A multi-domain framework for community building based on data tagging

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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. © 2012 Springer-Verlag Berlin Heidelberg.

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APA

Božić, B. (2012). A multi-domain framework for community building based on data tagging. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7650 LNCS, pp. 441–444). Springer Verlag. https://doi.org/10.1007/978-3-642-35173-0_35

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