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Erschienen in:
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2015 | OriginalPaper | Buchkapitel

Using Information Visualization to Support Open Data Integration

verfasst von : Paulo Carvalho, Patrik Hitzelberger, Benoît Otjacques, Fatma Bouali, Gilles Venturini

Erschienen in: Data Management Technologies and Applications

Verlag: Springer International Publishing

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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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Nächstes Kapitel Security Issues in Distributed Data Acquisition and Management of Large Data Volumes
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Metadaten
Titel
Using Information Visualization to Support Open Data Integration
verfasst von
Paulo Carvalho
Patrik Hitzelberger
Benoît Otjacques
Fatma Bouali
Gilles Venturini
Copyright-Jahr
2015
Buch
Data Management Technologies and Applications

Print ISBN: 978-3-319-25935-2

Electronic ISBN: 978-3-319-25936-9

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-25936-9_1

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