کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4961833 1446519 2016 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An Ontology-based Knowledge Modelling Approach for River Water Quality Monitoring and Assessment
ترجمه فارسی عنوان
یک روش مدل سازی دانش مبتنی بر هستی شناسی برای نظارت و ارزیابی کیفیت آب رودخانه
کلمات کلیدی
کیفیت آب، نظارت بر، مدل سازی هستی شناسی، ارزیابی، پشتیبانی تصمیم
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
چکیده انگلیسی

The increasingly deterioration of the water environment has attracted attention in water quality monitoring area, most researchers focus on the acquisition of water quality data but seldom the assessment and decision support for water quality. This paper proposed an approach for ontology modelling which could be used in evaluating the river water quality and its relevant processing knowledge. Ontology can describe the objective world better with its own syntax and provides the general understanding of the specialized knowledge in a domain. The ontology model built in this paper is specially designed for river water quality monitoring to represent the river water quality data with semantic properties and build the semantic relevance among the different concepts involved in river water quality monitoring domain. Combining the ontology model with a comprehensive water quality assessment method, the water quality assessment information could be achieved through the analysing and reasoning. On that basis, suggested treatments for solving the river water quality problems which could be easily understood are achieved with the ontology model and the inference rules built in the ontology reasoner. The accuracy and reliability of the system was verified by the analysis of five sets of sample water.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Computer Science - Volume 96, 2016, Pages 335-344
نویسندگان
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