Abstract
In this paper, we present a doctoral thesis which introduces a new approach of time series enrichment with semantics. The paper shows the problem of assigning time series data to the right party of interest and why this problem could not be solved so far. We demonstrate a new way of processing semantic time series and the consequential ability of addressing users. The combination of time series processing and Semantic Web technologies leads us to a new powerful method of data processing and data generation, which offers completely new opportunities to the expert user.
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Božić, B. (2012). A Multi-domain Framework for Community Building Based on Data Tagging. In: Cudré-Mauroux, P., et al. The Semantic Web – ISWC 2012. ISWC 2012. Lecture Notes in Computer Science, vol 7650. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35173-0_35
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DOI: https://doi.org/10.1007/978-3-642-35173-0_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35172-3
Online ISBN: 978-3-642-35173-0
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