Automated Predictive Big Data Analytics Using Ontology Based Semantics
Journal: International Journal of Engineering and Techniques (Vol.3, No. 3)Publication Date: 2017-05-01
Authors : Karthikeyan R Dr.T.Geetha Vasanthakumar K Vetrivel A;
Page : 77-81
Keywords : -;
Abstract
Study the growth history of galaxies by following their 'merger trees' in large-scale astrophysical simulations. The service uses the addition of lambda expressions and the Stream API in Java 8, Java has gained a powerful and expressive query language that operates over in-memory collections of Java objects, making the transformation and analysis of data more convenient. There is much enthusiasm currently about the possibilities created by new and more extensive sources of data to better understand and manage cities. Here, I explore how big data can be useful in urban planning by formalizing the planning process as a general In this paper we discuss Pig SPARQL, a competitive yet easy to use SPARQL query processing system on Map Reduce that allows adhoc SPARQL query processing on large RDF graphs out of the box. Instead of a direct mapping, Pig SPARQL uses the query.
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