Join Operation for Semantic Data Enrichment of Asynchronous Time Series Data
Join Operation for Semantic Data Enrichment of Asynchronous Time Series Data
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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In this paper, we present a novel framework for enriching time series data in smart cities by supplementing it with information from external sources via semantic data enrichment. Our methodology effectively merges multiple data sources into a uniform time series, while addressing difficulties such as data quality, contextual information, and time...
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Join Operation for Semantic Data Enrichment of Asynchronous Time Series Data
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TN_cdi_doaj_primary_oai_doaj_org_article_a87bc4c74f7647c8b7334f10faba750e
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a87bc4c74f7647c8b7334f10faba750e
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ISSN
2075-1680
E-ISSN
2075-1680
DOI
10.3390/axioms12040349
