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Title: An efficient weather prediction based on linked data for smart tour
Authors: N. Senthilselvan, V. Subramaniyaswamy, K. R. Sekar
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2016
Volume: 11
Issue: 21
Language: English
In the past one decade linked open data plays an inevitable role in the research arena. Mobility plays a vital role with human fast communication. Location identifiers are an important factor that is incorporated in smart phones. Images and histories are also a part of the same. Now in this paper the proposed methodology is to include the weather condition in that particular location through the well renowned classification methodologies that produces lots of information to the customers for arranging their convenience. Metadata set has been taken from the portal www.indiawaterportal.org; and there it is possible to take 100 years average data for 29 districts in tamilnadu. For these work 348 records taken and the sample dataset is depicted for example. Ontology, semantic and taxonomy were implied in the same dataset.
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