Development of Integrated Retrieval Methods for OpenAPIs and Mash-Up Capable Services

As the trend of the Web is changing toward ´Web 2.0´, OpenAPIs which is Web 2.0´s core technology are used in many Web sites. In the past, services in Websites are used in their own Web site, but recently it is possible to use services in other Websites by using OpenAPI. There are already lots of OpenAPIs and the number of OpenAPI increases in very fast pace. So it is difficult to find a service that we want to use, and also difficult to find services for making mash-up services. In this paper, we developed retrieval methods for OpenAPIs and mash-up capable services based on similarity comparison. First we define the integrated service information model to cover various protocols of OpenAPI, then developed a retrieval methods such as range-based, weight-based and category-based service retrieval based on it. By implementing system according these methods by using relational database and JSP, we prove that the system can provide a ranked result sets and more efficient than related works.