LRS: A Novel Learning Routing Scheme for Query Routing on Unstructured P2P Systems

Yeferny, Taoufik; Arour, Khedija; Bouzeghoub, Amel

doi:10.1007/978-3-642-45315-1_3

Cited by 1 publication

(1 citation statement)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This research is trying to show the potential of ontology for the development of an intelligent and efficient query system compared to a semantic-free search method. The random search method adapted in this study is based on the Gnutella algorithm (Breadth-First Search (BFS) algorithm), which uses flooding to search all the workshops for a given query (Arour & Yeferny, 2015;Kapoor, Mehta, Puri, & Saxena, 2013;Yeferny, Arour, & Bouzeghoub, 2013). This method is well documented, and it is used due to its simplicity of implementation.…”

Section: Random Search Protocolmentioning

confidence: 99%

An ontology-based intelligent data query system in manufacturing networks

Saeidlou

Saadat

Sharifi

et al. 2017

Production & Manufacturing Research

View full text Add to dashboard Cite

This paper investigates the development of an intelligent data query framework through the use of semantic web technologies for manufacturing purposes. The primary objectives of the ontologybased data query were to develop an efficient and scalable data interoperability and retrieval system; in order to find the most relevant query results with minimum message cost, most hits per query and least response time. This document explains the idea of ontology and the application of the same in the manufacturing domain. A computer simulation software was developed based on a real case study of distributed networks of manufacturing workshops. In this research, a semantic query algorithm was developed where query results are returned by investigating the semantic richness of each workshop. Results were compared with a semantic-free search mechanism based on key performance indicators. The results show the validity of the proposed model for efficient data query when compared to random search.

show abstract

Section: Random Search Protocolmentioning

confidence: 99%