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SPARQL Query Optimization using Nature Inspired Algorithms

Name: SPARQL Query Optimization using Nature Inspired Algorithms
Brand: LAP Lambert Academic Publishing
SKU: 18682424
Price: 30.27 EUR
Availability: InStock
Author: Gomathi Ramalingam
ISBN: 9786202072489

Gomathi Ramalingam

Sharmila Dhandapani

Jezik

Angleščina

Knjiga Mehka

Koda Libristo: 18682424

Založba LAP Lambert Academic Publishing, november 2016

The emergence of multiple web pages day by day leads to the development of the Semantic Web technolo... Celoten opis

Koda Libristo: 18682424

73 b

30.27 €

Na zalogi pri dobavitelju Odposlali bomo v 5-8 dneh

30 dni za vračilo blaga

The emergence of multiple web pages day by day leads to the development of the Semantic Web technology. A World Wide Web Consortium (W3C) standard for storing semantic web data is the Resource Description Framework (RDF). To enhance the efficiency in the execution time for querying large RDF graphs, the evolving meta-heuristic algorithms become an alternate to the traditional query optimization methods. This book focuses on the problem of query optimization of semantic web data. An efficient nature inspired algorithm called Adaptive Cuckoo Search (ACS) for querying and generating optimal query plan for large RDF graphs is discussed in this book.