not scalable. Spatial co-location patterns represent the subsets of spa-tial features whose instances are frequently located together in geographic space. Thus, a novel method for site selection based on co-locations is proposed using the"symbiotic"characteristics among spatial features in co-locations. This method uses ontologies to classify the input data effectively, and then performs a co-location mining on the certain POI given by the user based on ontologies, the result co-location patterns are then used to conduct the method to give the final site rec-ommendation in a certain location specified by the user, meanwhile, several strategies are performed in data pre-processing in order to improve the effectiveness of the proposed method. To assess the effectiveness of the presented method, it is evaluated on a real data(collected from Points of Interests in Beijing). Evaluation results show that the proposed method has high accuracy ratio, which means high reliability in site selection.关键词
空间模式挖掘/co-location模式/本体/地址选择Key words
spatial data mining/co-location pattern/ontology/site selection分类
信息技术与安全科学引用本文复制引用
包旭光,王丽珍,陈红梅..基于co-location模式和本体的地址选择算法[J].计算机工程与应用,2017,53(24):15-22,8.基金项目
国家自然科学基金(No.61472346,No.61662086) （No.61472346,No.61662086）
云南省自然科学基金(No.2016FA026,No.2015FB114) （No.2016FA026,No.2015FB114）
云南省高校谱传感与边疆无线电安全重点实验室资助项目(No.C6165903). （No.C6165903）
