Semantic service selection using Genetic Algorithm

Author

Jayaprakash, C. ; Yaamini, S.K. ; Maheswari, V.

Author_Institution

Dept. of Inf. Technol., KLN Coll. of Inf. Technol., Sivagangai, India

fYear

2013

fDate

11-12 April 2013

Firstpage

1274

Lastpage

1277

Abstract

In this paper, our focus is based on the study of similar Service Selection which is a challenging task to discover and deliver services prevails in semantic web mining research. Here, we enhance the QoS parameters like reliability, availability and consistency of service selection by implementing Genetic Algorithm (GA) in ontology repository, which is a search heuristic that mimics the process of natural evolution is used to generate useful solutions to optimize the number of similar services related to domain and search problems. We also evaluate reliability of service selection from ontology repository by considering two various parameters such as execution time and memory processing time and the reliability evaluation has been done by comparing a normal search and ontology-based search.

Keywords

Web services; data mining; genetic algorithms; quality of service; semantic networks; telecommunication network reliability; QoS parameters; Web mining research; execution time; genetic algorithm; memory processing time; natural evolution; ontology repository; ontology-based search; reliability evaluation; semantic service selection; Genetic algorithms; Ontologies; Reliability; Semantic Web; Web mining; Web services; Genetic Algorithm (GA); Ontology; Ontology Repository; Reliability; Semantic Web Mining; Service Discovery; Service Selection; Web Mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Information & Communication Technologies (ICT), 2013 IEEE Conference on

Conference_Location

JeJu Island

Print_ISBN

978-1-4673-5759-3

Type

conf

DOI

10.1109/CICT.2013.6558297

Filename

6558297