Ontology based framework for semantic resolution of geospatial query

机译：基于本体的地理空间查询语义解析框架

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Increasing availability of geospatial data provides exceptional opportunities in knowledge creation and distribution. For the discovery of suitable data sources, keyword based search in the catalogue becomes inaccurate. The main reason behind this is the existing semantic heterogeneity in the database schema, deployed by different service providers. It necessitates the semantic management of the spatial catalogues. This paper presents an ontology based approach which is useful to create and manage catalogues semantically, hence resolving the semantic heterogeneity between geospatial repositories and incompatibility with spatial queries. Further, there is no standard available for semantic searching of the spatial catalogue till date. It will enhance the data extraction process by providing semantic meaning to the spatial catalogue.

机译：地理空间数据可用性的提高为知识创造和传播提供了难得的机会。为了发现合适的数据源，目录中基于关键字的搜索变得不准确。其背后的主要原因是数据库架构中现有的语义异构性，由不同的服务提供商部署。它需要对空间目录进行语义管理。本文提出了一种基于本体的方法，该方法可用于在语义上创建和管理目录，从而解决地理空间存储库之间的语义异质性以及与空间查询的不兼容性。此外，到目前为止，尚无可用于空间目录语义搜索的标准。通过为空间目录提供语义含义，它将增强数据提取过程。

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来源
《2012 12th International Conference on Intelligent Systems Design and Applications.》|2012年|p.437-442|共6页
会议地点 Kochi(IN);Kochi(IN)
作者
Bhattacharjee Shrutilipi; Prasad Rendhir R.; Dwivedi Akash; Dasgupta Arindam; Ghosh Soumya K.;
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作者单位

School of Information Technology, Indian Institute of Technology, Kharagpur, India, 721302;

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会议组织
原文格式 PDF
正文语种 eng
中图分类人工智能理论;人工智能理论;
关键词
Description Logic; Geographic Information System; Ontology; Semantic Heterogeneity;

机译：描述逻辑地理信息系统本体语义异质性;

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1. A Framework for Semi Semantic Ontology Based Document Clustering in Geospatial Domain [J] . Jian Shen, Dapeng Man, Wu Yang International journal of computational intelligence research . 2018,第9期

机译：地理空间域中基于半语义本体的文档聚类框架
2. Ontology Driven Cross-Linked Domain Data Integration and Spatial Semantic Multi Criteria Query System for Geospatial Public Health [J] . Sunitha Abburu International journal on Semantic Web and information systems . 2018,第3期

机译：本体在地理空间公共健康方面驱动交联域数据集成和空间语义多标准查询系统
3. Information Content of Very-High-Resolution SAR Images: Semantics, Geospatial Context, and Ontologies [J] . Dumitru Corneliu Octavian, Cui Shiyong, Schwarz Gottfried, Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of . 2015,第4期

机译：高分辨率SAR图像的信息内容：语义，地理空间背景和本体
4. Ontology based framework for semantic resolution of geospatial query [C] . Bhattacharjee Shrutilipi, Prasad Rendhir R., Dwivedi Akash, International Conference on Intelligent Systems Design and Applications . 2012

机译：基于本体的地理空间查询语义分辨率的框架框架
5. DAGIS: Automatic discovery of annotated Geospatial Information Services Framework for geospatial Semantic Web. [D] . Subbiah, Ganesh. 2007

机译：DAGIS：自动发现用于地理空间语义Web的带注释的地理空间信息服务框架。
6. A new method to measure the semantic similarity from query phenotypic abnormalities to diseases based on the human phenotype ontology [O] . Xiaofeng Gong, Jianping Jiang, Zhongqu Duan, 2018

机译：基于人类表型本体的从查询表型异常到疾病的语义相似度度量新方法
7. Information Content of Very-High-Resolution SAR Images: Semantics, Geospatial Context, and Ontologies [O] . Corneliu Octavian Dumitru, Shiyong Cui, Gottfried Schwarz, 2015

机译：非常高分辨率SAR图像的信息内容：语义，地理空间上下文和本体

Ontology based framework for semantic resolution of geospatial query

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