2 research outputs found

    A Graph-Based Web Services Discovery Framework for IoT EcoSystem

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    Nowadays, the Internet of Things (IoT) represents an important topic and research domain with multiple objectives. However, most IoTs communicate poorly across the multitude of network interfaces. It should be preferably used a single universal application layer protocol for the devices and services interconnection, regardless of how they are physically connected. The IoT paradigm boosts the device connectivity and the user accessibility benefits of services introduced within the network of connected objects associated with a context-awareness. Within this frame of reference, Web service is the appropriate technological approach to exhibit a set of related IoT functionalities loosely coupled with other services discovered or composed through the Web. In this work, we consider the heterogeneity of connecting technologies for IoT and the applications and devices integration in a single interoperable framework as a research objective. With this in mind, we introduce a five layers multigraph model for Web Services discovery and recommendation, and we address Web services-based applications for IoT data integration. The launched service discovery process permits the interaction between the user/application and the IoT environment. In this context, the choice of suitable services represents a challenge that covers the functionality and the required quality to combine composite services, namely mashups for IoT data management and interconnection. For proof of concept, we test a RESTful Web Services framework as an experimental platform to animate a graph-based approach for dynamic IoT services discovery. We develop a recommender system that performs graph analytics to produce a set of services according to the user's request. The quality of the recommendation process is evaluated by analyzing the correlation of user satisfaction

    Minimally invasive semantification of light weight service descriptions

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    Unification and automation of RESTful web services' documentation and descriptions is currently receiving increasing attention. The open-source OpenAPI Specification (formerly known as Swagger) has become core of this effort and has been adopted by a number of major companies. It allows the description of RESTful web services using objects represented in JSON or YAML file formats. As a result, the created descriptions are human and machine-readable, but not machine-understandable. In this paper, we propose a nonintrusive approach for the addition of semantic annotations (similar to RDFa and JSON-LD for HTML) to specific fields of the OpenAPI Specification. We created a lightweight vocabulary for describing RESTful web services using this specification. Furthermore, we practically demonstrate how OpenAPI objects can be enriched with semantic descriptions in a minimally invasive way by adding URIs in the values of chosen OpenAPI properties
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