Geospatial Information semantic retrieval algorithm Research based on geo-ontology

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 ldquoOcean Grid Portalrdquo, the retrieval results demonstrate the feasibility and effectiveness of the semantic similarity degree retrieval algorithm.