Semantic Interoperability for IoT Agriculture Framework with Heterogeneous Devices

Author(s):  
P. Salma Khatoon ◽  
Muqeem Ahmed
2013 ◽  
Vol 860-863 ◽  
pp. 2880-2883
Author(s):  
Chuan Wu ◽  
Zhi Ping Zhou

The disunion of communication protocol standards at present creates a huge barrier against the interconnection and interoperability of heterogeneous devices in home. To solve this problem, a method of multiple protocols conversion of home gateway was proposed to integrate a variety of heterogeneous protocol networks. Firstly, a new task description language based on ClassAD was designed to describe different heterogeneous devices for communicating each other in home networks. And a plug-in expansion mechanism was introduced to improve the scalability of heterogeneous protocols and the throughput of home networks system. As a result, the ability of semantic interoperability of heterogeneous devices is achieved to integrate new applications and drivers into the deployed intelligent home system during runtime based on the proposed home gateway.


2020 ◽  
Vol 7 (4) ◽  
pp. 1-13
Author(s):  
Ismail Nadim ◽  
Yassine El Ghayam ◽  
Abdelalim Sadiq

The web of things (WoT) improves syntactic interoperability between internet of things (IoT) devices by leveraging web standards. However, the lack of a unified WoT data model remains a challenge for the semantic interoperability. Fortunately, semantic web technologies are taking this challenge over by offering numerous semantic vocabularies like the semantic sensor networks (SSN) ontology. Although it enables the semantic interoperability between heterogeneous devices, the manual annotation hinders the scalability of the WoT. As a result, the automation of the semantic annotation of WoT devices becomes a prior issue for researchers. This paper proposes a method to improve the semi-automatic semantic annotation of web of things (WoT) using the entity linking task and the well-known ontologies, mainly the SSN.


This chapter describes how the Smart-M3 platform evolved in the direction of supporting web standards (e.g., HTTP and Websockets) to be ready for the (Semantic) Web of Things. The latest step in the Smart-M3 progress is named SEPA (SPARQL Event Processing Architecture). Employing SEPA as a mean for semantic interoperability in the Web of Things means allowing heterogeneous devices to be discovered, accessed, and controlled through a set of SPARQL queries, subscriptions, and updates according to a given ontology. In this chapter, an ontology for the (Semantic) Web of Things is presented. Using web standards solves the issues of interoperability but poses new challenges with respect to the typical constraints of IoT applications.


2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Sohail Jabbar ◽  
Farhan Ullah ◽  
Shehzad Khalid ◽  
Murad Khan ◽  
Kijun Han

Interoperability remains a significant burden to the developers of Internet of Things’ Systems. This is due to the fact that the IoT devices are highly heterogeneous in terms of underlying communication protocols, data formats, and technologies. Secondly due to lack of worldwide acceptable standards, interoperability tools remain limited. In this paper, we proposed an IoT based Semantic Interoperability Model (IoT-SIM) to provide Semantic Interoperability among heterogeneous IoT devices in healthcare domain. Physicians communicate their patients with heterogeneous IoT devices to monitor their current health status. Information between physician and patient is semantically annotated and communicated in a meaningful way. A lightweight model for semantic annotation of data using heterogeneous devices in IoT is proposed to provide annotations for data. Resource Description Framework (RDF) is a semantic web framework that is used to relate things using triples to make it semantically meaningful. RDF annotated patients’ data has made it semantically interoperable. SPARQL query is used to extract records from RDF graph. For simulation of system, we used Tableau, Gruff-6.2.0, and Mysql tools.


Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2571
Author(s):  
Salvatore Cavalieri

In the era of Industry 4.0, pervasive adoption of communication technologies based on the Internet of Things represents a very strong requirement in several domains. In the smart grid domain, there is the need to overcome one of the main limitations of the current electric grid, allowing the use of heterogeneous devices capable of measuring, monitoring and exchanging information about grid components. For this reason, current literature often presents research activities about enabling internet of things (IoT) in smart grids; in particular, several proposals aim to realize interworking between IoT and smart grid communication standards, allowing exchange of information between IoT devices and the electrical grid components. Semantic interoperability should be achieved in an interworking solution in order to provide a common meaning of the data exchanged by heterogeneous devices, even if they belong to different domains. Until now, semantic interoperability remains an open challenge in the smart grid field. The paper aims to propose a novel solution of interworking between two of the most used communication systems in smart grids and IoT domains, i.e., IEC 61850 and oneM2M, respectively. A semantic interoperability solution is also proposed to be used in the interworking scheme here presented.


1998 ◽  
Vol 37 (04/05) ◽  
pp. 518-526 ◽  
Author(s):  
D. Sauquet ◽  
M.-C. Jaulent ◽  
E. Zapletal ◽  
M. Lavril ◽  
P. Degoulet

AbstractRapid development of community health information networks raises the issue of semantic interoperability between distributed and heterogeneous systems. Indeed, operational health information systems originate from heterogeneous teams of independent developers and have to cooperate in order to exchange data and services. A good cooperation is based on a good understanding of the messages exchanged between the systems. The main issue of semantic interoperability is to ensure that the exchange is not only possible but also meaningful. The main objective of this paper is to analyze semantic interoperability from a software engineering point of view. It describes the principles for the design of a semantic mediator (SM) in the framework of a distributed object manager (DOM). The mediator is itself a component that should allow the exchange of messages independently of languages and platforms. The functional architecture of such a SM is detailed. These principles have been partly applied in the context of the HEllOS object-oriented software engineering environment. The resulting service components are presented with their current state of achievement.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Bo Sun ◽  
Fei Zhang ◽  
Jing Li ◽  
Yicheng Yang ◽  
Xiaolin Diao ◽  
...  

Abstract Background With the development and application of medical information system, semantic interoperability is essential for accurate and advanced health-related computing and electronic health record (EHR) information sharing. The openEHR approach can improve semantic interoperability. One key improvement of openEHR is that it allows for the use of existing archetypes. The crucial problem is how to improve the precision and resolve ambiguity in the archetype retrieval. Method Based on the query expansion technology and Word2Vec model in Nature Language Processing (NLP), we propose to find synonyms as substitutes for original search terms in archetype retrieval. Test sets in different medical professional level are used to verify the feasibility. Result Applying the approach to each original search term (n = 120) in test sets, a total of 69,348 substitutes were constructed. Precision at 5 (P@5) was improved by 0.767, on average. For the best result, the P@5 was up to 0.975. Conclusions We introduce a novel approach that using NLP technology and corpus to find synonyms as substitutes for original search terms. Compared to simply mapping the element contained in openEHR to an external dictionary, this approach could greatly improve precision and resolve ambiguity in retrieval tasks. This is helpful to promote the application of openEHR and advance EHR information sharing.


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