Abstract
Data integration has always been a major problem in computer sciences. The more heterogeneous, large and distributed the data sources become, the more difficult the data integration process is. Nowadays, more and more information is being made available on the Web. This is especially the case in the Open Data (OD) movement. Large quantities of datasets are published and accessible. Besides size, heterogeneity grows as well: Datasets exist e.g. in different formats and shapes (tabular files, plain-text files and so on). The ability to efficiently interpret and integrate such datasets is of paramount importance for their potential users. Information Visualization may be an important tool to support this OD integration process. This article presents problems which can be encountered in the data integration process, and, more specifically, in the OD integration process. It also describes how Information Visualization can support OD integration process and make it more effective, friendlier, and faster.
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Notes
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Drupal is a Content Management System which has grown in popularity in the last few years due to its openness, modularity and features [30].
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Carvalho, P., Hitzelberger, P., Otjacques, B., Bouali, F., Venturini, G. (2015). Using Information Visualization to Support Open Data Integration. In: Helfert, M., Holzinger, A., Belo, O., Francalanci, C. (eds) Data Management Technologies and Applications. DATA 2014. Communications in Computer and Information Science, vol 178. Springer, Cham. https://doi.org/10.1007/978-3-319-25936-9_1
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