| An intelligent bay Geo-information retrieval approach based on Geo-ontology | |
| Xiao,Rulin ; Liu,Wei ; Du,Yunyan ; He,Yawen | |
| 通讯作者 | Xiao,R. |
| 2009 | |
| 会议名称 | 2009 17th International Conference on Geoinformatics, Geoinformatics 2009 |
| 会议日期 | 2009-08-12 |
| ISBN号 | ISBN-13:9781424445639 |
| 产权排序 | (1) Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; (2) School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, 221116, China; (3) Yantai Institute of Coastal Zone Research for Sustainable Development, Chinese Academy of Science, Yantai, 264003, China |
| 关键词 | Information Management - Information Retrieval - Information Services - Information Systems - Management Information Systems - Ontology - Query Languages - Semantics |
| 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. |
| 作者部门 | 信息集成与应用实验室 |
| 学科领域 | 地理学 |
| URL | 查看原文 |
| 语种 | 英语 |
| 文献类型 | 会议论文 |
| 条目标识符 | http://ir.yic.ac.cn/handle/133337/4729 |
| 专题 | 中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心 |
| 推荐引用方式 GB/T 7714 | Xiao,Rulin,Liu,Wei,Du,Yunyan,et al. An intelligent bay Geo-information retrieval approach based on Geo-ontology[C]:IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States,2009. |
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