An Intelligent Bay Geo-information Retrieval Approach based on Geo-ontology
文献类型:会议论文
作者 | Xiao R. L. ; Du Y. Y. ; Liu W. ; He Y. W. |
出版日期 | 2009 |
关键词 | Geo-Ontology Information Retrieva Bay Geo-Information System principles |
页码 | 29-34 |
英文摘要 | In the era of information explosion, information retrieval has become a bottleneck in information sharing and integration. However currently, the existing information retrieval methods are mainly based on keyword matching, which can not fully take advantage of the information context and potential knowledge. All of these methods are particularly inefficient as to geospatial information which is more complex and unstructured. Nevertheless, geospatial ontology (Geo-ontology) has been used to enrich geospatial objects with semantic information which could be very helpful in the geospatial information retrieval and integration. And there is a wealth of relations between objects (such as the relation between bay and the inter-tidal zone) in bay field. Thus in this paper, an intelligent bay geo-information retrieval approach based on bay geo-information ontology has been proposed. Firstly, the procedure of establishing the bay geo-information ontology database is introduced. Secondly, both the intelligent retrieval mechanism and approach in bay geo-information are expatiated, which are used to convert the user retrievals request to semantic request and map the semantic request to concrete query of actual data source by adopting the knowledge that 's explicitly expressed in formal ontology modeling language (OWL). Finally, the method was applied in the bay information management system, and the feasibility and efficacy of the geo-information retrieval approach is well verified. |
收录类别 | CPCI |
会议录出版者 | Ieee |
语种 | 英语 |
ISBN号 | 978-1-4244-4562-2 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/25335] ![]() |
专题 | 地理科学与资源研究所_历年回溯文献 |
推荐引用方式 GB/T 7714 | Xiao R. L.,Du Y. Y.,Liu W.,et al. An Intelligent Bay Geo-information Retrieval Approach based on Geo-ontology[C]. 见:. |
入库方式: OAI收割
来源:地理科学与资源研究所
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