Abstract
Recent technologies in the Internet of Things (IoT) environment aim to provide intelligent services to users. Intelligent services can be managed and executed by systems that handle context information sets. Handling intelligent services leads to three major considerations: objects in the real world that should be described as metadata, a data enrichment procedure from sensing values for representing states, and controlling functionalities to manage services. In this study, an extensible data-enrichment scheme is proposed. The proposed scheme provides a way to describe profiles, data abstraction procedures, and functionalities that support the building of context information sets derived from raw datasets in the manner of a semantic web stack. Finally, data enrichment will help any system that uses context information by providing improved, understandable, and readable datasets to the service developers or the systems themselves.
Highlights
With the advent of Internet technology, the term “Internet of ings (IoT) environment” broadly applies to diverse industries and domains, such as agriculture, robotics, and autonomous vehicles [1,2,3]
We propose a new scheme called ingsMetadata to address these issues as an XML implementation of the semantic web stack. ingsMetadata enables both software developers and robotics engineers to describe objects in the real world as metadata, for example, profiles, sensor devices, and robotic devices
An extensible data enrichment scheme referred to as ingsMetadata is proposed. e goal of the scheme is to provide description sets to service developers who have an interest in handling objects in a real-world scene. e description sets mainly consist of two parts
Summary
With the advent of Internet technology, the term “Internet of ings (IoT) environment” broadly applies to diverse industries and domains, such as agriculture, robotics, and autonomous vehicles [1,2,3]. IngsMetadata enables both software developers and robotics engineers to describe objects in the real world as metadata, for example, profiles, sensor devices, and robotic devices It provides basic information and processing routines for representing them into Resource Description Framework (RDF) triplet called a data enrichment procedure. The study of Sensors, Observations, Actuation, and Sampling (SOSA) ontology [23] provides broad perspectives of sensor devices, observations from it, actuations for processing collected observations, and sampling to represent the value of a property, respectively It mainly focuses on building meta datasets for ings with four concepts of each SOSA component and representing them as a knowledge base. When software developers attempt to test or operate robotic devices, they usually follow the built-in default settings, they are not familiar with the ROS environment To overcome this issue, a variety of data description structures with the JSON API have been established in the study by Rosbridge [48].
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