[PDF][PDF] Domain Ontology for Time Series Provenance.
Time series data are generated all the time with a volume without precedent, constituting
themselves of a points sequence spread out over time, usually at time regular intervals. Time …
themselves of a points sequence spread out over time, usually at time regular intervals. Time …
Modular development of ontologies for provenance in detrending time series
L de Souza, MSMG Vaz… - 2014 11th International …, 2014 - ieeexplore.ieee.org
The scientific knowledge, in many areas, is obtained from time series analysis, which is
usually done in two phases, preprocessing and data analysis. Trend extraction (detrending) …
usually done in two phases, preprocessing and data analysis. Trend extraction (detrending) …
A multi-domain framework for community building based on data tagging
B Božić - International Semantic Web Conference, 2012 - Springer
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 …
enrichment with semantics. The paper shows the problem of assigning time series data to …
[PDF][PDF] Semantically Enriching the Detrending Step of Time Series Analysis.
In time series analysis, the trend extraction–detrending is considered a relevant step of
preprocessing, where occurs the transformation of nonstationary time series in stationary …
preprocessing, where occurs the transformation of nonstationary time series in stationary …
[PDF][PDF] Filtering of Semantically Enriched Environmental Time Series
B Bozica, J Peters-Andersa, G Schimak - 2012 - scholarsarchive.byu.edu
In current time series processing there is a growing urge to add meaning to the information
being processed in order to make it more readable for users as well as understandable …
being processed in order to make it more readable for users as well as understandable …