Publishing OpenData with high quality and high value is the interest of many scientific research communities. The huge part of these published data concern government domain under the notion of Open Government Data “OGD”. This concept aims to expose appropriate information to the government users (citizens, enterprises and public administrations) in various domains (health, economic, etc.). For this reason, a set of datasets has been published through OGD portal. However these datasets couldn’t be efficiently used by OGD portals users that can be citizens or machine. Therefore, in this paper, we aim to study and identify the main problems, which don’t enable using (by citizens) or processing (by machine) efficiently the OGD datasets. To this end, we use Moroccan OGD to extract and illustrate these problems. This paper proposes as well an approach of OGD machine processability that can help to improve the quality of published OGD datasets and enable extracting useful information from them, helping thus citizens in their daily life and companies in their decisions making process.
CITATION STYLE
Elmekki, H., Chiadmi, D., & Lamharhar, H. (2019). Open government data: Problem assessment of machine processability. In Smart Innovation, Systems and Technologies (Vol. 111, pp. 492–501). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-03577-8_54
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