Please use this identifier to cite or link to this item:
https://ptsldigital.ukm.my/jspui/handle/123456789/476116
Title: | A framework for composite web services using pattern mining and service dependency graph |
Authors: | Khatereh Noei (P54324 ) |
Supervisor: | Mohamad Zakree, Dr. |
Keywords: | Composite web Web services |
Issue Date: | 2014 |
Description: | Due to the large number of available services further discovery of newer services is a difficult and time consuming. Some recent works have focused on both discovery and composition of services but little attention has been paid to extracting patterns of composite services already frequently being used. In this research, an algorithm that discovers the semantic web composite services frequent usage patterns processed by web services that run result logs are presented andsecondly a framework that uses a graph-based structure to store semantic web services. In addition this research also deals with the reuse of composite web services that are frequently already being used. This is conducted by applying patterns and updating the defined weights for service graph crests and vertices. Finally the proposed framework is evaluated and analyzed by a tool obtained through the OWLS-mx 2.0 tool development. The evaluation indicates that this framework can extract frequent patterns existing in the composite web services by the Sequential Pattern Extraction for Service Usage (SPESU) algorithm and add these to the existing service set in graph-based repository that is Enhanced of Service Dependency Graph (ESDG). We have analyzed efficiencyand consumption memory at services discovery stage. In this way, the composite service is treated as a single service when searching for services. This task is done in such a way that it does notcause any decrease in efficiency at the service exploration stage.,Master/Sarjana |
Pages: | 86 |
Call Number: | TK5105.88813.N636 2014 3 tesis |
Publisher: | UKM, Bangi |
URI: | https://ptsldigital.ukm.my/jspui/handle/123456789/476116 |
Appears in Collections: | Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat |
Files in This Item:
File | Description | Size | Format | |
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ukmvital_72957+Source01+Source010.PDF Restricted Access | 1.7 MB | Adobe PDF | ![]() View/Open |
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