Geospatial Information semantic retrieval algorithm Research based on geo-ontology

Wei Liu, Yunyan Du, Rulin Xiao
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引用次数: 1

Abstract

spatial information retrieval which is mainly catalog service based on metadata is the foundation of spatial information sharing. Today's information retrieval methods in catalog service are typically limited to keyword searches or matches of sub-strings, which do not meet user's retrieval demand. This paper presents a semantic similarity degree algorithm, in which geo-ontology is compared from concept of the hierarchical structure similarity degree and property similarity degree to adjust the relations of concept. Firstly, overall evaluating the geo-ontology concept hierarchical structure similarity degree and attribute similarity degree; secondly, the semantic similarity degree was calculated as the basis for spatial information retrieval; In the end, the retrieval algorithm was applied in the “Ocean Grid Portal”, the retrieval results demonstrate the feasibility and effectiveness of the semantic similarity degree retrieval algorithm.
基于地理本体的地理空间信息语义检索算法研究
空间信息检索是实现空间信息共享的基础,主要是基于元数据的目录服务。目前目录服务中的信息检索方法通常局限于关键字搜索或子字符串匹配,不能满足用户的检索需求。本文提出了一种语义相似度算法,该算法从层次结构的概念相似度和属性相似度两个方面对地理本体进行比较,调整概念之间的关系。首先,综合评价地质本体概念层次结构相似度和属性相似度;其次,计算语义相似度作为空间信息检索的基础;最后,将该检索算法应用于“海洋网格门户”,检索结果验证了语义相似度检索算法的可行性和有效性。
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