Development of Data Quality Framework for Linked Data Readiness Assessment of Thailand Open Government Data
Journal Title: International Journal of the Computer, the Internet and Management - Year 2019, Vol 27, Issue 2
Abstract
This research proposes an assessment model for measuring semantic and linkable potential of open data to support an improvement towards Linked open data readiness. The model is designed to use content statistics of data for calculating score to represent difference of data potential for linking in range of 0 to 1. There are two main aspects for assessing as semantic type degree and linkability. The semantic based aspect focuses on quality of data involving in semantic meaning and frequency of existing semantic concepts. The linkability is to find a possibility to create links within datasets. Datasets in this work are the data provided in open government data of Thailand for preparation towards improving to linked open data readiness. From experiments, the results showed that the model can discriminatively generate a score to identify aspect-based quality as intended. The correlation results of both proposed aspects signified that scores of semantic type degree were positively correlated to score from linkability.
Authors and Affiliations
Phimphan Thipphayasaeng, Marut Buranarach, Poonpong Boonbrahm
Keywords
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