IMPROVING VOLUNTEERED GEOGRAPHIC DATA QUALITY USING SEMANTIC SIMILARITY MEASUREMENTS
نویسندگان
چکیده
منابع مشابه
Improving Volunteered Geographic Data Quality Using Semantic Similarity Measurements
Studies have analysed the quality of volunteered geographic information (VGI) datasets, assessing the positional accuracy of features and the completeness of specific attributes. While it has been shown that VGI can, in some context, reach a high positional accuracy, these works have also highlighted a large spatial heterogeneity in positional accuracy, completeness but also with regards to the...
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Volunteered geographic information (VGI) is generated by heterogenous ‘information communities’ that co-operate to produce reusable units of geographic knowledge. A consensual lexicon is a key factor to enable this open production model. Lexical definitions help demarcate the boundaries of terms, forming a thin semantic ground on which knowledge can travel. In VGI, lexical definitions often app...
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Georeferencing and semantic annotations improve the findability of geoinformation because they exploit relationships to existing data and hence facilitate queries. Unlike georeferencing, which grounds location information in reference points on the earth’s surface, semantic annotations often lack relations to entities of shared experience. We suggest an approach to semantically reference geoinf...
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Volunteered geographic information (VGI) is a phenomenon of recent years, offering an alternative mechanism for the acquisition and compilation of geographic information. As such it offers substantial advantages, but suffers from a general lack of quality assurance. We discuss the issues involved in the determination of quality for geospatial data, and trace the history of research on VGI quali...
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ژورنال
عنوان ژورنال: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2013
ISSN: 2194-9034
DOI: 10.5194/isprsarchives-xl-2-w1-143-2013