Fuzzy Based Quality of Service (QoS) for Institutional Repositories

Fuzzy logic has been widely used in real world especially in automation and process control. It is  best solution and much appropriate when working with indefinite information. With the changing requirements of the users working with the Web service discovery the next phase of institutional repositories are moving towards the Fuzzy Logics to provide QoS especially in Web Discovery.  When using QoS it provides different priority to different applications and users to guarantee a certain level of performance to data flow with non-functional properties of Web-service such as response time, performance, security, availability and reliability. Literature is already present which shows work on Fuzzy Logic (FL) applications for Knowledge Discovery (KD), focusing on Information Retrieval (IR) and Information Extraction (IE). Fuzzy logic enables the data representation with linguistic variables and fuzzy values. Further, the fuzzy matchmaking framework abstractly represents the underlying data of web services using fuzzy logic and semantic web technologies in order to optimize the discovery process. It is imperative to say Computational Intelligence, and mainly Fuzzy Logic, emerges as an ideal tool for Institutional Repositories in coming time. So, the paper will study the upcoming approaches which are developed for extensive description and publication mechanisms involving use of syntactic, semantic, and structural reviews of Web service specifications. The proposal presents an overview which focus on developing fuzzy-based approach for Web service discovery for institutional repositories. The paper will also study the available Web service technologies such as WSDL and UDDI, which are used for publishing and discovering Web services and will investigate how these can be used for Institutional Repositories to have better functionality and support design time.