SDQO AND SFO, ONTOLOGIES FOR SPATIAL DATA QUALITY ASSESSMENT
نویسندگان
چکیده
منابع مشابه
Study of Spatial Data Quality Elements and VGI Linear Data Quality Assessment Methods
Volunteered Geographic Information has provided a rich and valuable resource for spatial data in a variety of applications. Despite the many benefits, this information does not provide any guarantee for their quality. So far, there are several methods to determine the quality of VGI. In addition to introducing quality elements and their evaluation methods, the present study attempts to explore ...
متن کاملdiagnostic and developmental potentials of dynamic assessment for writing skill
این پایان نامه بدنبال بررسی کاربرد ارزیابی مستمر در یک محیط یادگیری زبان دوم از طریق طرح چهار سوال تحقیق زیر بود: (1) درک توانایی های فراگیران زمانیکه که از طریق برآورد عملکرد مستقل آنها امکان پذیر نباشد اما در طول جلسات ارزیابی مستمر مشخص شوند; (2) امکان تقویت توانایی های فراگیران از طریق ارزیابی مستمر; (3) سودمندی ارزیابی مستمر در هدایت آموزش فردی به سمتی که به منطقه ی تقریبی رشد افراد حساس ا...
15 صفحه اولon the relationship between linguistic, visual-spatial, interpersonal intelligences and technical translation quality
abstract this study tried to investigate whether there was any significant relationship between technical translation quality of the senior english translation students and their levels of verbal-linguistic, visual-spatial and interpersonal intelligences. in order to investigate the research questions, the researcher selected a hundred senior english translation students from three universitie...
Towards Vagueness-Oriented Quality Assessment of Ontologies
Ontology evaluation has been recognized for a long time now as an important part of the ontology development lifecycle, and several methods, processes and metrics have been developed for that purpose. Nevertheless, vagueness is a quality dimension that has been neglected from most current approaches. Vagueness is a common human knowledge and linguistic phenomenon, typically manifested by terms ...
متن کاملMultidimensional Ontologies for Contextual Quality Data Specification and Extraction
Data quality is context-dependent. That is, the quality of data cannot be assessed without contextual knowledge about the production or the use of data. As expected, context-based data quality assessment requires a formal model of context. Accordingly, we propose a model of context that addresses quality concerns that are related to the production and use of data. Here we follow and extend a co...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2019
ISSN: 2194-9034
DOI: 10.5194/isprs-archives-xlii-2-w13-1275-2019