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http://dx.doi.org/10.9717/kmms.2017.20.7.1054

User Targerting SaaS Application Mash-Up Service Framework using Complex-Context and Rule-Martix  

Jung, Jong Jin (Korea Electronics Technology Institute, Smart Media Research Center)
Cui, Yun (Dept. of Internet & Multimedia Engineering, Konkuk University)
Kwon, Kyung Min (Innogrid Co., Ltd)
Lee, Han Ku (Dept. of Software, Konkuk University)
Publication Information
Journal of Korea Multimedia Society / v.20, no.7, 2017 , pp. 1054-1064 More about this Journal
Abstract
With the development of cloud computing, internet technology and Internet of Things(IoT), most of applications are being smarter and changing from native application to SaaS (Software as a Service) application. New versatile SaaS applications are being released through various app portals (e.g. appstore, googleplay, T-Store, and so on). However, a user has a difficulty in searching, choosing an suitable application to him. It is also hard for him to know what functions of each SaaS application are useful. He wants to be recommended something inter-operated SaaS service according to his personality and his situation. Therefore, this paper presents a way of making mash-up of SaaS applications in order to provide the most convenient inter-operated SaaS service to user. This paper also presents SaaS Application Mash-up Framework (SAMF), complex context and rule matrix. The proposed SAMF is a main system that totally manage SaaS application mash-up service. Complex context and rule matrix are key components in order to recommend what SaaS applications are needed and how those SaaS applications are inter-operated. The SAMF collects complex contexts (User Description, Status Description, SaaS Service Description) in order to choose which SaaS applications are useful, analyze what functions to use, how to mash-up.
Keywords
SaaS Application Mash-Up System; SaaS Application Mash-up Framework; SaaS Aggregation; Complex Context; User Description; Status Description; SaaS Service Description; Legacy SaaS; IoT Type SaaS; Rule-Matrix; Data Binding;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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