Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (5): 114-117.
• 数据库、信号与信息处理 • Previous Articles Next Articles
SONG Jia,WANG Juanle,ZHU Yunqiang,FENG Min
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宋 佳,王卷乐,诸云强,冯 敏
Abstract: Semantic relevancy is the key basis for sorting results of semantic retrieval order by relevance.Oriented semantic spatial retrieval in GIS,an algorithm of semantic relevancy based on the spatio-ontology and the theory of spatial topology on geo-information science is proposed.The integration of literal relevance and semantic relevancy is considered in this algorithm.And the mechanism of the weight of ontology relationship is adopted for controlling the ontologies relevance in different semantic retrieval applications.The algorithm of semantic relevancy taking great effect in semantic spatial retrieval is proved by experiment.At the same time,the algorithm also provides good reference value for application in other fields.
Key words: semantic relevancy, semantic retrieval, ontology, spatial query, semantic distance
摘要: 以地理信息领域为应用背景,面向地理空间语义检索,基于地球信息科学中的空间拓扑理论,以空间本体为语义检索的概念空间,提出了一种语义相关度的算法。其特点是考虑了传统字面匹配相关度与语义关系相关度两部分的融合,同时引入了本体关系权值的机制控制在不同语义检索应用中本体的关联程度,并体现了其与语义距离的反比关系。通过所作的相关实验,验证了该语义相关度算法在地理空间语义检索应用中可以达到良好的效果,并且也为其他领域应用提供了较好的参考和借鉴价值。
关键词: 语义相关度, 语义检索, 本体, 空间查询, 语义距离
SONG Jia,WANG Juanle,ZHU Yunqiang,FENG Min. Research on relevancy for semantic retrieval based on geographic spatio-ontology[J]. Computer Engineering and Applications, 2011, 47(5): 114-117.
宋 佳,王卷乐,诸云强,冯 敏. 基于地理空间本体的语义检索相关度研究[J]. 计算机工程与应用, 2011, 47(5): 114-117.
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http://cea.ceaj.org/EN/Y2011/V47/I5/114