Title :
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
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;
Conference_Titel :
Information & Communication Technologies (ICT), 2013 IEEE Conference on
Conference_Location :
JeJu Island
Print_ISBN :
978-1-4673-5759-3
DOI :
10.1109/CICT.2013.6558297
