The development uses the webhook method which is used to design the telegram bot and performs system testing using BlackBox testing. The existence of the covid-19 pandemic is also an impetus for writers to develop web services and telegram bots which will later be used as tools to search for health care places. The Sidoarjo City Government also pays attention to the health level of its people, to promote better health services, a forum or media is needed to obtain information on the location of health services in Sidoarjo City, therefore the people of Sidoarjo need a location-based health service information system application. In the era of technological advances and the current era, the city of Sidoarjo is known as an industrial city and is also known as a densely populated city because many immigrants seek work in Sidoarjo City. Experiments on the developed prototype show the feasibility and the scalability of our proposed composition approach. Moreover, extending the user query by related similar entities adds semantics to the matchmaking process in the KB context. Focusing on API resources reduces the space of searching for candidate operations. Our dependency graph realizes matchmaking based on identifying similar entities of the API resources and the attributes of the requested input and output parameters. Finally, we perform discovery and composition of Web APIs based on their related entities extracted from the KB. Then, we link both the API resource described in the OAS (Open API Specification) documents and the input/output attributes of Web API operations to entities of the given KB. We first consider the APIs resources that make up the main core of REST Web APIs. In this paper, we address the composition of Web APIs based on entity linking of Web APIs to a given knowledge base (KB).

In the classical semantic composition approach, the matchmaking process uses ontologies to ensure semantic matching between inputs and outputs. Web APIs composition is still a challenging task.

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