Semantic service discovery and matching for semi-automatic service mashup

Abstract

A service mashup goes through several processes, which it takes much time and efforts for developers to mash up of many heterogeneous web services. To mitigate the complexity of a serviee mashup and automate the mashup process, the present paper proposes semantic service discovery and matching technologies. The semantic service discovery technology is eapable of finding out more appropriate and ranked services with a given query, and the semantic service matehing technology enables searehing for eompatible and interoperable services automatically across a number of heterogeneous web services. The semantic service discovery and matehing teehnologies are based on the service ontology and service metadata that play important roles in relieving the seman tie gap between a user's natural query and the teehnical service description. To verify the usability and effectiveness of the proposed teehnologies on this environment, experiments and simple use cases are shown. The results indicate that the proposed technologies help developers ereate new mashup applieations more effeetively and conveniently.

A Novel Approach to Construct Semantic Mashup using Patterns

“…It is composed of data, processing and visualization gadgets. Another work (Park et al 2015) proposes a semantic service mashup for the development of a smart TV application. For this, they construct a semantic service discovery and a semantic service matching to automate the mashup process.…”

“…Currently, several papers have dealt with the automatic integration of data and APIs in mashup applications ( (Kopecký et al, 2007), (Lathem et al, 2007), (Maleshkova et al, 2009), (Ngu et al, 2010), (Meditskos & Bassiliades, 2011), (Malki & Benslimane, 2012), , (Lee, 2014), (Tjoa et al, 2015), (Park et al, 2015), (Lee, 2015) and (Trinh et al, 2016)). The key challenges of these approaches are the need to 1) compute semantic and syntactic similarities between data in different services and 2) create or modify workflows in mashup applications without enlisting the talents of the original developers or vendor.…”