International Journal of the Computer, the Internet and Management Vol.27 No.2 (May-August, 2019) pp. 34-42 34 Development of Data Quality Framework for Linked Data Readiness Assessment of Thailand Open Government Data Phimphan Thipphayasaeng 1 , Marut Buranarach 2 , and Poonpong Boonbrahm 3 1, 3 School of Informatics, Walailak University, Thailand 2 National Electronics and Computer Technology Center, Thailand 1 phimphan.thi@gmail.com 2 marut.bur@nectec.or.th 3 poonpong@gmail.com 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. Keywords - Linked Open Data, Open Government Data, Linked Data Readiness Assessment I. INTRODUCTION Nowadays, data play important role in computational and analytic process. Essentially, data are the plain facts and statistics collected during the operations in every task. They can be used in many ranges of activities such as analysis and prediction. With the help from internet, many data are provided in a web. The most preferred data are those structured data ready for computational processing by machines. World Wide Web Consortium (W3C) hence coined the term about linked open data (LOD) [1] and their standard to support a development towards semantic web. LOD is a combination of two concepts as linked data (LD) and open data (OD). Thus, LOD is defined as interlinked data released under an open license [2]. Recently, OD projects [3-5] have been established in several countries including Thailand [6] and become successful in sharing data. However, very few LD projects have been set up since LD is more complicate in development from semantic understanding and linking for more advance querying. One of the common methods to develop LOD is to enhance OD with linking relation. Nevertheless, improving OD to LOD involves several factors such as understanding of data meaning, acceptable quality of data schema, and possible linked content of data.