Towards an Open Ontology for Renewable Resource Management in Smart Self-Sustainable Human Settlements

Author:

Tomicic IgorORCID,Schatten MarkusORCID,Shkarupylo VadymORCID

Abstract

This paper proposes an open ontology for self-sustainable human settlements in an effort to set the common language for modelling self-sustainable systems and address the issues regarding heterogeneity of physical devices, protocols, software components, data and message formats and other relevant factors, which proved to be unavoidable in implementations of smart systems in the domain of self-sustainability, smart homes, Internet of things, smart energy management systems, demand side systems, and related areas of research and engineering. Although the existing body of research is showing significant results in related, specialized research areas, currently there is no common formal language available which would bring the diversity of such research efforts under a single umbrella and thus enhance and integrate such efforts, which is often pointed out by the researchers in related fields. This paper discuses self- sustainable systems and associated areas, argues the need for the ontology development, presents its scope, development methodology, domain’s architecture and metamodel, and finally the proposed ontology itself, implemented in an open OWL format.

Publisher

Pensoft Publishers

Subject

General Computer Science,Theoretical Computer Science

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Model Construction of Leadership in Digital Human Resource Management;2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS);2023-02-24

2. Virtual Digital Intelligent Technology in Enterprise Human Resource Management System;2022 International Conference on Knowledge Engineering and Communication Systems (ICKES);2022-12-28

3. Human Resource Management Model Design Based on Clustering Algorithm;2022 International Conference on Artificial Intelligence of Things and Crowdsensing (AIoTCs);2022-10

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