面向关联开放数据云的环境时空本体

Ahsan Morshed, J. Aryal, R. Dutta
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引用次数: 12

摘要

传感器技术的快速应用为验证时空数据提供了机遇和挑战。可以通过开发相关的本体来确保身份验证。本体明确指定共享的概念化和形式化词汇表。本文提出了一种基于统一资源描述框架(RDF)和智能环境知识库(i-EKbase)推荐系统的环境时空本体(ESTO)。考虑了SILO、AWAP、ASRIS、CosmOz和MODIS五种不同的环境数据源,开发了集成知识的i-EKbase。该推荐系统是在基于web的大规模动态数据挖掘、上下文知识抽取和集成知识表示的基础上建立起来的。为了优化与大数据集相关的可访问性和可用性问题,并最大限度地降低总体应用成本,对提议的ESTO进行了测试。RDF表示使得该本体非常灵活,可以在关联开放数据云环境下发布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Environmental Spatio-temporal Ontology for the Linked Open Data Cloud
The rapid access of sensor technology provides both challenges and opportunities to authenticated spatiotemporal data. Authentication can be assured by developing related ontologies. Ontology explicitly specifies shared conceptualization and formal vocabularies. In this paper, we proposed an environmental spatio-temporal ontology (ESTO) using unified resource description framework (RDF) and Intelligent Environmental Knowledgebase (i-EKbase) recommendation system. Five different environmental data sources namely SILO, AWAP, ASRIS, CosmOz, and MODIS were considered to develop i-EKbase where knowledge was integrated. The recommendation system was founded on web based large scale dynamic data mining, contextual knowledge extraction, and integrated knowledge representation. The proposed ESTO was tested for optimization of the accessibility and usability issues related to big data sets and minimize the overall application costs. RDF representation made this ontology very flexible to publish on Linked Open Data Cloud environment.
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