Open AccessA Recommendation Approach to Enhance the Interoperability between Spatial Datacubes
Author(s) -
Saida Aissi,
Tarek Sboui,
Mohamed Salah Gouider,
Mohamed Ali Ben Hassine,
Lamjed Ben Saïd
Publication year - 2015
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2015.07.254
Subject(s) - interoperability , computer science , context (archaeology) , process (computing) , information retrieval , semantic interoperability , visualization , human–computer interaction , database , artificial intelligence , world wide web , programming language , paleontology , biology
Data warehouses are being considered as substantial elements for decision support systems. They are usually structured according to the multidimensional paradigm, i.e. datacubes. Spatial datacubes contain spatial components that allow spatial visualization and aggregation. One may need to use several spatial datacubes which may be semantically heterogeneous and having different degrees of appropriateness to the context of use. Interoperability has been considered as an appropriate paradigm for using several datacubes. However, the interoperability process may become more complex with increasing number of candidate datacubes. On the other hand, recommendation is a process that proposes personalized queries according to the user's needs. This paper proposes an approach that aims to enhance the interoperability process by selecting, among candidate datacubes, those that better fit the interoperability process
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