An Upper-Ontology-Based Approach for Automatic Construction of IOT Ontology

Ontology gives us a reliable group of concepts and the relations between concepts in an IOT system. It does not only save words of format but also accurately transfers semantic data between human users and the computers. Hence, the usefulness of resources in IOT system depends on whether the domain...

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Main Authors: Yuan Xu, Chunhong Zhang, Yang Ji
Format: Article
Language:English
Published: Hindawi - SAGE Publishing 2014-04-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2014/594782
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author Yuan Xu
Chunhong Zhang
Yang Ji
author_facet Yuan Xu
Chunhong Zhang
Yang Ji
author_sort Yuan Xu
collection DOAJ
description Ontology gives us a reliable group of concepts and the relations between concepts in an IOT system. It does not only save words of format but also accurately transfers semantic data between human users and the computers. Hence, the usefulness of resources in IOT system depends on whether the domain ontology can be constructed effectively and correctly. In this paper we propose an automated method to construct the IOT ontology. First, we explain the necessity of introducing ontology automatic construction in IOT system and summarize the major challenges in existing approaches. Secondly, we introduced the existing ontology construction methods and summarize their issues. Thirdly, we give a framework of our ontology construction and research the key algorithms in detail: (1) knowledge-tuple extraction algorithm which contains contextual information; (2) concept semantic similarity algorithm which is based on the structure of tuple; (3) knowledge-tuple extraction model which is based on the structured information. Then we build a prototype and evaluate the ontology. Finally, we make conclusions and suggest directions for future research.
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spelling doaj.art-b65bee76c76f4596894864393b9246ad2023-09-02T23:17:53ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772014-04-011010.1155/2014/594782594782An Upper-Ontology-Based Approach for Automatic Construction of IOT OntologyYuan XuChunhong ZhangYang JiOntology gives us a reliable group of concepts and the relations between concepts in an IOT system. It does not only save words of format but also accurately transfers semantic data between human users and the computers. Hence, the usefulness of resources in IOT system depends on whether the domain ontology can be constructed effectively and correctly. In this paper we propose an automated method to construct the IOT ontology. First, we explain the necessity of introducing ontology automatic construction in IOT system and summarize the major challenges in existing approaches. Secondly, we introduced the existing ontology construction methods and summarize their issues. Thirdly, we give a framework of our ontology construction and research the key algorithms in detail: (1) knowledge-tuple extraction algorithm which contains contextual information; (2) concept semantic similarity algorithm which is based on the structure of tuple; (3) knowledge-tuple extraction model which is based on the structured information. Then we build a prototype and evaluate the ontology. Finally, we make conclusions and suggest directions for future research.https://doi.org/10.1155/2014/594782
spellingShingle Yuan Xu
Chunhong Zhang
Yang Ji
An Upper-Ontology-Based Approach for Automatic Construction of IOT Ontology
International Journal of Distributed Sensor Networks
title An Upper-Ontology-Based Approach for Automatic Construction of IOT Ontology
title_full An Upper-Ontology-Based Approach for Automatic Construction of IOT Ontology
title_fullStr An Upper-Ontology-Based Approach for Automatic Construction of IOT Ontology
title_full_unstemmed An Upper-Ontology-Based Approach for Automatic Construction of IOT Ontology
title_short An Upper-Ontology-Based Approach for Automatic Construction of IOT Ontology
title_sort upper ontology based approach for automatic construction of iot ontology
url https://doi.org/10.1155/2014/594782
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