کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4965437 1448286 2017 24 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Grid workflow validation using ontology-based tacit knowledge: A case study for quantitative remote sensing applications
ترجمه فارسی عنوان
اعتبارسنجی گردش کار شبکه با استفاده از دانش مبتنی بر هستی شناختی: یک مطالعه موردی برای برنامه های سنجش از راه دور کمی
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی
Workflow for remote sensing quantitative retrieval is the “bridge” between Grid services and Grid-enabled application of remote sensing quantitative retrieval. Workflow averts low-level implementation details of the Grid and hence enables users to focus on higher levels of application. The workflow for remote sensing quantitative retrieval plays an important role in remote sensing Grid and Cloud computing services, which can support the modelling, construction and implementation of large-scale complicated applications of remote sensing science. The validation of workflow is important in order to support the large-scale sophisticated scientific computation processes with enhanced performance and to minimize potential waste of time and resources. To research the semantic correctness of user-defined workflows, in this paper, we propose a workflow validation method based on tacit knowledge research in the remote sensing domain. We first discuss the remote sensing model and metadata. Through detailed analysis, we then discuss the method of extracting the domain tacit knowledge and expressing the knowledge with ontology. Additionally, we construct the domain ontology with Protégé. Through our experimental study, we verify the validity of this method in two ways, namely data source consistency error validation and parameters matching error validation.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Geosciences - Volume 98, January 2017, Pages 46-54
نویسندگان
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